Initial deployment

Dockerfile

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+FROM python:3.9
+
+WORKDIR /app
+
+COPY . /app
+
+RUN pip install -r requirements.txt
+
+CMD ["python", "app.py"]

app.py

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+from flask import Flask, request, jsonify
+import pickle
+import numpy as np
+import logging
+
+app = Flask(__name__)
+
+log = logging.getLogger('werkzeug')
+log.setLevel(logging.ERROR)
+
+model = pickle.load(open("lead_conversion_model.pkl","rb"))
+
+@app.route("/predict", methods=["POST"])
+def predict():
+
+    data = request.json["data"]
+    prediction = model.predict(np.array(data).reshape(1, -1))
+
+    return jsonify({
+        "prediction": int(prediction[0])
+    })
+
+if __name__ == "__main__":
+    app.run(debug=False)

lead_conversion_model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2cd7ee0f54b3077b8e637f54873ed0552285189dc01601b6b8084b9734d6f825
+size 6848738

requirements.txt

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+flask
+numpy
+pandas
+scikit-learn