Copilote IA PDF

Aspose.PDF AI Copilot API conçu pour permettre aux utilisateurs de traiter des documents PDF en utilisant des LLMs de différents fournisseurs. Cette API aidera les utilisateurs à créer des applications de chatbot et à intégrer des solutions PDF avec des LLMs.

Caractéristiques clés

• Résumé de document.
• Chat avec des documents.
• Obtenez des images à partir de documents et fournissez des descriptions.

Exemples

Actuellement, les copilotes suivants sont disponibles :

OpenAI Summary permet aux utilisateurs de générer des résumés à partir de documents. Il fournit un moyen pratique de créer des résumés en configurant des options telles que le modèle, la température, le nombre de tokens, les instructions du modèle, les pièces jointes de documents et d’autres. Le copilote peut générer des résumés de manière asynchrone sous forme de texte, de documents et enregistrer les résumés dans divers formats. Le code de démonstration fourni montre la création d’un client OpenAI, la configuration des options du copilote et l’utilisation du SummaryCopilot pour générer et enregistrer des résumés.

.NET Core 3.1

// For complete examples and data files, visit https://github.com/aspose-pdf/Aspose.PDF-for-.NET
private static async Task GetSummary()
{
    // The path to the documents directory
    var dataDir = RunExamples.GetDataDir_AsposePdf_AI();

    // Create AI client
    using (var openAiClient = Aspose.Pdf.AI.OpenAIClient
               .CreateWithApiKey(ApiKey) // Create OpenAI client with the API key
               //.WithProject("proj_123") // Configure optional parameters
               .Build())
    {
        // Create copilot options
        var options = Aspose.Pdf.AI.OpenAISummaryCopilotOptions
            .Create() // Create options like this, or...
            //.Create(options => { options.Model = OpenAIModels.Gpt35Turbo; }) // ...create using delegate
            .WithTemperature(0.5) // Configure other optional parameters
            .WithDocument("SampleDocument.pdf"); // .WithDocument methods allows to add text, pdf and paths to documents
            //.WithDocuments(new List<Aspose.Pdf.AI.TextDocument> { new Aspose.Pdf.AI.TextDocument() }); // .WithDocuments methods allows to add text, pdf and path collections

        // Create summary copilot
        Aspose.Pdf.AI.ISummaryCopilot summaryCopilot = Aspose.Pdf.AI.AICopilotFactory.CreateSummaryCopilot(openAiClient, options);

        // Get summary text
        string summaryText = await summaryCopilot.GetSummaryAsync();

        // Get summary document
        Aspose.Pdf.Document summaryDocument = await summaryCopilot.GetSummaryDocumentAsync();

        // Get summary document with page info
        Aspose.Pdf.Document summaryDocumentWithPageInfo = await summaryCopilot.GetSummaryDocumentAsync(new Aspose.Pdf.PageInfo());

        // Save PDF document
        await summaryCopilot.SaveSummaryAsync(dataDir + "Summary_out.pdf");
    }
}

.NET 8

// For complete examples and data files, visit https://github.com/aspose-pdf/Aspose.PDF-for-.NET
private static async Task GetSummary()
{
    // The path to the documents directory
    var dataDir = RunExamples.GetDataDir_AsposePdf_AI();

    // Create AI client
    using var openAiClient = Aspose.Pdf.AI.OpenAIClient
        .CreateWithApiKey(ApiKey) // Create OpenAI client with the API key
        //.WithProject("proj_123") // Configure optional parameters
        .Build();

    // Create copilot options
    var options = Aspose.Pdf.AI.OpenAISummaryCopilotOptions
        .Create() // Create options like this, or...
        //.Create(options => { options.Model = OpenAIModels.Gpt35Turbo; }) // ...create using delegate
        .WithTemperature(0.5) // Configure other optional parameters
        .WithDocument("SampleDocument.pdf"); // .WithDocument methods allows to add text, pdf and paths to documents
        //.WithDocuments(new List<Aspose.Pdf.AI.TextDocument> { new Aspose.Pdf.AI.TextDocument() }); // .WithDocuments methods allows to add text, pdf and path collections

