Information sending method and device, electronic equipment and readable storage medium

By receiving input to the artificial intelligence interactive interface, using the AI ​​model to process information and send information automatically, the problem of low information transmission efficiency in the prior art is solved, and the effect of simplifying operations and improving efficiency is achieved.

CN119835242APending Publication Date: 2025-04-15VIVO MOBILE COMM CO LTD
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Patent Information

Application Number
CN202411882716.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-19
Publication Date
2025-04-15

AI Technical Summary

Technical Problem

In the prior art, information transmission efficiency is low, and users need to manually edit the email content, including the main text, title, etc., and the operation process is cumbersome.

Method used

By receiving input to the artificial intelligence interactive interface, using the AI ​​model to process information and send demand information, generate information sending instructions, and automatically send information to the contact person.

Benefits of technology

It simplifies the operation process of information sending, improves the efficiency of information sending, and reduces the time cost of manually inputting and sorting information by users.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses an information sending method and device, electronic equipment and a readable storage medium, and belongs to the technical field of electronics. The information sending method comprises the following steps: receiving a first input of an AI interactive interface; the first input corresponds to information sending instruction information, and the information sending instruction information comprises contact person information and information sending demand information; in response to the first input, displaying an AI processing result on the AI interactive interface; the AI processing result is a processing result of sending demand information to the information through an AI model; receiving a second input for the AI interactive interface; and in response to the second input, sending the AI processing result to a contact corresponding to the contact information.
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Description

Technical Field

[0001] The present application belongs to the field of electronic technology, and specifically relates to an information sending method, device, electronic device and readable storage medium. Background Art

[0002] In today's era of rapid digital development, smart electronic devices have become an indispensable tool in people's daily work and life. People can use smart electronic devices to send various messages to other users to communicate with other users.

[0003] In the related art, taking the sending of emails by users as an example, the users need to manually edit the email content in the email application, including the email body, email title, etc., and also need to carefully choose the words before sending the email.

[0004] However, the operation process of the above method is relatively complicated, resulting in low efficiency in information transmission. Summary of the invention

[0005] The purpose of the embodiments of the present application is to provide an information sending method, device, electronic device and readable storage medium, which can improve the efficiency of information sending.

[0006] In a first aspect, an embodiment of the present application provides an information sending method, the method comprising: receiving a first input to an artificial intelligence (AI) interaction interface; the first input corresponds to information sending instruction information, the information sending instruction information includes contact information and information sending requirement information; in response to the first input, displaying an AI processing result on the AI ​​interaction interface; the AI ​​processing result is a processing result of the information sending requirement information by an AI model; receiving a second input to the AI ​​interaction interface; in response to the second input, sending the AI ​​processing result to a contact corresponding to the contact information.

[0007] In a second aspect, an embodiment of the present application provides an information sending device, which includes: a receiving module, a display module and a sending module. The receiving module is used to receive a first input to an AI interactive interface; the first input corresponds to information sending instruction information, and the information sending instruction information includes contact information and information sending requirement information. The display module is used to display the AI ​​processing result on the AI ​​interactive interface in response to the first input; the AI ​​processing result is the processing result of the information sending requirement information by the AI ​​model. The receiving module is also used to receive a second input to the AI ​​interactive interface. The sending module is used to send the AI ​​processing result to the contact corresponding to the contact information in response to the second input.

[0008] In a third aspect, an embodiment of the present application provides an electronic device, which includes a processor and a memory, wherein the memory stores programs or instructions that can be run on the processor, and when the program or instructions are executed by the processor, the steps of the information sending method described in the first aspect are implemented.

[0009] In a fourth aspect, an embodiment of the present application provides a readable storage medium, on which a program or instruction is stored, and when the program or instruction is executed by a processor, the steps of the information sending method described in the first aspect are implemented.

[0010] In a fifth aspect, an embodiment of the present application provides a chip, comprising a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run a program or instruction to implement the information sending method as described in the first aspect.

[0011] In a sixth aspect, an embodiment of the present application provides a computer program product, which is stored in a storage medium and is executed by at least one processor to implement the information sending method as described in the first aspect.

[0012] In the embodiment of the present application, a first input to the AI ​​interactive interface is received, the first input corresponds to information sending instruction information, and the information sending instruction information includes contact information and information sending demand information; in response to the first input, the AI ​​processing result is displayed on the AI ​​interactive interface, and the AI ​​processing result is the processing result of the information sending demand information by the AI ​​model; a second input to the AI ​​interactive interface is received; in response to the second input, the AI ​​processing result is sent to the contact corresponding to the contact information. In this way, the user only needs to input the contact information and the information sending demand information, and the electronic device can sort out the information content required by the user and send the information to the contact, which simplifies the operation process of information sending and improves the efficiency of information sending. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 This is one of the flowcharts of the information sending method provided in the embodiment of the present application;

[0014] Figure 2 This is one of the interface schematic diagrams provided in the embodiment of the present application;

[0015] Figure 3 This is the second interface schematic diagram provided in the embodiment of the present application;

[0016] Figure 4 This is the third interface schematic diagram provided in the embodiment of the present application;

[0017] Figure 5 This is the fourth interface schematic diagram provided in the embodiment of the present application;

[0018] Figure 6 This is the fifth interface schematic diagram provided in the embodiment of the present application;

[0019] Figure 7 This is the sixth interface schematic diagram provided in the embodiment of the present application;

[0020] Figure 8 This is the second flow chart of the information sending method provided in the embodiment of the present application;

[0021] Fig. 9 This is the third flow chart of the information sending method provided in the embodiment of the present application;

[0022] Fig.10 is a schematic diagram of an information sending device provided in an embodiment of the present application;

[0023] Fig.11 is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application;

[0024] Fig.12 It is a schematic diagram of the hardware structure of the electronic device provided in the embodiment of the present application. DETAILED DESCRIPTION

[0025] The following will be combined with the drawings in the embodiments of the present application to clearly describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments in the present application belong to the scope of protection of this application.

[0026] The terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first", "second", etc. are generally of one type, and the number of objects is not limited. For example, the first object can be one or more. In addition, "and / or" in the specification and claims represents at least one of the connected objects, and the character " / " generally indicates that the objects associated with each other are in an "or" relationship.

[0027] The terms "at least one (item)", "at least one of" and the like in the specification and claims of the present application refer to any one, any two or a combination of more than two of the objects included therein. For example, at least one (item) of a, b, and c can be represented by: "a", "b", "c", "a and b", "a and c", "b and c" and "a, b and c", where a, b, and c can be single or multiple. Similarly, "at least two (items)" refers to two or more, and its meaning is similar to that of "at least one (item)".

[0028] First, the abbreviations and key terms involved in the embodiments of the present application are explained.

[0029] Artificial Intelligence (AI) assistant: an intelligent program that runs on mobile smart electronic devices and is powered by big model technology. It has the ability to understand user instructions, process text information, and perform specific tasks. It can use natural language processing, machine learning and other technologies to interact with users and assist users in completing various operations. For example, after receiving instructions from users about email processing, it can generate email content and extract key information based on existing information.

[0030] AI screen text recognition: With the help of optical character recognition (OCR) technology and related image analysis and text processing algorithms, AI assistants detect, extract and convert text information displayed on the screen of mobile smart electronic devices into editable text. AI screen text recognition includes the recognition of text in different fonts, colors, and format layouts, and has a certain semantic understanding ability, which can distinguish and filter out useful email-related information.

[0031] Email semantic recognition: Through natural language processing technology and pre-trained semantic analysis models, the AI ​​assistant deeply understands and classifies text information captured from the screen. It can accurately distinguish the character combination belonging to the email address (such as a string that conforms to the email address format), key expressions related to the email subject (such as summary and general statements), and the content of the email body (including detailed information, narrative sentences, etc.), providing an accurate basis for information division and understanding for the subsequent email processing process.

[0032] Automatic email composition and sending function: After obtaining the necessary information (such as activity content, recipient email address, etc.), the AI ​​assistant automatically generates a standard email body content based on the preset email format specifications, language style templates, and natural language processing to understand and organize the content. At the same time, it can automatically extract email addresses, complete email subject generation and other operations, and interact with the email application to realize automatic email sending, without the user having to manually repeat multiple steps.

[0033] The information sending method provided in the embodiment of the present application is described in detail below through specific embodiments and their application scenarios in conjunction with the accompanying drawings.

[0034] The information sending method provided in the embodiment of the present application can be applied to the scenario where the user needs to send information, and the information may include emails, instant messaging messages, text messages, etc. Through the embodiment of the present application, the electronic device can respond to the first input to the AI ​​interactive interface, display the AI ​​processing result obtained by processing the information sending demand information through the AI ​​model on the AI ​​interactive interface, and respond to the second input to the AI ​​interactive interface, send the AI ​​processing result to the contact corresponding to the contact information.

[0035] Optionally, in the embodiment of the present application, the scenario in which the user needs to send information may include a single information processing scenario, a batch information processing scenario, an intra-platform information processing scenario, a cross-platform information integration scenario, etc. The single information processing scenario refers to a scenario in which information is sent to a single user; the batch information processing scenario refers to a scenario in which information is sent to multiple users in batches; the intra-platform information processing scenario refers to forwarding information to other users in the same application; the cross-platform information integration scenario refers to a scenario in which information from one application is converted into information and the information is sent to other users through another application.

[0036] For example, taking the information as email, the above-mentioned batch information processing scenarios may include scenarios such as batch sending of event invitations and notifications, batch sending of business data reports, etc. The above-mentioned cross-platform information integration scenarios may include scenarios such as converting social media information to emails, converting cloud note content to emails, etc.

