Add Bangla model API

app.py

@@ -1,22 +1,12 @@
 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 root():
+def read_root():
     return {"message": "Bangla model API is running!"}
 
-# Example predict endpoint
 @app.post("/predict")
 def predict(text: str):
-    vect = vectorizer.transform([text])
-    pred = model.predict(vect)
-    label = label_encoder.inverse_transform(pred)
-    return {"prediction": label[0]}
+    # Dummy response (replace with your ML model prediction)
+    return {"input": text, "prediction": "This is a dummy result"}