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app.py

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+from flask import Flask, request, jsonify, render_template
+import pickle
+
+app = Flask(__name__)
+
+# Load the pickled pipeline
+with open('pipeline.pkl', 'rb') as file:
+    pipeline = pickle.load(file)
+
+@app.route('/')
+def home():
+    return render_template('index.html')
+
+@app.route('/predict', methods=['POST'])
+def predict():
+    data = request.get_json(force=True)
+    text = data['text']
+    prediction = pipeline.predict([text])[0]
+    return jsonify({'prediction': prediction})
+
+if __name__ == '__main__':
+    app.run(debug=True)

pipeline.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:47353d80964045db447dbbace5fb083063999222c5dfebe062fd90c27454eb9c
+size 178039931