Add Bangla model API

app.py

@@ -1,12 +1,22 @@
 from fastapi import FastAPI
+import joblib
 
 app = FastAPI()
 
+# Load your model, vectorizer, label encoder
+model = joblib.load("bangla_model.pkl")
+vectorizer = joblib.load("bangla_vectorizer.pkl")
+label_encoder = joblib.load("bangla_label_encoder.pkl")
+
+# Root route to avoid 404
 @app.get("/")
-def read_root():
+def root():
     return {"message": "Bangla model API is running!"}
 
+# Example predict endpoint
 @app.post("/predict")
 def predict(text: str):
-    # Dummy response (replace with your ML model prediction)
-    return {"input": text, "prediction": "This is a dummy result"}
+    vect = vectorizer.transform([text])
+    pred = model.predict(vect)
+    label = label_encoder.inverse_transform(pred)
+    return {"prediction": label[0]}