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how to connect an ml model to a web application Code Example
how to connect an ml model to a web application 
#import libraries
import numpy as np
from flask import Flask, render_template,request
import pickle#Initialize the flask App
app = Flask(__name__)
model = pickle.load(open('model.pkl', 'rb'))
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how to connect an ml model to a web application 
#default page of our web-app
@app.route('/')
def home():
    return render_template('index.html')
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how to connect an ml model to a web application 
# How To add ML to web. Go from down to up. Please
how to connect an ml model to a web application 
#To use the predict button in our web-app
@app.route('/predict',methods=['POST'])
def predict():
    #For rendering results on HTML GUI
    int_features = [float(x) for x in request.form.values()]
    final_features = [np.array(int_features)]
    prediction = model.predict(final_features)
    output = round(prediction[0], 2) 
    return render_template('index.html', prediction_text='CO2    Emission of the vehicle is :{}'.format(output))
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how to connect an ml model to a web application 
if __name__ == "__main__":
    app.run(debug=True)
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Type:
 Code Example
Category:
 Coding
Sub Category:
 Code Example
Uploaded by:
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