    // Create summary copilot
    Aspose.Pdf.AI.ISummaryCopilot summaryCopilot = Aspose.Pdf.AI.AICopilotFactory.CreateSummaryCopilot(openAiClient, options);

    // Get summary text
    string summaryText = await summaryCopilot.GetSummaryAsync();

    // Get summary document
    Aspose.Pdf.Document summaryDocument = await summaryCopilot.GetSummaryDocumentAsync();

    // Get summary document with page info
    Aspose.Pdf.Document summaryDocumentWithPageInfo = await summaryCopilot.GetSummaryDocumentAsync(new Aspose.Pdf.PageInfo());

    // Save PDF document
    await summaryCopilot.SaveSummaryAsync(dataDir + "Summary_out.pdf");
}

OpenAI Chat est un copilote IA conçu pour les interactions de chat avec des documents. Il facilite la génération de réponses aux requêtes des utilisateurs et la gestion du contexte. Les utilisateurs peuvent configurer les options du copilote, telles que le modèle, la température, le nombre de tokens, les instructions du modèle, les pièces jointes de documents et d’autres. Le copilote peut fournir des réponses à une ou plusieurs requêtes, enregistrer des réponses dans divers formats, sauvegarder et supprimer le contexte.

Le code fourni démontre la création d’un client OpenAI, la configuration des options de ChatCopilot et l’utilisation de ChatCopilot pour interagir avec les requêtes des utilisateurs et gérer le contexte.

.NET Core 3.1

// For complete examples and data files, visit https://github.com/aspose-pdf/Aspose.PDF-for-.NET
private static async Task ChatWithDocument()
{
    // The path to the documents directory
    var dataDir = RunExamples.GetDataDir_AsposePdf_AI();

    // Create AI client
    using (var openAiClient = Aspose.Pdf.AI.OpenAIClient
                .CreateWithApiKey(ApiKey) // Create OpenAI client with the API key
                //.WithProject("proj_123") // Configure optional parameters
                //.WithOrganization("org_123")
                .Build()) // Build
    {
        // Create copilot options
        var options = Aspose.Pdf.AI.OpenAIChatCopilotOptions
            .Create() // Create options like this, or...
            //.Create(options => { options.Model = OpenAIModels.Gpt35Turbo; }) // ...create using delegate
            .WithModel(Aspose.Pdf.AI.OpenAIModels.Gpt35Turbo) // Configure other optional parameters
            .WithTemperature(0.5)
            .WithTopP(1)
            //.WithContextBackupJsonPath("ContextBackup.json") // Supply context backup to resume the conversation session
            //.WithRestoreContextFromBackup(true) // If set to true, the context will be restored
            .WithDocument(dataDir + "SampleDocument.pdf"); // Attach documents using .WithDocument(s) methods allows to add text, pdf and paths to documents

        // Create summary copilot
        Aspose.Pdf.AI.IChatCopilot chatCopilot = Aspose.Pdf.AI.AICopilotFactory.CreateChatCopilot(openAiClient, options);

        // Get response on a user query
        string copilotResponse1 = await chatCopilot.GetResponseAsync("Summarize this document.");

        // Get response on a list of queries
        string copilotResponse2 = await chatCopilot.GetResponseAsync(new List<string>
        {
            "What is the subject of this document?",
            "How many words in it?"
        });

        // Save PDF document
        await chatCopilot.SaveResponseAsync("Summarize this document.", dataDir + "ResponseDocument1_out.pdf");

        // Save PDF document
        await chatCopilot.SaveResponseAsync(new List<string>
            {
                "What is the subject of this document?",
                "How many words in it?"
            },
            dataDir + "ResponseDocument2_out.pdf");

        // Save context (ids of assistant, thread, documents)
        await chatCopilot.SaveContextAsync(dataDir + "ContextBackup.json");

