app.py

from flask import Flask, request, render_template
from nltk.corpus import stopwords
from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer

import nltk
nltk.download('stopwords')

app = Flask(__name__)

@app.route('/')
def my_index1():
    return render_template('index1.html')

@app.route('/', methods=['POST'])
def my_index1_post():
    stop_words = set(stopwords.words('english'))
    
    text1 = request.form['text1'].lower()
    
    # Remove digits
    text_final = ''.join(c for c in text1 if not c.isdigit())
    #hi
    
    # Remove punctuation (if needed)
    # text3 = ''.join(c for c in text2 if c not in punctuation)
        
    # Remove stopwords    
    processed_doc1 = ' '.join([word for word in text_final.split() if word not in stop_words])

    # Sentiment analysis
    sa = SentimentIntensityAnalyzer()
    dd = sa.polarity_scores(text=processed_doc1)
    compound = round((1 + dd['compound'])/2, 2)

    return render_template('index1.html', final=compound, text1=text_final, text2=dd['pos'], text5=dd['neg'], text4=compound, text3=dd['neu'])

if __name__ == "__main__":
    app.run(debug=True, host="0.0.0.0", port=5000, threaded=True)