Upload app.py with huggingface_hub

app.py

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+
+from flask import Flask, request, jsonify
+import pandas as pd
+import joblib
+from huggingface_hub import hf_hub_download
+
+# Download model from Hugging Face Model Hub
+model_path = hf_hub_download(
+    repo_id="AkhilRaja/final-report-best-model",
+    filename="engine_model.pkl"
+)
+
+model = joblib.load(model_path)
+
+app = Flask(__name__)
+
+@app.route("/predict", methods=["POST"])
+def predict():
+    data = request.json
+    df = pd.DataFrame([data])
+    prediction = model.predict(df)
+    return jsonify({"prediction": int(prediction[0])})
+
+if __name__ == "__main__":
+    app.run(host="0.0.0.0", port=7860)