Interaktive Textgenerierung mit einem Chatbot
Mit Sammlungen den Überblick behalten
Sie können Inhalte basierend auf Ihren Einstellungen speichern und kategorisieren.
In diesem Beispiel wird gezeigt, wie Sie mit dem Gemini-Modell Text interaktiv generieren.
Weitere Informationen
Eine ausführliche Dokumentation, die dieses Codebeispiel enthält, finden Sie hier:
Codebeispiel
Nächste Schritte
Informationen zum Suchen und Filtern von Codebeispielen für andere Google Cloud-Produkte finden Sie im Google Cloud-Beispielbrowser.
Sofern nicht anders angegeben, sind die Inhalte dieser Seite unter der Creative Commons Attribution 4.0 License und Codebeispiele unter der Apache 2.0 License lizenziert. Weitere Informationen finden Sie in den Websiterichtlinien von Google Developers. Java ist eine eingetragene Marke von Oracle und/oder seinen Partnern.
[[["Leicht verständlich","easyToUnderstand","thumb-up"],["Mein Problem wurde gelöst","solvedMyProblem","thumb-up"],["Sonstiges","otherUp","thumb-up"]],[["Schwer verständlich","hardToUnderstand","thumb-down"],["Informationen oder Beispielcode falsch","incorrectInformationOrSampleCode","thumb-down"],["Benötigte Informationen/Beispiele nicht gefunden","missingTheInformationSamplesINeed","thumb-down"],["Problem mit der Übersetzung","translationIssue","thumb-down"],["Sonstiges","otherDown","thumb-down"]],[],[],[],null,["# Interactive text generation with a chatbot\n\nThis sample demonstrates how to use the Gemini model to generate text interactively.\n\nCode sample\n-----------\n\n### C#\n\n\nBefore trying this sample, follow the C# setup instructions in the\n[Vertex AI quickstart using\nclient libraries](/vertex-ai/docs/start/client-libraries).\n\n\nFor more information, see the\n[Vertex AI C# API\nreference documentation](/dotnet/docs/reference/Google.Cloud.AIPlatform.V1/latest).\n\n\nTo authenticate to Vertex AI, set up Application Default Credentials.\nFor more information, see\n\n[Set up authentication for a local development environment](/docs/authentication/set-up-adc-local-dev-environment).\n\n\n using https://cloud.google.com/dotnet/docs/reference/Google.Cloud.AIPlatform.V1/latest/Google.Cloud.AIPlatform.V1.html;\n using System;\n using System.Collections.Generic;\n using System.Threading.Tasks;\n\n public class MultiTurnChatSample\n {\n public async Task\u003cstring\u003e GenerateContent(\n string projectId = \"your-project-id\",\n string location = \"us-central1\",\n string publisher = \"google\",\n string model = \"gemini-2.0-flash-001\"\n )\n {\n // Create a chat session to keep track of the context\n ChatSession chatSession = new ChatSession($\"projects/{projectId}/locations/{location}/publishers/{publisher}/models/{model}\", location);\n\n string prompt = \"Hello.\";\n Console.WriteLine($\"\\nUser: {prompt}\");\n\n string response = await chatSession.SendMessageAsync(prompt);\n Console.WriteLine($\"Response: {response}\");\n\n prompt = \"What are all the colors in a rainbow?\";\n Console.WriteLine($\"\\nUser: {prompt}\");\n\n response = await chatSession.SendMessageAsync(prompt);\n Console.WriteLine($\"Response: {response}\");\n\n prompt = \"Why does it appear when it rains?\";\n Console.WriteLine($\"\\nUser: {prompt}\");\n\n response = await chatSession.SendMessageAsync(prompt);\n Console.WriteLine($\"Response: {response}\");\n\n return response;\n }\n\n private class ChatSession\n {\n private readonly string _modelPath;\n private readonly https://cloud.google.com/dotnet/docs/reference/Google.Cloud.AIPlatform.V1/latest/Google.Cloud.AIPlatform.V1.PredictionServiceClient.html _predictionServiceClient;\n\n private readonly List\u003cContent\u003e _contents;\n\n public ChatSession(string modelPath, string location)\n {\n _modelPath = modelPath;\n\n _predictionServiceClient = new https://cloud.google.com/dotnet/docs/reference/Google.Cloud.AIPlatform.V1/latest/Google.Cloud.AIPlatform.V1.PredictionServiceClientBuilder.html\n {\n Endpoint = $\"{location}-aiplatform.googleapis.com\"\n }.Build();\n\n // Initialize contents to send over in every request.\n _contents = new List\u003cContent\u003e();\n }\n\n public async Task\u003cstring\u003e SendMessageAsync(string prompt)\n {\n var content = new https://cloud.google.com/dotnet/docs/reference/Google.Cloud.AIPlatform.V1/latest/Google.Cloud.AIPlatform.V1.Content.html\n {\n Role = \"USER\",\n Parts =\n {\n new https://cloud.google.com/dotnet/docs/reference/Google.Cloud.AIPlatform.V1/latest/Google.Cloud.AIPlatform.V1.Part.html { Text = prompt }\n }\n };\n _contents.Add(content);\n\n var generateContentRequest = new https://cloud.google.com/dotnet/docs/reference/Google.Cloud.AIPlatform.V1/latest/Google.Cloud.AIPlatform.V1.GenerateContentRequest.html\n {\n Model = _modelPath,\n GenerationConfig = new https://cloud.google.com/dotnet/docs/reference/Google.Cloud.AIPlatform.V1/latest/Google.Cloud.AIPlatform.V1.GenerationConfig.html\n {\n Temperature = 0.9f,\n TopP = 1,\n TopK = 32,\n CandidateCount = 1,\n MaxOutputTokens = 2048\n }\n };\n generateContentRequest.Contents.AddRange(_contents);\n\n https://cloud.google.com/dotnet/docs/reference/Google.Cloud.AIPlatform.V1/latest/Google.Cloud.AIPlatform.V1.GenerateContentResponse.html response = await _predictionServiceClient.https://cloud.google.com/dotnet/docs/reference/Google.Cloud.AIPlatform.V1/latest/Google.Cloud.AIPlatform.V1.PredictionServiceClient.html#Google_Cloud_AIPlatform_V1_PredictionServiceClient_GenerateContentAsync_Google_Cloud_AIPlatform_V1_GenerateContentRequest_Google_Api_Gax_Grpc_CallSettings_(generateContentRequest);\n\n _contents.Add(response.https://cloud.google.com/dotnet/docs/reference/Google.Cloud.AIPlatform.V1/latest/Google.Cloud.AIPlatform.V1.GenerateContentResponse.html#Google_Cloud_AIPlatform_V1_GenerateContentResponse_Candidates[0].https://cloud.google.com/dotnet/docs/reference/Google.Cloud.AIPlatform.V1/latest/Google.Cloud.AIPlatform.V1.Content.html);\n\n return response.https://cloud.google.com/dotnet/docs/reference/Google.Cloud.AIPlatform.V1/latest/Google.Cloud.AIPlatform.V1.GenerateContentResponse.html#Google_Cloud_AIPlatform_V1_GenerateContentResponse_Candidates[0].https://cloud.google.com/dotnet/docs/reference/Google.Cloud.AIPlatform.V1/latest/Google.Cloud.AIPlatform.V1.Content.html.Parts[0].Text;\n }\n }\n }\n\nWhat's next\n-----------\n\n\nTo search and filter code samples for other Google Cloud products, see the\n[Google Cloud sample browser](/docs/samples?product=generativeaionvertexai)."]]