deploy ml

load.py

import pandas as pd
from sklearn.ensemble import RandomForestClassifier

df = pd.read_csv('titanic.csv')

x = df[df.columns.difference(['Survived'])
y = df['Survived']
       
classifier = RandomForestClassifier()
classifier.fit(x, y)

persist.py

from sklearn.externals import joblib

joblib.dump(classifier, 'classifier.pkl')

serve.py

from flask import Flask

app = Flask(__name__)

@app.route('/predict', methods=['POST'])
def predict():
     json_ = request.json
     query_df = pd.DataFrame(json_)
     query = pd.get_dummies(query_df)
    
     classifier = joblib.load('classifier.pkl')
     prediction = classifier.predict(query)
     return jsonify({'prediction': list(prediction)})


if __name__ == '__main__':
     app.run(port=8080)

Hi, thunk for posting this example, I think here is some err brackets not closing
https://gist.github.com/thuwarakeshm/c47d05526c545d329700e649f9ff2384/1d18360f32e4e28a14a82c811ad7e33edb0c7cd0#file-load-py