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app.py
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app.py
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from flask import Flask,render_template,url_for,request
import pickle
# load the model from disk
clf = pickle.load(open('rfmodel.pickle', 'rb'))
cv = pickle.load(open('transformer.pickle','rb'))
app = Flask(__name__)
@app.route('/')
def home():
return render_template('home.html')
@app.route('/predict',methods=['POST'])
def predict():
if request.method == 'POST':
message = request.form['message']
data = [message]
vect = cv.transform(data).toarray()
my_prediction = clf.predict(vect)
return render_template('result.html',prediction = my_prediction)
if __name__ == '__main__':
app.run(debug=True)