[0037] The following is an illustrative description of the information sending method provided in the embodiments of the present application using some specific scenarios as examples.

[0038] Scenario 1: Batch sending of event invitations and notifications

[0039] When a company or organization holds a large-scale event, it needs to send invitation emails or event-related notifications to multiple event participants. In this case, the user can first trigger the opening of the "AI Assistant" on the page of the instant messaging software, and then make a first input on the page of the "AI Assistant", such as the user inputting "Help me look at this information, and then write an email", to trigger the electronic device to display multiple batch-generated emails on the page of the "AI Assistant" in response to the first input, and then the user makes a second input on the page of the "AI Assistant", such as the user touching the "Confirm Send" control, to trigger the electronic device to send the multiple emails to multiple event participants respectively.

[0040] Scenario 2: Business data report batch sending scenario

[0041] Corporate employees need to send business data report emails to leaders or team members regularly. In this case, the user can first trigger the opening of the "AI Assistant" on the data statistics software page, and then make a first input on the "AI Assistant" page, such as the user inputting "Help me look at this information, and then write an email", to trigger the electronic device to display multiple business data report emails generated in batches on the "AI Assistant" page in response to the first input, and then the user makes a second input on the "AI Assistant" page, such as the user touching the "Confirm Send" control, to trigger the electronic device to send the multiple business data report emails to the leader or team members respectively.

[0042] Scenario 3: Social media information to email

[0043] When users receive cooperation inquiries, consulting feedback and other information on social media platforms, they may need to organize these contents into emails and send them to relevant team members or partners for further processing. In this case, the user can trigger the opening of the "AI Assistant" on the social media page, and make a first input on the "AI Assistant" page, such as the user inputting "Help me look at these messages and then write an email" to trigger the electronic device to display multiple batch-generated emails on the "AI Assistant" page in response to the first input. Then, the user makes a second input on the "AI Assistant" page, such as the user touching the "Confirm Send" control to trigger the electronic device to send the multiple emails to the relevant team members or partners respectively.

[0044] Scenario 4: Cloud note content transfer to email

[0045] The user records some ideas, project progress and other content in the cloud note application, and needs to share these contents with colleagues or customers in the form of emails. In this case, the user can trigger the opening of the "AI Assistant" on the cloud note page, and make a first input on the "AI Assistant" page, such as the user inputting "Help me look at this note content, and then write an email", to trigger the electronic device to display multiple batch-generated emails on the "AI Assistant" page in response to the first input, and then the user makes a second input on the "AI Assistant" page, such as the user touching the "Confirm Send" control, to trigger the electronic device to send the multiple emails to colleagues or customers respectively.

[0046] It should be noted that the above-mentioned scenarios 1 to 4 are only exemplary examples of some scenarios in which the embodiments of the present application may be applied. In actual implementation, the embodiments of the present application can also be applied to more scenarios for sending information, and the embodiments of the present application are not limited here.

[0047] Based on the above-mentioned scenario applied by the embodiment of the present application, the information sending method provided by the embodiment of the present application can receive a first input to the AI ​​interactive interface, the first input corresponds to information sending instruction information, and the information sending instruction information includes contact information and information sending demand information; in response to the first input, the AI ​​processing result is displayed on the AI ​​interactive interface, and the AI ​​processing result is the processing result of the information sending demand information by the AI ​​model; receive a second input to the AI ​​interactive interface; in response to the second input, the AI ​​processing result is sent to the contact corresponding to the contact information. That is, the user only needs to input the contact information and the information sending demand information, and the electronic device can sort out the information content required by the user and send the information to the contact, which simplifies the operation process of information sending and improves the efficiency of information sending.

[0048] The execution subject of the information sending method provided in the embodiment of the present application may be an information sending device. Exemplarily, the information sending device may be an electronic device, or a functional component or functional entity in the electronic device. The following will take the execution subject as an electronic device as an example to exemplify the information sending method provided in the embodiment of the present application.

[0049] Figure 1 is a flow chart of the information sending method provided in the embodiment of the present application, such as Figure 1 As shown, the information sending method provided in the embodiment of the present application may include the following steps 101 to 104.

[0050] Step 101: An electronic device receives a first input to an AI interaction interface.

[0051] Optionally, in an embodiment of the present application, the above-mentioned AI interaction interface may be an interface displayed by the electronic device after the user wakes up the smart application in the electronic device.

[0052] Exemplarily, the above-mentioned intelligent application can be any intelligent software or program such as an AI assistant or AI application that can help users automatically send information.

[0053] Optionally, in an embodiment of the present application, the above-mentioned AI interaction interface can be displayed in full screen on the electronic device, or the above-mentioned AI interaction interface can be displayed on the bottom, top, left or right side of the electronic device.

[0054] Optionally, in an embodiment of the present application, the above-mentioned AI interaction interface can be displayed superimposed on the first interface currently displayed by the electronic device.

[0055] Exemplarily, the first interface may be an instant messaging application interface, a text message interface, a document interface, an album interface, and the like.

[0056] Optionally, in an embodiment of the present application, when the electronic device displays a first interface and the user needs to send a message based on the interface content of the first interface, the user can trigger the electronic device to display the AI ​​interaction interface of the smart application through a wake-up input.

[0057] Exemplarily, when the electronic device displays the first interface and the user needs to send a message based on the interface content of the first interface, the user can wake up the AI ​​assistant through voice input or key input, triggering the electronic device to display the AI ​​interaction interface at the bottom of the first interface.

[0058] For example, a user receives a message in an instant messaging application, and the electronic device displays the interface of the instant messaging application (i.e., the first interface mentioned above), which includes the message "Send an invitation letter to Zhang San, the boss of Smart ABC Company (phone number 12345611111 / email abc@123.com), to invite him to attend our developer conference to be held in City A on October 10. I hope to get his reply, and at the same time, I also want to understand his preferences for hotels and air tickets, so that we can help him arrange them." Figure 2 Then, the user can wake up the AI ​​assistant through voice, triggering the electronic device to display the AI ​​interaction interface at the bottom of the interface, and the AI ​​interaction interface displays "type input or press and hold to speak input" to remind the user to interact with the AI ​​interaction interface, such as Figure 3 shown.

[0059] Optionally, in an embodiment of the present application, the above-mentioned first input can be used to instruct the electronic device to generate information to be sent and display the information on the AI ​​interaction interface.

[0060] Optionally, in an embodiment of the present application, the first input may be voice input, text input, gesture input or handwriting input.

[0061] Exemplarily, the user may input into the AI ​​interaction interface of the electronic device via voice, or the user may input text into the AI ​​interaction interface of the electronic device.

[0062] For example, after the user wakes up the AI ​​assistant, the electronic device displays the AI ​​interaction interface, such as Figure 3 Then, the user can input "Help me look at this information and write an email" through voice, and the AI ​​interactive interface can display this text, as shown in Figure 4 shown.

[0063] In the embodiment of the present application, the above-mentioned first input corresponds to information sending instruction information, and the information sending instruction information may include contact information and information sending requirement information.

[0064] Optionally, in an embodiment of the present application, the above-mentioned first input corresponding to information sending instruction information can be understood as the electronic device determining the contact information and information sending requirement information based on the received first input, and then generating the information sending instruction information.

[0065] Optionally, in an embodiment of the present application, when the first input includes contact information, the electronic device can determine information sending request information from the interface content of the first interface after receiving the first input, and extract the contact information from the first input.

[0066] Optionally, in an embodiment of the present application, when the interface content of the first interface includes contact information, the electronic device can determine the information sending request information and the contact information from the interface content of the first interface after receiving the first input.

[0067] Optionally, in an embodiment of the present application, when neither the first input nor the interface content of the first interface includes contact information, the user can input contact information, and the electronic device can determine the information sending request information from the interface content of the first interface after receiving the first input.

[0068] Optionally, in an embodiment of the present application, when the interface content of the first interface includes contact information, the electronic device can extract the contact information from the interface content of the first interface after receiving the first input to the AI ​​interactive interface, and analyze the interface content of the first interface to obtain information sending demand information, and generate information sending instruction information according to the contact information and the information sending demand information.

[0069] Exemplarily, the electronic device can use an AI model and page recognition technology to identify the interface content of the first interface, extract contact information from the interface content of the first interface through the AI ​​model, and analyze the interface content of the first interface to obtain information sending demand information.

[0070] It should be noted that the above-mentioned AI model may be a model with functions such as page recognition, text recognition, image recognition, file recognition, information extraction, and information analysis.

[0071] Optionally, in an embodiment of the present application, the interface content of the first interface may include text, or text and a picture, or text and a file, or text, a picture and a file. The file may include a file of the type word, excel, ppt, xml, txt or pdf.

[0072] Exemplarily, the electronic device may use optical character recognition (OCR) technology to recognize the first interface to obtain the text of the first interface.

[0073] Optionally, in an embodiment of the present application, after identifying the interface content of the first interface, the electronic device can use a pre-trained classification model or preset keywords to extract information sending demand information related to information sending from the interface content of the first interface, and extract contact information from the interface content of the first interface.

[0074] Optionally, in an embodiment of the present application, the pre-trained classification model can be pre-trained based on a large amount of text data and user operation habit data, and can be used to distinguish between information sending demand information related to information sending and information unrelated to information sending in the first interface. Exemplarily, the pre-trained classification model can be the above-mentioned AI model.

[0075] Optionally, in the embodiment of the present application, the above-mentioned preset keywords may be keywords related to information sending, which can be understood as some words that are usually used when it is necessary to send information. For example, the preset keywords may include send, notify, invite, mailbox, phone, text message, email, inform, "@" symbol, contact information, etc.

