Anwendungen mit der Gemini API erstellen

        model = genai.GenerativeModel(model_name="gemini-1.5-flash-latest")

        response = model.generate_content(["What's in this photo?", img])
      

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

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

        const model = genAI.getGenerativeModel({ model: "gemini-1.5-flash-latest"});

        const result = await model.generateContent([
            "What's in this photo?",
            {inlineData: {data: imgDataInBase64, mimeType: 'image/png'}}
        ]);
      

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

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

        const model = genAI.getGenerativeModel({ model: "gemini-1.5-flash-latest"});

        const result = await model.generateContent([
            "What's in this photo?",
            {inlineData: {data: imgDataInBase64, mimeType: 'image/png'}}
        ]);
      

        model := client.GenerativeModel("gemini-1.5-flash-latest")

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

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

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