        // Deletes the context
        await chatCopilot.DeleteContextAsync();
    }
}

.NET 8

// For complete examples and data files, visit https://github.com/aspose-pdf/Aspose.PDF-for-.NET
private static async Task ChatWithDocument()
{
    // The path to the documents directory
    var dataDir = RunExamples.GetDataDir_AsposePdf_AI();

    // Create AI client
    using var openAiClient = Aspose.Pdf.AI.OpenAIClient
        .CreateWithApiKey(ApiKey) // Create OpenAI client with the API key
        //.WithProject("proj_123") // Configure optional parameters
        //.WithOrganization("org_123")
        .Build(); // Build

    // Create copilot options
    var options = Aspose.Pdf.AI.OpenAIChatCopilotOptions
        .Create() // Create options like this, or...
        //.Create(options => { options.Model = OpenAIModels.Gpt35Turbo; }) // ...create using delegate
        .WithModel(Aspose.Pdf.AI.OpenAIModels.Gpt35Turbo) // Configure other optional parameters
        .WithTemperature(0.5)
        .WithTopP(1)
        //.WithContextBackupJsonPath("ContextBackup.json") // Supply context backup to resume the conversation session
        //.WithRestoreContextFromBackup(true) // If set to true, the context will be restored
        .WithDocument(dataDir + "SampleDocument.pdf"); // Attach documents using .WithDocument(s) methods allows to add text, pdf and paths to documents

    // Create summary copilot
    Aspose.Pdf.AI.IChatCopilot chatCopilot = Aspose.Pdf.AI.AICopilotFactory.CreateChatCopilot(openAiClient, options);

    // Get response on a user query
    string copilotResponse1 = await chatCopilot.GetResponseAsync("Summarize this document.");

    // Get response on a list of queries
    string copilotResponse2 = await chatCopilot.GetResponseAsync(new List<string>
    {
        "What is the subject of this document?",
        "How many words in it?"
    });

    // Save summary as PDF document
    await chatCopilot.SaveResponseAsync("Summarize this document.", dataDir + "ResponseDocument1_out.pdf");

    // Save summary as PDF document
    await chatCopilot.SaveResponseAsync(new List<string>
        {
            "What is the subject of this document?",
            "How many words in it?"
        },
        dataDir + "ResponseDocument2_out.pdf");

    // Save context (ids of assistant, thread, documents)
    await chatCopilot.SaveContextAsync(dataDir +"ContextBackup.json");

    // Deletes the context
    await chatCopilot.DeleteContextAsync();
}

OpenAI Image Description est un copilote IA conçu pour générer des descriptions d’images d’images à l’intérieur des documents PDF ainsi que des fichiers d’images séparés. Les utilisateurs peuvent configurer les options du copilote, telles que le modèle, la température, le nombre de tokens, les instructions du modèle, les pièces jointes de documents et d’autres. Le copilote offre la possibilité d’obtenir des descriptions d’images pour tous les documents joints en une seule fois.

Le code fourni démontre la création d’un client OpenAI, la configuration des options de ImageDescriptionCopilot et l’utilisation du copilote pour obtenir des descriptions d’images pour les documents joints. De plus, il existe une méthode d’extension qui permet d’ajouter des descriptions d’images aux images dans les documents joints et d’enregistrer de nouveaux documents dans le répertoire fourni.

.NET Core 3.1

// For complete examples and data files, visit https://github.com/aspose-pdf/Aspose.PDF-for-.NET
private static async Task CreateImageDescriptions()
{
    // The path to the documents directory
    var dataDir = RunExamples.GetDataDir_AsposePdf_AI();

    // Create AI client
    using (var openAiClient = Aspose.Pdf.AI.OpenAIClient
        .CreateWithApiKey(ApiKey) // Create OpenAI client with the API key
        //.WithProject("proj_123") // Configure optional parameters
        //.WithOrganization("org_123")
        .Build()) // Build
    {
        // Create copilot options
        var options = Aspose.Pdf.AI.OpenAIImageDescriptionCopilotOptions
            .Create() // Create options like this, or...
            //.Create(options => { options.Model = OpenAIModels.Gpt4Turbo; }) // ...create using delegate
            .WithModel(Aspose.Pdf.AI.OpenAIModels.Gpt4Turbo) // The model should have vision capabilities
            .WithTemperature(0.5)
            .WithTopP(1)
            .WithDocument(new Aspose.Pdf.AI.PdfDocument // Attach documents
            {
                Name = "Another_Pdf_with_images",
                Document = new Aspose.Pdf.Document(dataDir + "Pdf_with_images.pdf")
            })
            .WithDocument(dataDir + "Mona_liza.jpg"); // Attach images
            //.WithDocument("Pdf_with_images.pdf"); // Attach document paths