[0076] Optionally, in the embodiment of the present application, the information transmission requirement information may include requirement description information, or requirement description information and a supplementary object. The supplementary object may include at least one of text, picture, and file.

[0077] It should be noted that the above-mentioned supplementary objects can be extracted from the interface content of the first interface, or can be content input by the user, and this embodiment of the present application does not limit this.

[0078] Exemplarily, when the interface content of the first interface includes text, the above-mentioned information sending requirement information may include requirement description information, and the requirement description information may be text.

[0079] Exemplarily, when the interface content of the first interface includes text and pictures, the above-mentioned information sending requirement information may include requirement description information and supplementary objects. The requirement description information may be text, and the supplementary object may include pictures, or pictures and text.

[0080] Exemplarily, when the interface content of the first interface includes text and documents, the above-mentioned information sending requirement information may include requirement description information and supplementary objects. The requirement description information may be text, and the supplementary object may include a file, or a file and text.

[0081] Exemplarily, when the interface content of the first interface includes text, pictures and documents, the above-mentioned information sending requirement information may include requirement description information and supplementary objects. The requirement description information may be text, and the supplementary objects may include pictures and files, or pictures, files and text.

[0082] Exemplarily, taking the case where the interface content of the first interface includes text indicating sending an email, the electronic device can extract the suspected email address containing the "@" symbol, text with subject features (such as starting with keywords such as "about" and "notification"), and long text with content from the interface content of the first interface according to preset rules to obtain information on the need to send information.

[0083] Exemplarily, taking the case where the interface content of the first interface includes text and a picture, and the text indicates sending an email, and the picture is related to the subject of the email, the electronic device can determine, based on a pre-trained classification model, that the text is demand description information and the picture is a supplementary object.

[0084] Furthermore, after the electronic device extracts the information sending requirement information related to information sending from the interface content of the first interface, the information sending requirement information can be temporarily stored locally.

[0085] Exemplarily, when the information required for sending includes pictures and files, the electronic device can mark and temporarily store the pictures and files.

[0086] Optionally, in an embodiment of the present application, the electronic device may extract contact information from the interface content of the first interface according to a contact information extraction rule.

[0087] Exemplarily, the contact information extraction rule may be to determine the content before and after characters such as ".com", "@", "to...", "send to...", "notify...", "contact information is...", "notify..." as contact information.

[0088] For example, taking email sending as an example, the above contact information extraction rules may be common email format rules. The electronic device may verify the interface content of the first interface according to the common email format rules, and extract the accurate recipient email address to obtain the contact information.

[0089] It should be noted that the above contact information can be one or more, and this embodiment of the present application does not limit this.

[0090] Furthermore, in the case where there are multiple pieces of contact information, the multiple pieces of contact information may be recorded in a table, and the electronic device may extract the multiple pieces of contact information from the table.

[0091] In this way, after receiving the user's first input, the electronic device can automatically extract the information sending request information and contact information from the first interface based on the first input, without the user having to manually input the information sending request information. This is more efficient, and the information extracted by the electronic device is more accurate, thereby improving the accuracy of information sending.

[0092] Step 102: The electronic device displays an AI processing result on an AI interaction interface in response to the first input.

[0093] In the embodiment of the present application, the above-mentioned AI processing result may be the result of processing the information sending requirement information through the AI ​​model.

[0094] Optionally, in an embodiment of the present application, the above-mentioned AI processing result may include the main text of the message, or the main text of the message and attachments.

[0095] In an example of the present application, the above-mentioned information sending requirement information may include requirement description information. The specific implementation of the above-mentioned step 102 may include: the electronic device responds to the first input, determines the information sending application according to the requirement description information through a natural language processing algorithm or an AI model, generates a message body according to the requirement description information, and displays the message body in the AI ​​interactive interface using the information format of the information sending application.

[0096] Optionally, in an embodiment of the present application, the electronic device may perform content analysis on the demand description information to obtain the information body. Exemplarily, the content analysis may include at least one of semantic analysis, semantic clustering, context understanding, semantic dependency analysis, grammatical structure analysis, semantic relevance analysis, key information extraction, etc.

[0097] Optionally, in an embodiment of the present application, taking the above-mentioned demand description information as text as an example, the electronic device can analyze the grammatical structure and semantic relationship of the text through a natural language processing algorithm or an AI model, and use key information extraction and semantic clustering and other techniques to extract the core subject content, and determine the specific content points by understanding the contextual relationship of the text content and the semantic dependency relationship between the text content. Then, the electronic device can generate the main text of the information based on the core subject content and the specific content points.

[0098] For example, taking sending emails as an example, electronic devices can analyze the grammatical structure, semantic relations, etc. of texts through natural language processing algorithms and AI models. For the subject information in the text, electronic devices can use key information extraction, semantic clustering and other technologies to extract the core subject content; for the email content demand information in the text, electronic devices determine the specific content points of the email by understanding the context, semantic dependencies, etc., and then generate the email body (i.e. the above-mentioned information body) based on the core subject content and specific content points.

[0099] Optionally, in an embodiment of the present application, taking the above-mentioned demand description information as the text of the first interface as an example, the electronic device can identify through an AI model whether the demand description information includes preset keywords corresponding to a preset application. If so, the preset application corresponding to the preset keyword is determined as the above-mentioned information sending application, and the information text is displayed on the AI ​​interaction interface according to the information format of the information sending application.

[0100] Exemplarily, the electronic device may pre-store a correspondence between preset applications and preset keywords. For example, the preset keywords corresponding to the mailbox application may include "mailbox", "mail", "email", etc. The preset keywords corresponding to the instant messaging application may include the name of the instant messaging software.

[0101] Exemplarily, assuming that the AI ​​model recognizes that the requirement description information includes the preset keyword "email", and the preset application corresponding to the preset keyword is the email application, the email application can be determined as the above-mentioned information sending application, and the email text (i.e. the above-mentioned information text) can be displayed in the AI ​​interaction interface according to the email format.

[0102] In another example of the present application, the information sending requirement information may include requirement description information and supplementary objects, the supplementary objects may include at least one of text, pictures, and files, and the AI ​​processing result may include the information body and attachments. The above step 102 may be implemented by the following steps 1021 and 1022.

[0103] Step 1021. The electronic device responds to the first input by determining an information sending application based on at least one of the requirement description information and the supplementary object through an AI model, determining the message body based on the requirement description information and the supplementary object through an AI model, and determining an attachment based on the supplementary object through an AI model.

[0104] Optionally, in an embodiment of the present application, taking the above-mentioned demand description information as the text of the first interface, and the above-mentioned supplementary objects including files and pictures as an example, the electronic device can identify through an AI model whether the demand description information, the file or the picture includes preset keywords corresponding to the preset application, and if so, the preset application corresponding to the preset keyword is determined as the above-mentioned information sending application.

[0105] For example, taking the scenario where a user needs to send an email as an example, assuming that the AI ​​model recognizes that the demand description information and the file both include the preset keyword "mailbox", and the preset application corresponding to the preset keyword is the mail application, then the mail application can be determined as the above-mentioned information sending application.

[0106] Optionally, in an embodiment of the present application, taking the above-mentioned demand description information as the text of the first interface and the above-mentioned supplementary object including a picture as an example, the electronic device can identify through an AI model whether the demand description information or the picture includes preset keywords corresponding to a preset application, and if so, the preset application corresponding to the preset keyword is determined as the above-mentioned information sending application.

[0107] For example, taking the scenario where a user needs to send an instant messaging message as an example, assuming that the AI ​​model recognizes that the demand description information includes the preset keyword "instant messaging message", and the preset application corresponding to the preset keyword is the SMS application, then the SMS application can be determined as the above-mentioned information sending application.

[0108] Optionally, in an embodiment of the present application, the above-mentioned information body may be an email body, and the above-mentioned attachment may be an email attachment.

[0109] Optionally, in an embodiment of the present application, the above-mentioned information body may be a message body, and the above-mentioned attachment may be a message sending file.

[0110] Optionally, in an embodiment of the present application, taking the above-mentioned demand description information including text, and the above-mentioned supplementary objects including pictures and files as an example, for text, the electronic device can analyze the grammatical structure and semantic relationship of the text through a natural language processing algorithm and a deep learning model, and understand the contextual connection of the text content and the semantic dependency between the text content, determine the specific content points, and extract the core theme content using key information extraction and semantic clustering techniques. For pictures, the electronic device can extract the picture content, analyze the correlation between the picture content and the text content, and extract key information from the picture content. For files, the electronic device can identify the file content and extract key information from the file content through semantic analysis. Then, the electronic device performs semantic association analysis on the specific content points, the core theme content, the key information extracted from the picture content, and the key information extracted from the file content to obtain the body of the information. In addition, the electronic device determines the picture and the file as attachments, or inserts the picture into the body of the information and uses the file as an attachment.

[0111] Exemplarily, in the scenario where the user needs to send an email, taking the above-mentioned demand description information including text content, and the above-mentioned supplementary objects including pictures and files as an example, for text, the electronic device performs semantic recognition on the text, and combines the semantic analysis model of deep learning to accurately extract the email subject and the specific content of the email. For pictures, the electronic device can use image recognition technology to identify the content of the picture, such as text, iconic elements, etc. in the picture, and analyze the correlation between the picture content and the text content through the image semantic understanding algorithm to determine the key information in the picture content. For documents, the electronic device can use a document parsing tool to parse the file, obtain the file content, and perform semantic analysis on the file content to extract key information such as key ideas and data. Then, the electronic device integrates and reorganizes the key information in the file content and integrates it into the specific content of the email, and refines the key information in the picture content and combines it with the specific content of the email to obtain the body of the email (i.e., the body of the above-mentioned information), and inserts the picture into the body of the email, and determines the file as an attachment to the email (i.e., the above-mentioned attachment).

