Upload 4 files

.env

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+GEMINI_API_KEY='AIzaSyBM-QVojJCqw91OS6Brt1aE_pPsw-UKe8c'

Dockerfile

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+FROM python:3.9
+
+WORKDIR /code
+COPY requirements.txt .
+RUN pip install -r requirements.txt
+
+COPY . .
+
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]

app.py

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+from fastapi import FastAPI, Request
+import requests
+import os
+
+app = FastAPI()
+
+GEMINI_API_KEY = os.environ.get("GEMINI_API_KEY")
+GEMINI_ENDPOINT = f"https://generativelanguage.googleapis.com/v1beta/models/gemini-pro:generateContent?key={GEMINI_API_KEY}"
+
+
+@app.post("/api/ai-insight")
+async def generate_insight(request: Request):
+    body = await request.json()
+    prompt = body.get("prompt", "Analyze this chart data.")
+
+    response = requests.post(
+        GEMINI_ENDPOINT,
+        headers={"Content-Type": "application/json"},
+        json={"contents": [{"parts": [{"text": prompt}]}]},
+    )
+
+    data = response.json()
+    try:
+        return {
+            "insight": data["candidates"][0]["content"]["parts"][0]["text"]
+        }
+    except Exception as e:
+        return {"error": "Gemini response parsing failed", "details": str(e)}

requirements.txt

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+fastapi
+uvicorn
+requests