Update app.py

app.py

@@ -6,20 +6,23 @@ summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
 
 # Streamlit application title
 st.title("Sentiment Analysis with text summarization for Singapore Airline")
-st.write("Summarization first, then sentiment analysis")
+st.write("Summarization first, then sentiment analysis.")
 
 # Text input for user to enter the text to summarize
-text = st.text_area("Enter the text to analyze", "")
+text = st.text_area("Enter the text to analyze:", "")
 
 # Perform text summarization when the user clicks the "Go!" button
 if st.button("Go!"):
     # Perform text summarization on the input text
     results = summarizer(text)[0]['summary_text']
-    st.write("Step 1: Text after summarization:", results)
+    st.write("Step 1: Text after summarization:")
+    st.write(results)
 
     # Sentiment analysis as the second step
     classifier = pipeline("text-classification", model="Rrrrrrrita/Custom_Sentiment", return_all_scores=True)
-    st.write("Classification for 3 emotions: positve, neutral, and negative")
+
+    st.write('Step 2: Sentiment Analysis:')
+    st.write("\t\t Classification for 3 emotions: positve, neutral, and negative")
 
     labels = classifier(text)[0]
     max_score = float('-inf')
@@ -30,6 +33,6 @@ if st.button("Go!"):
             max_score = label['score']
             max_label = label['label']
             
-    st.write('Step 2: Sentiment Analysis:')
-    st.write("Label:", max_label)
-    st.write("Score:", max_score)
+
+    st.write("\tLabel:", max_label)
+    st.write("\tScore:", max_score)