first commit

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 + vectorizer + label encoder
+model = joblib.load("svm_model.pkl")
+vectorizer = joblib.load("language_tfid.pkl")
+label_encoder = joblib.load("label_encoder.pkl")
+
+@app.get("/")
+def root():
+    return {"message": "Language Identification API"}
+
+@app.post("/predict")
+def predict(request: PredictRequest):
+    vect = vectorizer.transform([request.text])
+    pred = model.predict(vect)
+    label = label_encoder.inverse_transform(pred)[0]
+
+    return {"prediction": label}

label_encoder.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f57c0651ef8591e5c1a156c9b0e2544876542761930c746091b6a10da118c64b
+size 502

language_tfid.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9425dfde7d5a2e206a6ce971f975ed30919ea563150ebe78c7d65e9505e0003a
+size 2510787

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:a10fec1b80bae7744d440e0819919e58f9bfd7cffbf8b491540a4ea9b2414258
+size 191331