app.py

import streamlit as st
import numpy as np
import pickle
import streamlit.components.v1 as components
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.model_selection import train_test_split
import pandas as pd
import nltk
import re
from sklearn.naive_bayes import BernoulliNB
from nltk.sentiment.vader import SentimentIntensityAnalyzer
nltk.download('vader_lexicon')

df = pd.read_csv('data.csv')
df['Class'] = df['rating'].apply(lambda c: 'pos' if c >= 4 else 'neg')
# X will be the features

sid = SentimentIntensityAnalyzer()
# Function for model prediction
def model_prediction(features):
    Review = sid.polarity_scores(features)
    return Review

def app_design():
    # Add input fields for High, Open, and Low values
    image = '50.png' # Load image 
    st.image(image, use_column_width=True)
    
    st.subheader("Enter the following values:")

    text= st.text_input("Enter your review")
    # Create a feature list from the user inputs
    features = text # add features according to notebook
    
    # Make a prediction when the user clicks the "Predict" button
    if st.button('Predict Review'):  
        predicted_value = model_prediction(features)
        if predicted_value['compound']>0:
             st.success("Your Review is Positive")
        elif predicted_value['compound']<0:
            st.success("Your Review is Negative")
        else:
            st.success("Your Review is Neutral")     
                    


def about_hidevs():

        components.html("""
        <div>
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        <a class="link" href="https://www.instagram.com/hidevs_community/" target="__blank">Instagram</a>
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        <a class="link" href="https://github.com/hidevscommunity" target="__blank">GitHub</a></p>
      </div>
        """,
                    height=600)

def main():

        # Set the app title and add your website name and logo
        st.set_page_config(
        page_title="Flipkart Review Sentimental Analysis",
        page_icon=":chart_with_upwards_trend:",
        )
    
        st.title("Welcome to our Flipkart Review Sentimental Analysis App!")
    
        app_design()    
        st.header("About HiDevs Community")
        about_hidevs()

if __name__ == '__main__':
        main()