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Dockerfile

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+FROM python:3.10-slim
+
+WORKDIR /app
+
+# Install dependencies
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy app code
+COPY app ./app
+
+EXPOSE 7860
+
+CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860"]

app/main.py

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+from fastapi import FastAPI
+from pydantic import BaseModel
+from gradio_client import Client
+
+# Configure your Gradio Space ID and default endpoint
+SPACE_ID = "prithivMLmods/SAMBANOVA"
+DEFAULT_API = "/chat"
+
+client = Client(SPACE_ID)
+
+def chat_with_gradio(message: str, api_name: str = DEFAULT_API):
+    """
+    Send a chat message to the Gradio API and return the response.
+    """
+    try:
+        return client.predict(message=message, api_name=api_name)
+    except Exception as e:
+        return {"error": str(e)}
+
+app = FastAPI()
+
+class ChatRequest(BaseModel):
+    message: str
+    api_name: str = DEFAULT_API
+
+@app.post("/chat")
+async def chat_endpoint(req: ChatRequest):
+    return {"reply": chat_with_gradio(req.message, req.api_name)}
+
+if __name__ == "__main__":
+    import uvicorn
+    print(f"Starting server on http://0.0.0.0:7860 using {SPACE_ID}{DEFAULT_API}")
+    uvicorn.run(app, host="0.0.0.0", port=7860)

requirements.txt

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+fastapi
+uvicorn[standard]
+gradio-client