Android Studio Hedgehog升级后GPT插件不可用怎么办

2023-12-16 22:05:02

在Android Studio Hedgehog版本中修复GPT插件问题：全面指南

作为一名Android开发人员，使用GPT插件的乐趣在Android Studio升级到Hedgehog版本后戛然而止。令人沮丧的是，这个曾经不可或缺的工具现在却无法正常工作了。但别担心，本文将提供分步指南，帮助你解决此问题，让你的GPT插件重获新生。

检查兼容性

首先，确保你的GPT插件与Hedgehog版本兼容。许多流行的插件，如GPT-3 for Android Studio，已更新并兼容。前往插件的官方网站或GitHub页面进行确认。

卸载并重新安装插件

如果你的插件兼容，但仍无法使用，尝试卸载并重新安装它。在Android Studio中转到“Settings”>“Plugins”，找到GPT插件并点击“Uninstall”。重启Android Studio，然后返回“Settings”>“Plugins”>“Marketplace”，搜索GPT插件并点击“Install”。

检查设置

确保Android Studio设置正确。转到“Settings”>“Preferences”，搜索“GPT”。确认“Enable GPT plugin”已勾选，“GPT API key”字段已正确配置。

检查API密钥

使用GPT插件需要一个有效的GPT API密钥。前往OpenAI网站创建密钥。复制粘贴密钥到Android Studio的“Settings”>“Preferences”中的“GPT API key”字段。

重启Android Studio

有时，只需重启Android Studio就能解决问题。关闭并重新启动它，检查GPT插件是否正常工作。

联系作者

如果上述步骤均无法解决问题，请尝试联系插件作者。前往插件的官方网站或GitHub页面找到他们的联系方式。

代码示例

以下代码段显示了如何在Android Studio中使用GPT插件：

import com.google.api.gax.longrunning.OperationFuture;
import com.google.cloud.aiplatform.v1.CompletionRequest;
import com.google.cloud.aiplatform.v1.CompletionResponse;
import com.google.cloud.aiplatform.v1.CompletionServiceClient;
import com.google.cloud.aiplatform.v1.CompletionServiceSettings;
import com.google.cloud.aiplatform.v1.LocationName;
import com.google.cloud.aiplatform.v1.TextSegment;
import com.google.cloud.aiplatform.v1.TextSnippet;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
import java.util.concurrent.ExecutionException;

public class GptCompletion {

  public static void main(String[] args)
      throws IOException, ExecutionException, InterruptedException {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "PROJECT";
    String displayName = "DISPLAY_NAME";
    String text = "TEXT";
    gptCompletion(projectId, displayName, text);
  }

  public static void gptCompletion(
      String projectId, String displayName, String text)
      throws IOException, ExecutionException, InterruptedException {
    CompletionServiceSettings completionServiceSettings =
        CompletionServiceSettings.newBuilder()
            .setEndpoint("us-central1-aiplatform.googleapis.com:443")
            .build();

    // Initialize client that will be used to send requests. This client only needs to be created
    // once, and can be reused for multiple requests. After completing all of your requests, call
    // the "close" method on the client to safely clean up any remaining background resources.
    try (CompletionServiceClient completionServiceClient =
        CompletionServiceClient.create(completionServiceSettings)) {
      String location = "us-central1";
      LocationName locationName = LocationName.of(projectId, location);
      String modelId = "YOUR_MODEL_ID";
      List<TextSegment> textSegments = new ArrayList<>();
      textSegments.add(
          TextSegment.newBuilder()
              .setText(text)
              .setBeginOffset(0)
              .setEndOffset(text.length())
              .build());
      TextSnippet textSnippet =
          TextSnippet.newBuilder().setContent(text).addAllTextSegments(textSegments).build();
      CompletionRequest completionRequest =
          CompletionRequest.newBuilder()
              .setParent(locationName.toString())
              .setModel(modelId)
              .setInput(textSnippet)
              .setMaxAlternatives(3)
              .build();

      OperationFuture<CompletionResponse, com.google.cloud.aiplatform.v1.CompletionOperationMetadata>
          operationFuture = completionServiceClient.completeOperationAsync(completionRequest);
      CompletionResponse completionResponse = operationFuture.get();

      List<TextSnippet> completionResults = completionResponse.getPredictionsList();
      for (TextSnippet completionResult : completionResults) {
        System.out.format(
            "GPT completion: %s\n", completionResult.getText() + "\n");
      }
    }
  }
}