[0112] Optionally, in an embodiment of the present application, taking the case where the above-mentioned demand description information includes text and the above-mentioned supplementary object includes a picture as an example, for text, the electronic device can analyze the grammatical structure and semantic relationship of the text through a natural language processing algorithm and a deep learning model, and understand the contextual connection of the text content and the semantic dependency relationship between the text content, determine the specific content points, and extract the core subject content using key information extraction and semantic clustering techniques. For pictures, the electronic device can extract the picture content, analyze the correlation between the picture content and the text content, and extract key information from the picture content. Then, the electronic device performs semantic association analysis on the specific content points, the core subject content, and the key information extracted from the picture content to obtain the main text of the information, and determines the picture as an attachment.

[0113] Exemplarily, in a scenario where a user needs to send an instant messaging message, taking the above-mentioned demand description information including text and the above-mentioned supplementary object including a picture as an example, for the text, the electronic device performs semantic recognition on the text, and combines the semantic analysis model of deep learning to accurately extract the specific content of the message. For the picture, the electronic device analyzes the correlation between the picture content and the text content through the image semantic understanding algorithm to determine the key information in the picture content. Then, the electronic device refines the key information in the picture content and combines it with the specific content of the message to obtain the message body (i.e., the above-mentioned message body), and determines the picture as the message sending file (i.e., the above-mentioned attachment).

[0114] Optionally, in the embodiment of the present application, when the supplementary objects include pictures and files, the electronic device can optimize and compress the format of the pictures, and perform format conversion and security detection on the files to ensure that the pictures and files can be added as attachments to the information. In addition, when temporarily storing pictures and files, the electronic device can establish an association index between pictures, files and information, and when it is necessary to display the AI ​​processing results, obtain the pictures and files according to the association index and use the pictures and files as attachments.

[0115] Optionally, in the embodiment of the present application, when there are multiple contact information, the electronic device can generate a corresponding message body for each contact corresponding to each contact information based on each contact information. Each message body may include the name of the contact corresponding to the contact information, a specific invitation code or a specific invitation link for the contact, etc.

[0116] For example, taking sending an invitation email as an example, if you need to send emails to three contacts A, B, and C respectively, the AI ​​assistant of the electronic device can generate a corresponding message body A for contact A, and the message body A includes the name of contact A and the specific invitation code A or specific invitation link A generated for contact A. Similarly, the AI ​​assistant of the electronic device can generate a corresponding message body B for contact B, and the message body B includes the name of contact B and the specific invitation code B or specific invitation link B generated for contact B. The AI ​​assistant of the electronic device can generate a corresponding message body C for contact C, and the message body C includes the name of contact C and the specific invitation code C or specific invitation link C generated for contact C.

[0117] Optionally, in an embodiment of the present application, in the above step 1021, "determining the information body according to the required description information and supplementary objects through the AI ​​model" can be specifically implemented through the following step 10211.

[0118] Step 10211: The electronic device determines the body of the information according to the first text template and the first language style through the AI ​​model based on the required description information and the supplementary objects.

[0119] Optionally, in an embodiment of the present application, the first text template may be one of a plurality of text templates, and the plurality of text templates may be a plurality of email templates or a plurality of communication message templates.

[0120] Exemplarily, the email template may include email specifications and email etiquette, etc. The communication message template may include communication message specifications and terms, etc.

[0121] Optionally, in the embodiment of the present application, in the scenario of sending an email, the first text template may be one of multiple email templates, and the multiple email templates may include templates for application emails, templates for notification emails, templates for invitation emails, templates for thank-you emails, templates for onboarding emails, templates for resignation emails, templates for notification and criticism emails, etc. Alternatively, the first text template may be an email specification and email etiquette, and is a common email template for various types of emails.

[0122] Optionally, in the embodiment of the present application, in the scenario of sending a communication message, the first text template may be one of a plurality of communication message templates, and the plurality of communication message templates may include templates for instant messaging messages, templates for short messages, templates for multimedia messages, etc. Alternatively, the first text template may be a communication message specification and terminology, and is a communication message template that is universal for various types of communication messages.

[0123] Optionally, in the embodiment of the present application, the first language style may be one of a plurality of language styles, which may include business, daily, humorous, serious, formal, etc., and each language style may have a corresponding language format and common words, etc.

[0124] For example, taking sending emails as an example, the AI ​​assistant of the electronic device can generate the email body (i.e. the above-mentioned information body) according to the email specifications and email etiquette included in the first email template, as well as the first language style, based on the required description information and supplementary objects, and in the process of generating the email body, continuously perform grammar and semantics checks and optimizations to ensure the accuracy and fluency of the email body.

[0125] It should be noted that, when the information sending requirement information includes requirement description information, and the requirement description information includes text, the electronic device can generate the message body according to the requirement description information through the AI ​​model according to the first text template and the first language style.

[0126] Furthermore, taking the scenario of sending emails as an example, the electronic device can also generate an email subject based on the information sending requirement information and display the email subject in the AI ​​interaction interface.

[0127] For example, Figure 5 As shown, Figure 5 a in the above is the message received by the user in the instant messaging application. Figure 5 The b in this column is the email body and email subject generated by the AI ​​assistant of the electronic device.

[0128] Step 1022: The electronic device displays the message body and attachments in the AI ​​interactive interface using the message format of the message sending application.

[0129] Optionally, in an embodiment of the present application, the above information format may be in an email format.

[0130] Optionally, in an embodiment of the present application, the above information format may be a communication message format.

[0131] Exemplarily, the information in the communication message format may include an instant messaging message or a text message.

[0132] Optionally, in an embodiment of the present application, taking the above-mentioned information format as an email format as an example, the electronic device can display the email body (i.e. the above-mentioned information body) and the email attachment (i.e. the above-mentioned attachment) in the AI ​​interactive interface according to the email format.

[0133] Optionally, in an embodiment of the present application, taking the above-mentioned information format as a communication message format as an example, the electronic device can display the message body (i.e. the above-mentioned information body) and the message sending file (i.e. the above-mentioned attachment) on the AI ​​interaction interface according to the communication message format.

[0134] In this way, the electronic device responds to the first input, determines the information sending application according to the information sending demand information, generates the message text, and displays the message text on the AI ​​interaction interface according to the information format of the information sending application. This can improve the accuracy of the determined message text, and does not require the user to extract key content from the interface, nor does it require the user to carefully choose words to write the message text, thereby reducing user operations and improving the efficiency of information generation and sending.

[0135] Step 103: The electronic device receives a second input to the AI ​​interaction interface.

[0136] Optionally, in an embodiment of the present application, the second input may be used to indicate that the AI ​​processing result displayed on the AI ​​interaction interface is correct and meets user requirements.

[0137] Optionally, in the embodiment of the present application, the second input may be any form of input to the AI ​​interactive interface by the user through the touch area of ​​the electronic device. For example, the touch area may be the screen of the electronic device.

[0138] Optionally, in the embodiment of the present application, the second input includes but is not limited to: the user touches the AI ​​interactive interface through the touch area of ​​the electronic device using a touch device such as a finger or a stylus, or a specific gesture inputted by the user to the AI ​​interactive interface through the touch area of ​​the electronic device, or other feasible inputs of the user to the AI ​​interactive interface through the touch area of ​​the electronic device. The specific input can be determined according to actual use requirements, and the embodiment of the present application does not limit it.

[0139] Exemplarily, the touch input may be a single-click input, a double-click input, or any number of click inputs, or may be a long-press input, a short-press input, a sliding input, a dragging input, or the like.

[0140] Exemplarily, the above-mentioned specific gesture can be any one of a single-click gesture, a sliding gesture, a drag gesture, a pressure recognition gesture, a long press gesture, an area change gesture, a double-press gesture, and a double-click gesture.

[0141] Optionally, in an embodiment of the present application, when the AI ​​interaction interface displays the AI ​​processing result, the AI ​​interaction interface may also display a confirmation control. If the user determines that the AI ​​processing result displayed by the electronic device is correct, the user may touch the confirmation control of the AI ​​interaction interface, that is, the second input may be the user's input to the confirmation control of the AI ​​interaction interface.

[0142] Step 104: The electronic device sends the AI ​​processing result to the contact corresponding to the contact information in response to the second input.

[0143] Optionally, in the embodiment of the present application, the above step 104 can be specifically implemented by the following step 1041.

[0144] Step 1041: In response to the second input, the electronic device sends the AI ​​processing result to the contact corresponding to the contact information through the information sending application.

[0145] Optionally, in an embodiment of the present application, the above-mentioned information sending application may be an application corresponding to the first interface, or may be another application that can realize information sending except the application corresponding to the first interface.

[0146] Exemplarily, taking the case where the AI ​​processing result includes an email body and an email attachment, upon receiving a second input to a confirmation control of the AI ​​interaction interface, the electronic device may call an email application to send the email body and the email attachment to the contact corresponding to the contact information.

[0147] For example, taking the AI ​​processing result including the email body as an example, the AI ​​interaction interface of the electronic device displays the email body and confirmation controls, such as Figure 6 After the user checks the email body and confirms that the email body is correct, he can click the confirmation control ("Confirm, send email" control), and then the AI ​​assistant of the electronic device calls the email application and sends the email body in the email application, as shown in FIG. Figure 6 As shown in b.

