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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)
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