Create app.py

app.py

@@ -0,0 +1,27 @@
+from fastapi import FastAPI
+from pydantic import BaseModel
+from transformers import pipeline
+
+app = FastAPI()
+
+# Load YOUR trained model
+classifier = pipeline(
+    "sentiment-analysis",
+    model="sameerdorjee07/nepali-sentiment-xlmr",
+    device=-1
+)
+
+class TextInput(BaseModel):
+    text: str
+
+@app.get("/")
+def home():
+    return {"message": "Nepali Sentiment API Running"}
+
+@app.post("/predict")
+def predict(data: TextInput):
+    result = classifier(data.text)
+    return {
+        "label": result[0]["label"],
+        "score": float(result[0]["score"])
+    }