        // Create copilot
        var copilot = Aspose.Pdf.AI.AICopilotFactory.CreateImageDescriptionCopilot(openAiClient, options);

        // Get Image descriptions
        List<Aspose.Pdf.AI.ImageDescriptionResult> imageDescriptions = await copilot.GetImageDescriptionsAsync();

        // Use extension method to add image descriptions to attached documents
        await copilot.AddPdfImageDescriptionsAsync(dataDir);
    }
}

.NET 8

// For complete examples and data files, visit https://github.com/aspose-pdf/Aspose.PDF-for-.NET
private static async Task CreateImageDescriptions()
{
    // The path to the documents directory
    var dataDir = RunExamples.GetDataDir_AsposePdf_AI();

    // Create AI client
    using var openAiClient = Aspose.Pdf.AI.OpenAIClient
        .CreateWithApiKey(ApiKey) // Create OpenAI client with the API key
        //.WithProject("proj_123") // Configure optional parameters
        //.WithOrganization("org_123")
        .Build(); // Build

    // Create copilot options
    var options = Aspose.Pdf.AI.OpenAIImageDescriptionCopilotOptions
        .Create() // Create options like this, or...
        //.Create(options => { options.Model = OpenAIModels.Gpt4Turbo; }) // ...create using delegate
        .WithModel(Aspose.Pdf.AI.OpenAIModels.Gpt4Turbo) // The model should have vision capabilities
        .WithTemperature(0.5)
        .WithTopP(1)
        .WithDocument(new Aspose.Pdf.AI.PdfDocument // Attach documents
        {
            Name = "Another_Pdf_with_images",
            Document = new Aspose.Pdf.Document(dataDir + "Pdf_with_images.pdf")
        })
        .WithDocument(dataDir + "Mona_liza.jpg"); // Attach images
        //.WithDocument(dataDir + "Pdf_with_images.pdf"); // Attach document paths

    // Create copilot
    var copilot = Aspose.Pdf.AI.AICopilotFactory.CreateImageDescriptionCopilot(openAiClient, options);

    // Get Image descriptions
    List<Aspose.Pdf.AI.ImageDescriptionResult> imageDescriptions = await copilot.GetImageDescriptionsAsync();

    // Use extension method to add image descriptions to attached documents
    await copilot.AddPdfImageDescriptionsAsync(dataDir);
}

OpenAI OCR est un copilote IA conçu pour extraire du texte à partir de documents et d’images numérisés. Les utilisateurs peuvent configurer les options du copilote, telles que le modèle, la température, le nombre de tokens, les instructions du modèle, les pièces jointes de documents et d’autres.

Le code fourni démontre la création d’un client OpenAI, la configuration des options de OpenAIOcrCopilotOptions et l’utilisation du copilote pour obtenir du texte à partir de documents et d’images numérisés.

.NET Core 3.1

// For complete examples and data files, visit https://github.com/aspose-pdf/Aspose.PDF-for-.NET
private static async Task ExtractText()
{
    // The path to the documents directory
    var dataDir = RunExamples.GetDataDir_AsposePdf_AI();

