Update app.py

app.py

@@ -2,21 +2,6 @@ import streamlit as st
 import pandas as pd
 from transformers import pipeline
 
-st.set_page_config(page_title="Sentiment Analysis App")
-st.sidebar.title("Sentiment Analysis App")
-st.sidebar.write("Choose a pre-trained model for sentiment analysis")
-model_name = st.sidebar.selectbox("Select Model", ["bert-base-uncased", "distilbert-base-uncased", "roberta-base"])
-text_input = st.text_input("Enter text for sentiment analysis")
-
-if st.button("Analyze"):
-    if text_input:
-        sentiment_classifier = pipeline("sentiment-analysis", model=model_name)
-        result = sentiment_classifier(text_input)[0]
-        st.write(f"Sentiment: {result['label']}")
-        st.write(f"Score: {round(result['score'], 4)}")
-    else:
-        st.warning("Please enter some text for sentiment analysis")
-
 def main():
     st.set_page_config(page_title="Sentiment Analysis App")
     st.sidebar.title("Sentiment Analysis App")