Create app.py

app.py

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+from fastapi import FastAPI
+from pydantic import BaseModel
+import os
+
+app = FastAPI()
+
+# Example: Simple data model for requests
+class Item(BaseModel):
+    name: str
+    description: str | None = None
+    price: float
+    tax: float | None = None
+
+# Root endpoint
+@app.get("/")
+def read_root():
+    return {"message": "Hello from your Hugging Face Space backend!"}
+
+# Example: An API endpoint that processes data
+@app.post("/items/")
+async def create_item(item: Item):
+    # Simulate some processing
+    processed_price = item.price * (1 + (item.tax or 0))
+    return {"item_name": item.name, "processed_price": processed_price, "status": "processed"}
+
+# Example: Accessing a secret (from Hugging Face Space secrets)
+@app.get("/secret-data/")
+def get_secret_data():
+    secret_value = os.getenv("MY_SECRET_KEY", "Secret not found or not set")
+    return {"secret_info": f"The secret is: {secret_value}"}
+
+# It's crucial for Hugging Face Spaces that your app listens on port 7860
+# Uvicorn (ASGI server for FastAPI) will handle this, but ensure your Dockerfile
+# and command are configured to expose this port.
+if __name__ == "__main__":
+    import uvicorn
+    uvicorn.run(app, host="0.0.0.0", port=7860)