[0148] For example, taking the AI ​​processing result including the email body, pictures and documents as an example, the AI ​​interaction interface of the electronic device displays the email body, pictures, documents and confirmation controls, such as Figure 7 After checking the email body and confirming that the email body is correct, the user can click the confirmation control ("Confirm, send email" control), and then the AI ​​assistant of the electronic device calls the email application and sends the email message in the email application. The email message includes the email body and the document with the inserted picture, as shown in FIG. Figure 7 As shown in b.

[0149] In this way, users can check whether the AI ​​processing results displayed on the AI ​​interaction interface are correct, and after confirming that the AI ​​processing results are correct, send the AI ​​processing results to the contacts corresponding to the contact information, thereby ensuring the accuracy of the sent AI processing results.

[0150] Optionally, in an embodiment of the present application, when the electronic device includes multiple information sending applications, in response to the second input, the electronic device may display selection information, and the selection information is used to prompt the user to select a first application. The electronic device sends the AI ​​processing result to the contact corresponding to the contact information through the first application selected by the user based on the user's selection input of the first prompt information.

[0151] For example, taking the email sending scenario as an example, the electronic device displays selection information in response to the second input. The selection information may include three options, namely email application a, email application b and email application c. After the user selects email application a, the electronic device can call email application a to send an email to the contact corresponding to the contact information. The email may include the email body and email attachments.

[0152] Optionally, in an embodiment of the present application, the above step 1041 can be specifically implemented by the following step 10411.

[0153] Step 10411: In response to the second input, the electronic device uses an encryption processing strategy to process the message body and attachments when the message body includes private information, and sends the processed message body and attachments to the contact corresponding to the contact information.

[0154] In the embodiment of the present application, the above-mentioned encryption processing strategy may include at least one of the following: setting access permission strategy, setting operation permission strategy, and encryption strategy.

[0155] Optionally, in an embodiment of the present application, the electronic device can identify whether the message body includes privacy information after generating the message body. If so, when sending the AI ​​processing results through the message sending application, the electronic device can encrypt the message body and attachments, including setting access permissions, or setting operation permissions, or encrypting the message body and attachments, and then send the encrypted message body and attachments to the contact corresponding to the contact information to ensure the security of the information.

[0156] In this way, the security of information transmission can be improved.

[0157] Optionally, in an embodiment of the present application, the above step 10411 can be specifically implemented by following steps 104111 and 104112.

[0158] Step 104111: In response to the second input, the electronic device displays a prompt message when the body of the message includes private information.

[0159] In an embodiment of the present application, the above prompt information can be used to prompt the user whether to process the message body and attachments.

[0160] Optionally, in an embodiment of the present application, the electronic device can identify whether the message body includes privacy information after generating the message body, and if so, display a prompt message to prompt the user whether to encrypt the AI ​​processing results before sending them.

[0161] Step 104112: When receiving the confirmation input for the prompt information, the electronic device uses an encryption processing strategy to process the message body and attachments, and sends the processed message body and attachments to the contact corresponding to the contact information.

[0162] Optionally, in an embodiment of the present application, if the user confirms that the message body and attachments need to be processed, the user can touch the confirmation control in the prompt message, and the electronic device can encrypt the message body and attachments before sending the message body and attachments through the message sending application, including setting access permissions, or setting operation permissions, or encrypting the message body and attachments, and then sending the encrypted message body and attachments to the contact corresponding to the contact information.

[0163] In this way, encrypting the message body and attachments with the user's consent can not only improve the security of information transmission, but also combine the user's needs and improve user participation.

[0164] Optionally, in the embodiment of the present application, after the above step 103, the information sending method provided in the embodiment of the present application may further include the following steps 105 and 106.

[0165] Step 105: The electronic device receives a third input to the AI ​​interaction interface.

[0166] Step 106: The electronic device edits the AI ​​processing result in response to the third input.

[0167] Optionally, in the embodiment of the present application, the third input may be any form of input by the user to the editing control of the AI ​​interactive interface through the touch area of ​​the electronic device. For example, the touch area may be the screen of the electronic device.

[0168] Exemplarily, the second input may be a single-click input, a double-click input, or any number of click inputs, or may be a long-press input, a short-press input, a sliding input, a dragging input, or the like.

[0169] Optionally, in an embodiment of the present application, when the AI ​​interaction interface displays the AI ​​processing result, the AI ​​interaction interface may also display an editing control. If the user is not satisfied with the AI ​​processing result, the user may perform touch input on the editing control (i.e., the second input mentioned above) to edit the AI ​​processing result, until the user confirms that the AI ​​processing result is correct and performs confirmation input on the confirmation control of the AI ​​interaction interface (i.e., the confirmation input mentioned above), and then performs the subsequent operation of sending the AI ​​processing result to the contact corresponding to the contact information.

[0170] The editing control may include at least one of a rewrite control, a text input box, and a voice input control.

[0171] Exemplarily, when the AI ​​assistant of the electronic device receives the user's touch operation on the rewrite control (i.e., the second input mentioned above), it regenerates the AI ​​processing result according to the information sending requirement information. Alternatively, when the AI ​​assistant of the electronic device receives the text entered by the user in the text input box, it modifies the AI ​​processing result according to the text. Alternatively, when the AI ​​assistant of the electronic device receives the voice entered by the user in the voice input control, the electronic device converts the voice into text and modifies the AI ​​processing result according to the text.

[0172] For example, Figure 6 As shown in a, the first interface of the electronic device displays the email body, confirmation control rewrite control, text input box and voice input control. When the user views the email body and determines that the email body needs to be modified, the user can click the rewrite control so that the AI ​​assistant can regenerate the email body.

[0173] In this way, after the electronic device generates AI processing results, the user can edit the AI ​​processing results to improve the accuracy of the AI ​​processing results and the adaptability of the AI ​​processing results to user needs, thereby improving the accuracy of the information sent and making the information sent better meet user needs.

[0174] The information sending method provided in the embodiment of the present application utilizes the intelligent functions of the AI ​​assistant, and realizes the rapid and accurate extraction of information through AI screen recognition, semantic recognition and other technical means, thereby reducing the time cost of users manually inputting and sorting information, thereby greatly improving the overall efficiency of information writing and sending. In addition, it meets the efficient needs of people for instant messaging and task processing in modern fast-paced work and life, especially when processing a large number of emails or urgent information, and can respond quickly and complete the operation. Let users be freed from the complex information generation operation, and only need to confirm to complete the information sending process. The AI ​​assistant automatically completes a series of actions from information acquisition to information sending, making the information processing process smoother and more convenient, and enhancing the user's satisfaction and dependence on smart devices and related applications. In addition, this solution can realize intelligent information capture, accurate semantic recognition and classification, and automated full-process operation. Specifically, this solution breaks through the limitations of traditional AI assistants passively receiving instructions and information, and uses advanced algorithms and technologies to realize active capture of screen information. With the help of AI screen recognition text technology, it is possible to accurately identify email-related information in various formats, fonts and layouts on the screen, including but not limited to key information in content such as event invitations and business needs, and provide an accurate data source for email writing. Moreover, through email semantic recognition technology, not only can email addresses be accurately identified, but also email subjects and email content requirements can be intelligently distinguished. The seemingly disorganized screen text can be effectively classified and understood, and the core content of the subject can be accurately extracted. At the same time, email errors caused by information confusion can be avoided, and the accuracy and professionalism of emails can be improved. In addition, this solution fully automates the process from information acquisition, email writing, user confirmation to automatically opening the email APP and completing email sending. After the AI ​​assistant completes the email writing, there is no need for the user to manually copy and paste the information. It can be automatically filled into the corresponding position of the email APP and sent, which greatly simplifies the operation steps and reduces the errors and delays that may be caused by manual intervention.

[0175] Figure 8 This is a flow chart of the information sending method provided in an embodiment of the present application. Taking sending an email as an example, the method may include the following steps 81 to 87.

[0176] Step 81: The electronic device displays a page of an instant messaging application and receives a fourth input from a user on the page of the instant messaging application.

[0177] Step 82: In response to the fourth input, the electronic device wakes up the AI ​​assistant, displays the AI ​​interaction interface, and receives a first input to the AI ​​interaction interface, where the first input is used to instruct the AI ​​assistant to send an email.

[0178] Step 83: The electronic device uses the AI ​​assistant to capture and filter information on the page of the instant messaging application to obtain contact information and information on information sending requirements.

[0179] Example 1: When the AI ​​assistant is awakened and receives email-related instructions, the screen recognition function is started. The screen is fully scanned using OCR technology to identify all text information on the screen. At the same time, a pre-trained classification model is used. The model is trained based on a large amount of text data and user operation habit data, and can distinguish between information related to and unrelated to emails. For information related to emails, such as suspected email addresses containing the "@" symbol, long texts with subject features (such as "about", "notification" and other keywords), and content are extracted and temporarily stored to obtain contact information and information on information sending needs.

[0180] Example 2: When the AI ​​assistant receives an email processing instruction, it first performs a comprehensive scan of the screen information. In addition to recognizing text data, it uses image recognition technology to detect image content features, such as text and iconic elements in the image. For documents, it uses document parsing tools to extract text information and perform preliminary classification. It uses intelligent algorithms to exclude data that is not related to email needs, screen out text, images, and document information that may be related to emails, that is, information sending requirements, and mark and temporarily store images and documents.

[0181] Step 84: The electronic device generates the email body through the AI ​​assistant according to the information sending requirement information.

