Create app.py

app.py

@@ -0,0 +1,17 @@
+from fastapi import FastAPI
+from pydantic import BaseModel
+from transformers import pipeline
+
+app = FastAPI()
+
+# Load model remotely from Hugging Face Hub (replace with your model id)
+model_id = "distilbert-base-uncased-finetuned-sst-2-english"
+classifier = pipeline("sentiment-analysis", model=model_id)
+
+class TextIn(BaseModel):
+    text: str
+
+@app.post("/predict")
+def predict(data: TextIn):
+    result = classifier(data.text)
+    return {"label": result[0]['label'], "score": result[0]['score']}