Add Bangla model API

Dockerfile

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+FROM python:3.9
+
+WORKDIR /app
+
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+COPY . .
+
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]

app.py

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+from fastapi import FastAPI
+from pydantic import BaseModel
+import joblib
+
+# Load your trained model + vectorizer + encoder
+model = joblib.load("bangla_model.pkl")
+vectorizer = joblib.load("bangla_vectorizer.pkl")
+label_encoder = joblib.load("bangla_label_encoder.pkl")
+
+app = FastAPI()
+
+class TextData(BaseModel):
+    text: str
+
+@app.post("/predict")
+def predict(data: TextData):
+    X = vectorizer.transform([data.text])
+    pred = model.predict(X)[0]
+    label = label_encoder.inverse_transform([pred])[0]
+    return {"prediction": label}

bangla_label_encoder.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:8b97381ffedc27c901f65d34df96c460a6af7f866fd2a7866ee2c37f01545b34
+size 343

bangla_model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:588bea0a10ea919ecebaef1d252474b96eeb38a31ad06b7827512d9b3023ca12
+size 2808971

bangla_vectorizer.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:6aba876ea6ce6ffb627043624d1e9159beeaef30e2e0eea75d81986962dcb2f6
+size 7530201

requirements.txt

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+fastapi
+uvicorn
+scikit-learn
+joblib