Create app.py

app.py

@@ -0,0 +1,20 @@
+from fastapi import FastAPI, HTTPException
+from pydantic import BaseModel
+from transformers import pipeline
+
+# Initialize FastAPI and load your Hugging Face model
+app = FastAPI()
+model = pipeline("text-classification", model="your-username/your-model-name")
+
+# Define request body with Pydantic
+class InputData(BaseModel):
+    text: str
+
+# API endpoint to receive input and return predictions
+@app.post("/predict/")
+async def predict(input_data: InputData):
+    try:
+        result = model(input_data.text)
+        return {"output": result}
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))