deploy: Final minimal single API service

Dockerfile

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+FROM python:3.9-slim
+
+WORKDIR /app
+
+COPY ./requirements.txt /app/requirements.txt
+RUN pip install --no-cache-dir --upgrade -r /app/requirements.txt
+
+COPY ./app.py /app/
+
+# Hugging Face 要求对外暴露 7860 端口
+EXPOSE 7860
+
+# 直接运行 uvicorn，监听对外的主端口
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]

README.md

@@ -1,10 +1,12 @@
 ---
-title: Api1
-emoji: 📉
-colorFrom: pink
+title: Single GenAI API Service
+emoji: 🎯
+colorFrom: green
 colorTo: blue
 sdk: docker
 pinned: false
 ---
+This is a minimal FastAPI application that connects to the Google GenAI API.
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+- **GET /**: Check service status.
+- **POST /chat**: Send a prompt to the AI.

app.py

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+from fastapi import FastAPI, HTTPException
+from pydantic import BaseModel
+import google.generativeai as genai
+import os
+
+# !!! 重要 !!!
+# 强烈建议通过 Space Secrets (https://huggingface.co/docs/hub/spaces-secrets) 来管理 API Key
+# 1. 在 Space 的 Settings -> Secrets 中创建一个名为 GOOGLE_API_KEY 的 Secret
+# 2. 然后使用下面这行代码来读取它:
+#    genai.configure(api_key=os.environ.get("GOOGLE_API_KEY"))
+#
+# 为了方便首次测试，您可以先临时硬编码:
+genai.configure(api_key="YOUR_GOOGLE_API_KEY_HERE")
+
+
+app = FastAPI(title="Single GenAI API")
+
+class ChatRequest(BaseModel):
+    prompt: str
+
+@app.get("/")
+def read_root():
+    return {"status": "ok", "message": "The single API service is running successfully!"}
+
+@app.post("/chat")
+async def chat_handler(request: ChatRequest):
+    try:
+        model = genai.GenerativeModel('gemini-pro')
+        response = model.generate_content(request.prompt)
+        return {"response": response.text}
+    except Exception as e:
+        # 打印详细错误到日志，方便调试
+        print(f"An error occurred: {e}")
+        raise HTTPException(status_code=500, detail=str(e))

requirements.txt

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+fastapi
+uvicorn
+google-generativeai