    // Create AI client
    using (var openAiClient = Aspose.Pdf.AI.OpenAIClient
        .CreateWithApiKey(ApiKey) // Create OpenAI client with the API key
        //.WithProject("proj_123") // Configure optional parameters
        //.WithOrganization("org_123")
        .Build()) // Build
    {
        // Create copilot options
        var options = Aspose.Pdf.AI.OpenAIOcrCopilotOptions
            .Create() // Create options like this, or...
            //.Create(options => { options.Model = OpenAIModels.Gpt4OMini; }) // ...create using delegate
            .WithModel(Aspose.Pdf.AI.OpenAIModels.Gpt4OMini) // The model should have vision capabilities
            .WithDocument(dataDir + "ScannedDocument.pdf") // Attach document paths
            .WithDocument(dataDir + "ImageWithText.jpg"); // Attach images

        // Create copilot
        Aspose.Pdf.AI.IOcrCopilot copilot = Aspose.Pdf.AI.AICopilotFactory.CreateOcrCopilot(openAiClient, options);

        // Get text recognitions
        List<Aspose.Pdf.AI.TextRecognitionResult> textRecognitions = await copilot.GetTextRecognitionResultAsync();

        // Access to the extracted text
        string text = textRecognitions[0].OcrDetails[0].ExtractedText;
    }
}

.NET 8

// For complete examples and data files, visit https://github.com/aspose-pdf/Aspose.PDF-for-.NET
private static async Task ExtractText()
{
    // The path to the documents directory
    var dataDir = RunExamples.GetDataDir_AsposePdf_AI();

    // Create AI client
    using var openAiClient = Aspose.Pdf.AI.OpenAIClient
        .CreateWithApiKey(ApiKey) // Create OpenAI client with the API key
        //.WithProject("proj_123") // Configure optional parameters
        //.WithOrganization("org_123")
        .Build(); // Build

    // Create copilot options
    var options = Aspose.Pdf.AI.OpenAIOcrCopilotOptions
        .Create() // Create options like this, or...
        //.Create(options => { options.Model = OpenAIModels.Gpt4OMini; }) // ...create using delegate
        .WithModel(Aspose.Pdf.AI.OpenAIModels.Gpt4OMini) // The model should have vision capabilities
        .WithDocument(dataDir + "ScannedDocument.pdf") // Attach document paths
        .WithDocument(dataDir + "ImageWithText.jpg"); // Attach images

    // Create copilot
    Aspose.Pdf.AI.IOcrCopilot copilot = Aspose.Pdf.AI.AICopilotFactory.CreateOcrCopilot(openAiClient, options);

    // Get text recognitions
    List<Aspose.Pdf.AI.TextRecognitionResult> textRecognitions = await copilot.GetTextRecognitionResultAsync();

    // Access to the extracted text
    string text = textRecognitions[0].OcrDetails[0].ExtractedText;
}

Llama Chat permet la création d’un client pour envoyer des requêtes à l’API de complétion de chat Llama.

.NET Core 3.1

// For complete examples and data files, visit https://github.com/aspose-pdf/Aspose.PDF-for-.NET
private static async Task ChatWithLlama()
{
    using (var llamaClient = Aspose.Pdf.AI.LlamaClient
        .CreateWithApiKey(ApiKey) // Create Llama client with the API key
        .Build())
    {
        var result = await llamaClient.CreateCompletionAsync(new Aspose.Pdf.AI.LlamaChatCompletionRequest
        {
            Messages = new List<Aspose.Pdf.AI.ChatMessage>
            {
                Aspose.Pdf.AI.ChatMessage.FromUser("Hello!")
            }
        });

        var response = result.Choices[0].Message.Content; // Hello! How can I assist you today?
    }
}

.NET 8

// For complete examples and data files, visit https://github.com/aspose-pdf/Aspose.PDF-for-.NET
private static async Task ChatWithLlama()
{
    using var llamaClient = Aspose.Pdf.AI.LlamaClient
        .CreateWithApiKey(ApiKey) // Create Llama client with the API key
        .Build();

    var result = await llamaClient.CreateCompletionAsync(new Aspose.Pdf.AI.LlamaChatCompletionRequest
    {
        Messages = new List<Aspose.Pdf.AI.ChatMessage>
        {
            Aspose.Pdf.AI.ChatMessage.FromUser("Hello!")
        }
    });

    var response = result.Choices[0].Message.Content; // Hello! How can I assist you today?
}

Llama Summary permet au client d’être utilisé pour créer le Summary Copilot.

