使用 Gemini API 构建应用

        import google.generativeai as genai
        import PIL.Image
        import os

        genai.configure(api_key=os.environ["GOOGLE_API_KEY"])
        img = PIL.Image.open('path/to/image.png')

        model = genai.GenerativeModel(model_name="gemini-1.5-flash")
        response = model.generate_content(["What is in this photo?", img])
        print(response.text)
      

        const { GoogleGenerativeAI } = require("@google/generative-ai");
        const fs = require("fs");
        const genAI = new GoogleGenerativeAI(process.env.GOOGLE_API_KEY);

        async function run() {
          const model = genAI.getGenerativeModel({ model: "gemini-1.5-flash"});
          const result = await model.generateContent([
            "What is in this photo?",
            {inlineData: {data: Buffer.from(fs.readFileSync('path/to/image.png')).toString("base64"),
            mimeType: 'image/png'}}]
          );
          console.log(result.response.text());
        }
        run();
      

        curl https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent?key=${GOOGLE_API_KEY} \
          -H 'Content-Type: application/json' \
          -d '{
          "contents":[{
            "parts":[
              {"text": "What is this picture?"},
                {"inline_data": {
                          "mime_type":"image/png",
                          "data": "'"$(base64 -i 'path/to/image/image.png')"'"
                          }}
                      ]}
                  ]
              }'
      

        import "github.com/google/generative-ai-go/genai"
        import "google.golang.org/api/option"

        ctx := context.Background()
        client, err := genai.NewClient(ctx, option.WithAPIKey(os.Getenv("GOOGLE_API_KEY")))
        model := client.GenerativeModel("gemini-1.5-flash")

        resp, err := model.GenerateContent(
          ctx,
          genai.Text("What's in this photo?"),
          genai.ImageData("jpeg", imgData))
      

        val model = GenerativeModel("gemini-1.5-flash")

        val response = model.generateContent(content {
          text("What's in this photo?")
          image(ingredientsBitmap)
        })
      

        let model = GenerativeModel(name: "gemini-1.5-flash")

        let response = try await model.generateContent("What's in this photo?", image)
      

        final model = GenerativeModel(model: "gemini-1.5-flash", apiKey: apiKey);

        final response = await model.generateContent([
          Content.text("What's in this photo?"),
          Content.data("image/png", imageBytes),
        ]);