Update app.py

app.py

@@ -3,8 +3,8 @@ from transformers import pipeline
 from datetime import datetime
 
 # Set up Streamlit title and description
-st.title("Sentiment Analysis, Audio Feedback, and Response Generation")
-st.write("Enter a review, guess its sentiment (positive/negative), and get audio feedback on your guess along with a professional response.")
+st.title("Sentiment Analysis , Audio Feedback, and Response Generation")
+st.write("Enter a review, guess its sentiment (positive/negative), and get audio feedback on your guess and improve your Enlish.")
 
 # Load the sentiment analysis model
 sentiment_analysis = pipeline("text-classification", model="JACOBBBB/CustomModel_JL")
@@ -22,7 +22,7 @@ review = st.text_area("Enter the review to analyze", "")
 user_guess = st.selectbox("Guess the sentiment of your review:", ("Positive", "Negative"))
 
 # Perform operations when the user clicks the "Analyze and Respond" button
-if st.button("Analyze and Respond"):
+if st.button("Analyze and Generate"):
     # Perform sentiment analysis on the input review
     sentiment_result = sentiment_analysis(review)[0]
     label = sentiment_result['label'].upper()