Create app.py

app.py

@@ -0,0 +1,14 @@
+from fastapi import FastAPI
+from pydantic import BaseModel
+from transformers import pipeline
+
+app = FastAPI()
+classifier = pipeline("sentiment-analysis")
+
+class TextRequest(BaseModel):
+    text: str
+
+@app.post("/predict")
+async def predict(request: TextRequest):
+    result = classifier(request.text)[0]
+    return {"label": result["label"], "score": result["score"]}