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app5.py
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app5.py
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import praw
import pandas as pd
import numpy as np
import sys
import re
import tensorflow as tf
import keras
import random
from keras.models import Sequential, load_model
from keras.layers import Dense
from praw.models import MoreComments
from flask import Flask, abort, request, render_template
from uuid import uuid4
import requests
import requests.auth
import urllib
import pandas as pd
import json
import predict
app = Flask(__name__)
@app.route('/test',methods = ['POST', 'GET'])
def test(name=None):
if request.method == 'POST':
result = request.form
result = pd.Series(result)
query_input = str(result[0])
predictions = predict.main(query_input)
predictions = json.dumps(predictions[0])
return render_template('test.html',userinput=predictions)
else:
return render_template('test.html')
if __name__ == '__main__':
app.run(debug = True)