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flask_demo.py
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flask_demo.py
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from flask import Flask, request, jsonify
import pickle
app = Flask(__name__)
Filename = 'model.pkl'
with open(Filename, 'rb') as file:
model = pickle.load(file)
@app.route('/')
def index_page():
return jsonify({'meaasge': 'This is the api which returns the type of song rock or hip hop.',
'Parameters_required': 'acousticness,danceability,energy,instrumentalness,liveness,speechiness,tempo,valence'})
@app.route('/predict', methods=['POST', 'GET'])
def predict_logic():
query = request.args
acousticness = float(query.get('acousticness'))
danceability = float(query.get('danceability'))
energy = float(query.get('energy'))
instrumentalness = float(query.get('instrumentalness'))
liveness = float(query.get('liveness'))
speechiness = float(query.get('speechiness'))
tempo = float(query.get('tempo'))
valence = float(query.get('valence'))
pred_name = model.predict([[acousticness, danceability, energy,
instrumentalness, liveness, speechiness, tempo, valence]]).tolist()[0]
return jsonify({'prediction': pred_name})
if __name__ == "__main__":
app.run(debug=True)