| from flask import Flask,request,jsonify |
| import numpy as np |
| import pickle |
|
|
| model = pickle.load(open('model.pkl','rb')) |
|
|
| app = Flask(__name__) |
|
|
| @app.route('/') |
| def index(): |
| return "Stock prediction" |
|
|
| @app.route('/predict',methods=['POST']) |
| def predict(): |
| high = request.form.get('high') |
| low = request.form.get('low') |
| open = request.form.get('open') |
| volume = request.form.get('volume') |
| high=float(high) |
| low=float(low) |
| open=float(open) |
| volume=float(volume) |
| input_query = np.array([[high,low,open,volume]]) |
| result = model.predict(input_query)[0] |
| return jsonify({'res':str(result)}) |
|
|
| if __name__ == '__main__': |
| app.run(debug=True) |
|
|
