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