[0182] Example 1: The AI ​​assistant of the electronic device performs semantic analysis on the extracted information related to the suspected email, and analyzes the grammatical structure, semantic relationship, etc. of the text through natural language processing algorithms and deep learning models. For the email address part, it verifies and extracts the accurate recipient email address according to common email format rules; for the subject part, it uses keyword extraction, semantic clustering and other technologies to extract the core subject content; for the email content requirements, it determines the specific content points by understanding the context, semantic dependencies, etc., and obtains the email body.

[0183] Example 2: Perform semantic recognition on the extracted text information, and combine it with the semantic analysis model of deep learning to accurately find the email address, subject, and content requirement information. For image content, use OCR to identify the text information in the image, and combine it with the image semantic understanding algorithm to analyze the relevance of the image subject. Perform semantic analysis on the document content to extract key ideas, data, and other information. Perform semantic association analysis on all information sources to determine the core content points. In addition, based on the results of semantic analysis, the AI ​​assistant combines the core information in the document and image with the email requirement content. Concisely describe the image information and reasonably integrate it into the body of the email to make the body content richer and more vivid. For document information, extract the key ideas and integrate and reorganize them, and integrate them into the email content in a clear and easy-to-understand way. Then generate the complete email content according to the email format specifications and language style to obtain the email body.

[0184] Step 85: The electronic device generates an email text based on the email body and the recipient's email address through the AI ​​assistant.

[0185] Example 1: The AI ​​assistant of the electronic device generates the email body according to the parsed subject and content requirements, based on the preset email template and language style model, and combines email standards and etiquette knowledge to organize the language, adjust the format, etc. to generate a complete email body. During the generation process, the grammar and semantics are constantly checked and optimized to ensure the accuracy and fluency of the email body.

[0186] Example 2: After the AI ​​assistant of the electronic device identifies the pictures and documents related to the email, it optimizes the format and compresses the pictures so that they can be smoothly added to the email body. The document is converted and security checked to ensure that it can be added as an email attachment. Then the picture is added to the email body and the document is attached to the email to generate the email text.

[0187] Step 86: The electronic device displays the email text through the AI ​​interactive interface of the AI ​​assistant.

[0188] Example 1: The electronic device displays the generated email text to the user, and the user can view, modify and confirm the text. In this way, a concise and clear interactive interface is provided, which facilitates the user to quickly browse the key information of the email and make necessary adjustments.

[0189] Example 2: The electronic device displays the generated email text to the user. The email text contains text, pictures and documents, and the user can view, edit and confirm them. In this way, an intuitive interactive interface is provided, allowing the user to clearly see the presentation effect of the picture in the text and the situation of the document as an attachment, which is convenient for the user to make modification suggestions.

[0190] Step 87: Upon receiving the user's confirmation input for the email text displayed on the AI ​​interactive interface, the electronic device starts the email application through the AI ​​assistant, and sends an email to the contact corresponding to the contact information through the email application.

[0191] Example 1: The AI ​​assistant of the electronic device automatically starts the email APP and interacts with the email APP through the Application Programming Interface (API). Create a new email and automatically fill the extracted recipient email address, generated email subject, and email body into the corresponding fields. Before sending, check the data integrity and accuracy again, and click the send button to complete the email sending after ensuring that there are no errors.

[0192] Example 2: The AI ​​assistant of the electronic device automatically starts the email app, creates a new email, and fills in the recipient address, subject, and body content. The processed image is inserted into the appropriate position in the body, and the document is added to the attachment list. After the final information is checked, the send button is automatically clicked to complete the email sending process.

[0193] The information sending method provided in the embodiment of the present application greatly shortens the time from conception to sending of emails. Users do not need to manually enter information, find email addresses, or think about email subjects, etc. AI assistants automatically complete these steps, saving a lot of time costs. Especially for users who need to frequently handle emails or handle urgent email matters, they can respond quickly and complete tasks, improving work and communication efficiency. In addition, through accurate semantic recognition and information screening, email information errors caused by manual input errors or misunderstandings are reduced. For example, accurate identification of email addresses to avoid sending to the wrong object, accurate extraction of topics and content points to make email content clearer and more accurate, and improve the quality and professionalism of emails. In addition, the operation process is simplified, and users only need to issue instructions and make final confirmations without too much involvement in complex intermediate links. The user's operating difficulty and fatigue are reduced, allowing users to handle email matters more easily. At the same time, the automated full-process service enhances the user's satisfaction and dependence on smart devices and AI assistant functions. In addition, as the number of uses increases, the AI ​​assistant can self-learn and optimize according to the user's confirmation modification, feedback information, and continuously accumulated email data. For example, we can understand users' habits and needs more accurately, adjust email templates and language styles, and further improve the accuracy of email processing and the degree to which it meets users' personalized needs.

[0194] It should be noted that the specific implementation process of the above steps 81 to 87 can refer to the relevant description of the above embodiment. To avoid repetition, this embodiment will not be repeated here.

[0195] Fig. 9This is a flow chart of the information sending method provided in an embodiment of the present application. Taking the user's need to send an instant messaging message as an example, the method may include the following steps 91 to 97.

[0196] Step 91: The electronic device displays a cloud note page and receives a fourth input from the user on the cloud note page.

[0197] Step 92: In response to the fourth input, the electronic device wakes up the AI ​​assistant, displays the AI ​​interaction interface, and receives a first input to the AI ​​interaction interface, where the first input is used to instruct the AI ​​assistant to send a group message.

[0198] Step 93: The electronic device uses the AI ​​assistant to capture and filter information on the cloud note page to obtain the page content of the cloud note page.

[0199] Step 94: The electronic device extracts information related to the group message from the page content of the cloud note page to obtain information on the need to send the message.

[0200] Step 95: The electronic device extracts contact information from the page content of the cloud note page, and generates a corresponding instant messaging message for each contact corresponding to the contact information.

[0201] Step 96: The electronic device displays the instant messaging message on the AI ​​interaction interface.

[0202] Step 97: Upon receiving a confirmation input from the user regarding the instant messaging message displayed on the AI ​​interaction interface, the electronic device calls the instant messaging application and sends a corresponding instant messaging message to each contact corresponding to the contact information.

[0203] The information sending method provided in the embodiment of the present application can handle email tasks containing multiple complex information sources and adapt to a wider range of work and life scenarios. Whether it is a product promotion email containing picture descriptions, a business cooperation email with attached document materials, etc., it can be easily dealt with, which greatly expands the application scope of AI assistants and meets the diverse needs of users. In addition, multi-source information is effectively integrated to make the email content more comprehensive, rich and in-depth. By integrating the key information in the pictures and documents, more complete and accurate content is provided to the email recipient, which helps to improve communication efficiency and effectiveness and enhance the practicality and value of emails. In addition, users do not need to process pictures and documents separately, and the AI ​​assistant automatically completes the full process of information extraction, integration, and email construction and sending. It reduces the cumbersome steps for users to switch between different applications and operations, and further improves the convenience and fluency of email processing. In addition, the relevant pictures and documents are accurately identified and processed, avoiding problems such as omissions or incorrect attachments that may occur manually. At the same time, fast information integration and automated processes shorten the email processing time, allowing users to complete work tasks more efficiently and improve overall work efficiency. In addition, based on the user's confirmation and feedback on the multi-source information integration email, the AI ​​assistant can continue to learn user preferences and needs, and continuously optimize information extraction and integration strategies, providing users with email processing services that are more in line with their personalized needs, and improving user experience and satisfaction.

[0204] It should be noted that the specific implementation process of the above steps 91 to 97 can refer to the relevant description of the above embodiment. To avoid repetition, this embodiment will not be repeated here.

[0205] Next, the information sending method provided in the embodiment of the present application is described in combination with a specific application scenario.

[0206] Scenario 1: Bulk email processing scenario

[0207] a. Event invitations and notifications: When a company or organization holds a large-scale event, it needs to send invitation emails or event-related notifications to many participants. The AI ​​assistant of the electronic device can identify the document or page content containing the list of participants (such as displayed on the screen in the form of an Excel table) and basic information about the event. According to the preset email template, personalized emails are automatically generated for each participant, such as mentioning the participant's name, event-specific invitation code and other information in the body of the email. At the same time, it can automatically identify and add event poster images to the body of the email, and event detailed information documents as attachments, complete the writing, editing and sending of batch emails at one time, greatly improving the efficiency of event organization.

[0208] b. Business data report sending: Corporate employees need to send business data report emails to leaders or team members regularly. The AI ​​assistant of the electronic device can identify and capture key data information from the interface of the data statistics software, and combine the pre-set data analysis viewpoints and report format templates to convert the data into easy-to-understand text descriptions and generate the email body. If there are relevant data charts, pictures and detailed data documents, they can also be automatically integrated into the email. Users only need to issue instructions and confirm the sending object to achieve efficient distribution of batch data report emails.

[0209] Scenario 2: Cross-platform email integration scenario

[0210] a. Convert social media information to emails: Users receive cooperation inquiries, consulting feedback and other information on social media platforms, and hope to organize these contents into emails and send them to relevant team members or partners for further processing. The AI ​​assistant of electronic devices can recognize information on social media pages, including text, pictures, links and other content. Automatically extract key information and organize it into a standardized email format, such as using the core issues in user comments as email subjects, relevant pictures as illustrations in the email body, and the materials pointed to by the links as attachments (if available). And it can intelligently recommend email recipients based on the user's frequently used contact list on social media, so as to achieve seamless integration and rapid delivery of information from social media to emails.