.NET Core 3.1

// For complete examples and data files, visit https://github.com/aspose-pdf/Aspose.PDF-for-.NET
private static async Task GenerateSummary()
{
    // The path to the documents directory
    var dataDir = RunExamples.GetDataDir_AsposePdf_AI();

    using (var llamaClient = Aspose.Pdf.AI.LlamaClient
        .CreateWithApiKey(ApiKey) // Create Llama client with the API key
        .Build())
    {
        // Create copilot options
        var options = Aspose.Pdf.AI.LlamaSummaryCopilotOptions
            .Create() // Create options like this, or...
            //.Create(options => { options.Model = LlamaModels.Llama13BChat; }) // ...create using delegate
            .WithTemperature(0.5) // Configure other optional parameters
            .WithDocument(dataDir + "SampleDocument.pdf"); // .WithDocument methods allow to add text, pdf, and paths to documents
            //.WithDocuments(new List<Aspose.Pdf.AI.TextDocument> { new Aspose.Pdf.AI.TextDocument() }); // .WithDocuments methods allow to add text, pdf and path collections

        // Create summary copilot
        var summaryCopilot = Aspose.Pdf.AI.AICopilotFactory.CreateSummaryCopilot(llamaClient, options);

        // Get summary text
        string summaryText = await summaryCopilot.GetSummaryAsync();

        // Get summary document
        Aspose.Pdf.Document summaryDocument = await summaryCopilot.GetSummaryDocumentAsync();

        // Get the summary document with page info
        Aspose.Pdf.Document summaryDocumentWithPageInfo = await summaryCopilot.GetSummaryDocumentAsync(new Aspose.Pdf.PageInfo());

        // Save the summary as a PDF document
        await summaryCopilot.SaveSummaryAsync(dataDir + "Llama_out.pdf");

        // Save summary with specified format
        await summaryCopilot.SaveSummaryAsync(dataDir + "Llama_out.docx", Aspose.Pdf.SaveFormat.DocX);
    }
}

.NET 8

// For complete examples and data files, visit https://github.com/aspose-pdf/Aspose.PDF-for-.NET
private static async Task GenerateSummary()
{
    // The path to the documents directory
    var dataDir = RunExamples.GetDataDir_AsposePdf_AI();

    using var llamaClient = Aspose.Pdf.AI.LlamaClient
        .CreateWithApiKey(ApiKey) // Create Llama client with the API key
        .Build();

    // Create copilot options
    var options = Aspose.Pdf.AI.LlamaSummaryCopilotOptions
        .Create() // Create options like this, or...
        //.Create(options => { options.Model = LlamaModels.Llama13BChat; }) // ...create using delegate
        .WithTemperature(0.5) // Configure other optional parameters
        .WithDocument(dataDir + "SampleDocument.pdf"); // .WithDocument methods allow to add text, pdf, and paths to documents
        //.WithDocuments(new List<Aspose.Pdf.AI.TextDocument> { new Aspose.Pdf.AI.TextDocument() }); // .WithDocuments methods allow to add text, pdf and path collections

    // Create summary copilot
    var summaryCopilot = Aspose.Pdf.AI.AICopilotFactory.CreateSummaryCopilot(llamaClient, options);

    // Get summary text
    string summaryText = await summaryCopilot.GetSummaryAsync();

    // Get summary document
    Aspose.Pdf.Document summaryDocument = await summaryCopilot.GetSummaryDocumentAsync();

    // Get the summary document with page info
    Aspose.Pdf.Document summaryDocumentWithPageInfo = await summaryCopilot.GetSummaryDocumentAsync(new Aspose.Pdf.PageInfo());

    // Save the summary as a PDF document
    await summaryCopilot.SaveSummaryAsync(dataDir + "Llama_out.pdf");

    // Save summary with specified format
    await summaryCopilot.SaveSummaryAsync(dataDir + "Llama_out.docx", Aspose.Pdf.SaveFormat.DocX);
}