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
+
+app = FastAPI()
+
+class PredictRequest(BaseModel):
+    text: str
+
+# Load model and vectorizer
+model = joblib.load("svm_model.pkl")
+vectorizer = joblib.load("banglish_tfid.pkl")
+label_encoder = joblib.load("banglish_label_encoder.pkl")
+
+@app.get("/")
+def root():
+    return {"message": "Welcome to the Banglish model API endpoint"}
+
+@app.post("/predict")
+def predict(request: PredictRequest):
+    vect = vectorizer.transform([request.text])
+    pred = model.predict(vect)  # returns encoded int (0 or 1)
+    label = label_encoder.inverse_transform(pred)  # convert back to "No" or "Yes"
+
+    # New mapping
+    mapping = {
+        "No": "Not Hate",
+        "Yes": "Hate Speech Detected"
+    }
+
+    return {"prediction": mapping[label[0]]}

banglish_label_encoder.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ba4c216df954c95c4862d1e9b45148afdf7248b9ea0bcc3f26e7f34478396645
+size 483

banglish_tfid.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:dde4d4c7c034cd5a53be3f6d6c5cb273d11031d9f0f006b556739cc3344b9adb
+size 564649

requirements.txt

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+fastapi
+uvicorn
+scikit-learn==1.2.2
+
+numpy==1.24.4
+joblib==1.2.0
+
+

svm_model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:54932761a59f56ecda8eb5a1eea35bd024f1f39d7a936585f5048aaca72e7aa4
+size 354907