[0211] b. Convert cloud note content to email: Users record some ideas, project progress, etc. in the cloud note application, and need to share these contents with colleagues or customers in the form of email. The AI ​​assistant of the electronic device can interact with the cloud note application to read the text, pictures, attachments and other information in the notes. Adjust the format and optimize the content according to the email specifications. For example, use the title in the note as the email subject, reformat the body content and polish it appropriately, and automatically add the pictures and attachments in the note to the email. Users can complete the conversion and sending process from cloud notes to emails with simple instructions.

[0212] Scenario 2: Email security and encryption assistance scenario

[0213] a. Processing of sensitive information emails: In email sending scenarios involving sensitive information such as commercial secrets and personal privacy, the AI ​​assistant of the electronic device can not only complete the regular email writing and sending functions, but also add security assistance functions. For example, it can automatically identify sensitive information keywords in the body of the email and remind the user to encrypt it. It can be integrated with the encryption function of encryption software or email system, automatically encrypt the email content and attachments according to user instructions, and add encryption prompt marks in the subject or body of the email to ensure the security of the email during transmission and prevent information leakage.

[0214] b. Email permission management assistance: For some emails that need to be viewed or processed by specific personnel, the AI ​​assistant of the electronic device can help users set email reading permissions and operation permissions. For example, it can identify the importance of the email content and the scope of personnel involved, and limit the forwarding, downloading and other operation permissions of the email according to preset rules or user instructions. At the same time, after sending important emails, it automatically tracks the reading status of the email, such as the management and statistics of read receipts, and provides users with feedback information on the email processing status, so that users can grasp the email dynamics in a timely manner and perform subsequent operations.

[0215] It should be noted that the above-mentioned method embodiments, or various possible implementation methods in each method embodiment, can be executed separately, or any two or more can be executed in combination with each other. The specific implementation method can be determined according to actual usage requirements, and the embodiments of the present application do not impose any restrictions on this.

[0216] The information sending method provided in the embodiment of the present application can be executed by an information sending device. In the embodiment of the present application, the information sending device provided in the embodiment of the present application is described by taking the information sending method executed by the information sending device as an example.

[0217] Fig.10 It is a structural diagram of an information sending device provided in an embodiment of the present application, and the information sending device includes: a receiving module 11, a display module 12 and a sending module 13.

[0218] The receiving module 11 is used to receive a first input to the AI ​​interactive interface; the first input corresponds to information sending instruction information, and the information sending instruction information includes contact information and information sending requirement information;

[0219] The display module 12 is used to display the AI ​​processing result on the AI ​​interaction interface in response to the first input received by the receiving module 11; the AI ​​processing result is the processing result of the information sending requirement information by the AI ​​model;

[0220] The receiving module 11 is further used to receive a second input to the AI ​​interaction interface;

[0221] The sending module 13 is used to send the AI ​​processing result to the contact corresponding to the contact information in response to the second input received by the receiving module 11.

[0222] Optionally, in an embodiment of the present application, the above-mentioned information sending requirement information includes requirement description information, or requirement description information and a supplementary object, and the supplementary object includes at least one of text, picture, and file.

[0223] Optionally, in an embodiment of the present application, the above-mentioned information sending requirement information includes requirement description information and supplementary objects, and the supplementary objects include at least one of text, pictures, and files; the AI ​​processing result includes the information text and attachments.

[0224] The device also includes a processing module. The processing module is specifically used to respond to the first input, determine the information sending application according to at least one of the demand description information and the supplementary object through the AI ​​model, determine the message body according to the demand description information and the supplementary object through the AI ​​model, and determine the attachment according to the supplementary object through the AI ​​model. The display module 12 is specifically used to display the message body and attachments in the AI ​​interactive interface using the information format of the information sending application.

[0225] Optionally, in an embodiment of the present application, the sending module 13 is specifically configured to send the AI ​​processing result to the contact corresponding to the contact information through an information sending application in response to the second input.

[0226] Optionally, in the embodiment of the present application, the device further comprises a processing module. The receiving module 11 is further configured to receive a third input to the AI ​​interaction interface. The processing module is specifically configured to perform an editing operation on the AI ​​processing result in response to the third input.

[0227] Optionally, in an embodiment of the present application, the processing module is specifically used to determine the information body according to the first text template and the first language style through the AI ​​model based on the required description information and supplementary objects.

[0228] Optionally, in the embodiment of the present application, the processing module is further used to respond to the second input, and when the message body includes private information, use an encryption processing strategy to process the message body and attachments; the sending module 13 is also used to send the processed message body and attachments to the contact corresponding to the contact information. The encryption processing strategy includes at least one of the following: setting access permission strategy, setting operation permission strategy, and encryption strategy.

[0229] Optionally, in an embodiment of the present application, the display module 12 is further used to display a prompt message in response to the second input when the message body includes privacy information; the prompt message is used to prompt the user whether to process the message body and attachments.

[0230] The processing module is also used to process the message body and attachments using an encryption processing strategy when receiving a confirmation input for the prompt message.

[0231] The sending module 13 is also used to send the processed message text and attachments to the contact person corresponding to the contact information.

[0232] Optionally, in an embodiment of the present application, the above-mentioned information format is an email format, the above-mentioned information body is an email body, and the above-mentioned attachment is an email attachment.

[0233] Optionally, in an embodiment of the present application, the above-mentioned information format is a communication message format, the above-mentioned information body is a message body, and the above-mentioned attachment is a message sending file.

[0234] In the embodiment of the present application, the user only needs to input contact information and information on information sending requirements, and the electronic device can sort out the information content required by the user and send the information to the contact, thereby simplifying the operation process of information sending and improving the efficiency of information sending.

[0235] The information sending device in the embodiment of the present application can be an electronic device, or a component in the electronic device, such as an integrated circuit or a chip. The electronic device can be a terminal, or a device other than a terminal. For example, the electronic device can be a mobile phone, a tablet computer, a laptop computer, a PDA, a vehicle-mounted electronic device, a mobile Internet device, an augmented reality / virtual reality device, a robot, a wearable device, a super mobile personal computer, a netbook or a personal digital assistant, etc., and can also be a server, a network attached storage (Network Attached Storage, NAS), a personal computer (personal computer, PC), a television (television, TV), a teller machine or a self-service machine, etc., which is not specifically limited in the embodiment of the present application.

[0236] The information sending device in the embodiment of the present application may be a device having an operating system. The operating system may be an Android operating system, an iOS operating system, or other possible operating systems, which are not specifically limited in the embodiment of the present application.

[0237] The information sending device provided in the embodiments of the present application can implement the various processes implemented by the various embodiments of the above-mentioned information sending method. To avoid repetition, they will not be described here.

[0238] Alternatively, if Fig.11 As shown, an embodiment of the present application also provides an electronic device 900, including a processor 901 and a memory 902, wherein the memory 902 stores programs or instructions that can be executed on the processor 901, and when the program or instructions are executed by the processor 901, the various steps of the above-mentioned information sending method embodiment are implemented, and the same technical effect can be achieved. To avoid repetition, they are not repeated here.

[0239] It should be noted that the electronic devices in the embodiments of the present application include the mobile electronic devices and non-mobile electronic devices mentioned above.

[0240] Fig.12A schematic diagram of the hardware structure of an electronic device to implement an embodiment of the present application.

[0241] The electronic device 1000 includes but is not limited to: a radio frequency unit 1001, a network module 1002, an audio output unit 1003, an input unit 1004, a sensor 1005, a display unit 1006, a user input unit 1007, an interface unit 1008, a memory 1009, and a processor 1010 and other components.

[0242] Those skilled in the art will appreciate that the electronic device 1000 may also include a power source (such as a battery) for supplying power to each component, and the power source may be logically connected to the processor 1010 through a power management system, thereby implementing functions such as managing charging, discharging, and power consumption management through the power management system. Fig.12 The electronic device structure shown in the figure does not constitute a limitation on the electronic device. The electronic device may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently, which will not be described in detail here.

[0243] The user input unit 1007 is used to receive a first input to the AI ​​interactive interface; the first input corresponds to information sending instruction information, and the information sending instruction information includes contact information and information sending requirement information;

[0244] The display unit 1006 is used to display the AI ​​processing result on the AI ​​interaction interface in response to the first input received by the user input unit 1007; the AI ​​processing result is the processing result of the information sending requirement information by the AI ​​model;

[0245] The user input unit 1007 is used to receive a second input to the AI ​​interaction interface;

[0246] The radio frequency unit 1001 is used to send the AI ​​processing result to the contact corresponding to the contact information in response to the second input received by the user input unit 1007.

[0247] Optionally, in an embodiment of the present application, the above-mentioned information sending requirement information includes requirement description information, or requirement description information and a supplementary object, and the supplementary object includes at least one of text, picture, and file.

[0248] Optionally, in an embodiment of the present application, the above-mentioned information sending requirement information includes requirement description information and supplementary objects, and the supplementary objects include at least one of text, pictures, and files; the AI ​​processing result includes the information text and attachments.

[0249] The processor 1010 is used to respond to the first input, determine the information sending application according to at least one of the requirement description information and the supplementary object through the AI ​​model, determine the message body according to the requirement description information and the supplementary object through the AI ​​model, and determine the attachment according to the supplementary object through the AI ​​model. The display unit 1006 is used to display the message body and attachment in the AI ​​interactive interface using the information format of the information sending application.

[0250] Optionally, in an embodiment of the present application, the radio frequency unit 1001 is used to send the AI ​​processing result to the contact corresponding to the contact information through the information sending application in response to the second input.

[0251] Optionally, in the embodiment of the present application, the user input unit 1007 is used to receive a third input to the AI ​​interaction interface. The processor 1010 is used to edit the AI ​​processing result in response to the third input.

