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app.py
import tensorflow as tf
from flask import Flask, request, jsonify
app = Flask(__name__)
model = tf.keras.models.load_model('model.h5')
@app.route('/predict', methods=['POST'])
def predict():
data = request.get_json()
prediction = model.predict([data['features']])
return jsonify({'result': float(prediction[0])})
if __name__ == '__main__':
app.run(port=5000)NEXT EXPERTISE