Update app.py

app.py

@@ -99,47 +99,3 @@ if st.button("Analyze Sentiment"):
 st.write("---")
 st.write("EdgeWise Content Moderation Bot - Powered by AI")
 
-
-'''
-import streamlit as st
-import pandas as pd
-import random
-
-# Introduction and Disclaimer
-st.title("Edge Device Content Moderation Bot")
-st.write("""
-This application is designed for content moderation and works best with local deployment.
-For more details, visit https://github.com/Ashar086/EdgeWise
-""")
-
-# Load the CSV to get the sentiment classes
-filename = "synData.csv"
-df = pd.read_csv(filename, names=["sentiment", "text"], encoding="utf-8", encoding_errors="replace")
-
-# Get unique sentiments from the CSV file
-sentiments = sorted(df.sentiment.unique())
-sentiment_string = "\n ".join(sentiments)
-
-# Disclaimer about the classes
-st.write(f"The bot is able to detect the following text categories: {', '.join(sentiments)}")
-
-# Function to simulate text analysis
-def random_response():
-    return "This is a random response. The actual analysis is best performed locally."
-
-# Streamlit Chat Interface
-st.write("### Enter text to analyze:")
-
-# User input
-user_input = st.text_area("Your text here...")
-
-if user_input:
-    with st.spinner("Analyzing sentiment..."):
-        # Simulate a random response
-        sentiment_detected = random.sample(sentiments,1)[0]
-
-        # Display the result
-        st.write(f"Detected text category: **{sentiment_detected}**")
-        st.write("This is a random response. The actual analysis is best performed locally.")
-
-'''