[0252] Optionally, in an embodiment of the present application, the processor 1010 is used to determine the information body according to the first text template and the first language style through the AI ​​model based on the required description information and the supplementary objects.

[0253] Optionally, in an embodiment of the present application, the processor 1010 is used to, in response to the second input, process the message body and attachments using an encryption processing strategy when the message body includes private information; the radio frequency unit 1001 is used to send the processed message body and attachments to the contact corresponding to the contact information. The encryption processing strategy includes at least one of the following: setting access permission strategy, setting operation permission strategy, and encryption strategy.

[0254] Optionally, in an embodiment of the present application, the display unit 1006 is used to display a prompt message in response to the second input when the message body includes privacy information; the prompt message is used to prompt the user whether to process the message body and attachments.

[0255] The processor 1010 is used to process the message body and attachments using an encryption processing strategy when receiving a confirmation input for the prompt message.

[0256] The radio frequency unit 1001 is used to send the processed message body and attachments to the contact corresponding to the contact information.

[0257] Optionally, in an embodiment of the present application, the above-mentioned information format is an email format, the above-mentioned information body is an email body, and the above-mentioned attachment is an email attachment.

[0258] Optionally, in an embodiment of the present application, the above-mentioned information format is a communication message format, the above-mentioned information body is a message body, and the above-mentioned attachment is a message sending file.

[0259] In the embodiment of the present application, the user only needs to input contact information and information on information sending requirements, and the electronic device can sort out the information content required by the user and send the information to the contact, thereby simplifying the operation process of information sending and improving the efficiency of information sending.

[0260] It should be understood that in the embodiment of the present application, the input unit 1004 may include a graphics processor (Graphics Processing Unit, GPU) 10041 and a microphone 10042, and the graphics processor 10041 processes the image data of the static picture or video obtained by the image capture device (such as a camera) in the video capture mode or the image capture mode. The display unit 1006 may include a display panel 10061, and the display panel 10061 may be configured in the form of a liquid crystal display, an organic light emitting diode, etc. The user input unit 1007 includes a touch panel 10071 and at least one of other input devices 10072. The touch panel 10071 is also called a touch screen. The touch panel 10071 may include two parts: a touch detection device and a touch controller. Other input devices 10072 may include, but are not limited to, a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a trackball, a mouse, and a joystick, which will not be repeated here.

[0261] The memory 1009 can be used to store software programs and various data. The memory 1009 may mainly include a first storage area for storing programs or instructions and a second storage area for storing data, wherein the first storage area may store an operating system, an application program or instructions required for at least one function (such as a sound playback function, an image playback function, etc.), etc. In addition, the memory 1009 may include a volatile memory or a non-volatile memory, or the memory 1009 may include both volatile and non-volatile memories. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory may be a random access memory (RAM), a static random access memory (SRAM), a dynamic random access memory (DRAM), a synchronous dynamic random access memory (SDRAM), a double data rate synchronous dynamic random access memory (DDRSDRAM), an enhanced synchronous dynamic random access memory (ESDRAM), a synchronous link dynamic random access memory (SLDRAM) and a direct memory bus random access memory (DRRAM). The memory 109 in the embodiment of the present application includes but is not limited to these and any other suitable types of memory.

[0262] The processor 1010 may include one or more processing units; optionally, the processor 1010 integrates an application processor and a modem processor, wherein the application processor mainly processes operations related to an operating system, a user interface, and application programs, and the modem processor mainly processes wireless communication signals, such as a baseband processor. It is understandable that the modem processor may not be integrated into the processor 1010.

[0263] An embodiment of the present application also provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the various processes of the above-mentioned information sending method embodiment are implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0264] The processor is the processor in the electronic device described in the above embodiment. The readable storage medium includes a computer readable storage medium, such as a computer read-only memory ROM, a random access memory RAM, a magnetic disk or an optical disk.

[0265] An embodiment of the present application further provides a chip, which includes a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the various processes of the above-mentioned information sending method embodiment, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0266] It should be understood that the chip mentioned in the embodiments of the present application can also be called a system-level chip, a system chip, a chip system or a system-on-chip chip, etc.

[0267] An embodiment of the present application provides a computer program product, which is stored in a storage medium. The program product is executed by at least one processor to implement the various processes of the above-mentioned information sending method embodiment and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0268] It should be noted that, in this article, the terms "comprise", "include" or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise one..." do not exclude the presence of other identical elements in the process, method, article or device including the element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved, for example, the described method may be performed in an order different from that described, and various steps may also be added, omitted, or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[0269] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a computer software product, which is stored in a storage medium (such as ROM / RAM, a disk, or an optical disk), and includes a number of instructions for a terminal (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present application.

[0270] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present application, ordinary technicians in this field can also make many forms without departing from the purpose of the present application and the scope of protection of the claims, all of which are within the protection of the present application.

Claims

1. A method for sending information, characterized in that: The method comprises: Receiving a first input to the AI ​​interactive interface; the first input corresponds to information sending instruction information, and the information sending instruction information includes contact information and information sending requirement information; In response to the first input, an AI processing result is displayed on the AI ​​interaction interface; the AI ​​processing result is a result of processing the information sending requirement information by the AI ​​model; Receiving a second input to the AI ​​interaction interface; In response to the second input, the AI ​​processing result is sent to the contact corresponding to the contact information.

2. The method according to claim 1, characterized in that The information sending requirement information includes requirement description information, or requirement description information and a supplementary object, and the supplementary object includes at least one of text, picture, and file.

3. The method according to claim 2, characterized in that The information sending requirement information includes requirement description information and supplementary objects, and the supplementary objects include at least one of text, pictures, and files; the AI ​​processing result includes the information body and attachments; In response to the first input, displaying the AI ​​processing result on the AI ​​interaction interface includes: In response to the first input, determining, by the AI ​​model, an information sending application according to at least one of the requirement description information and the supplementary object, determining, by the AI ​​model, a message body according to the requirement description information and the supplementary object, and determining, by the AI ​​model, an attachment according to the supplementary object; The message body and the attachment are displayed on the AI ​​interactive interface using the message format of the message sending application.

4. The method according to claim 3, characterized in that The sending, in response to the second input, the AI ​​processing result to the contact corresponding to the contact information, includes: In response to the second input, the AI ​​processing result is sent to the contact corresponding to the contact information through the information sending application.

5. The method according to claim 1, characterized in that The method further comprises: Receiving a third input to the AI ​​interaction interface; In response to the third input, an editing operation is performed on the AI ​​processing result.

6. The method according to claim 3, characterized in that: The determining the information text according to the requirement description information and the supplementary object by the AI ​​model includes: According to the first text template and the first language style, the information body is determined by the AI ​​model based on the requirement description information and the supplementary object.

7. The method according to claim 4, characterized in that The step of sending the AI ​​processing result to the contact corresponding to the contact information by the information sending application in response to the second input includes: In response to the second input, when the message body includes private information, the message body and the attachment are processed using an encryption processing strategy, and the processed message body and the attachment are sent to the contact corresponding to the contact information; The encryption processing strategy includes at least one of the following: setting access permission strategy, setting operation permission strategy, and encryption strategy.

8. The method according to claim 7, characterized in that In response to the second input, when the message body includes private information, using an encryption processing strategy to process the message body and the attachment, and sending the processed message body and the attachment to the contact corresponding to the contact information, including: In response to the second input, when the message body includes private information, a prompt message is displayed; the prompt message is used to prompt the user whether to process the message body and the attachment; When a confirmation input for the prompt information is received, the message body and the attachment are processed using the encryption processing strategy, and the processed message body and the attachment are sent to the contact corresponding to the contact information.

9. The method according to claim 3, characterized in that: The information format is an email format, the information body is an email body, and the attachment is an email attachment.

10. The method according to claim 3, characterized in that: The information format is a communication message format, the information body is the message body, and the attachment is a message sending file.

11. An information sending device, characterized in that: The device comprises: a receiving module, a display module and a sending module; The receiving module is used to receive a first input to the AI ​​interactive interface; the first input corresponds to information sending instruction information, and the information sending instruction information includes contact information and information sending requirement information; The display module is used to display an AI processing result on the AI ​​interaction interface in response to the first input received by the receiving module; the AI ​​processing result is a processing result of the information sending requirement information by the AI ​​model; The receiving module is further used to receive a second input to the AI ​​interaction interface; The sending module is used to send the AI ​​processing result to the contact corresponding to the contact information in response to the second input received by the receiving module.

12. The device according to claim 11, characterized in that The information sending requirement information includes requirement description information, or requirement description information and a supplementary object, and the supplementary object includes at least one of text, picture, and file.

13. The device according to claim 12, characterized in that The information sending requirement information includes requirement description information and supplementary objects, and the supplementary objects include at least one of text, pictures, and files; the AI ​​processing result includes the information body and attachments; the device also includes a processing module; The processing module is specifically configured to, in response to the first input, determine, through the AI ​​model, an information sending application according to at least one of the requirement description information and the supplementary object, determine, through the AI ​​model, a message body according to the requirement description information and the supplementary object, and determine, through the AI ​​model, an attachment according to the supplementary object; The display module is specifically used to display the message body and the attachment in the AI ​​interactive interface using the message format of the information sending application.

14. An electronic device, characterized in that: The method comprises a processor and a memory, wherein the memory stores a program or instruction that can be run on the processor, and when the program or instruction is executed by the processor, the steps of the information sending method according to any one of claims 1 to 10 are implemented.

15. A readable storage medium, characterized in that: The readable storage medium stores a program or an instruction, and when the program or the instruction is executed by the processor, the steps of the information sending method according to any one of claims 1 to 10 are implemented.

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