Update app.py

app.py

@@ -42,12 +42,14 @@ summarizer_path = "lqqqqqqqqq/SummarizeModelGr9"
 combined_model = CombinedModel.from_pretrained(classifier_path, summarizer_path)
 
 # Streamlit application title
-st.title("Text Classification and Summarization")
+st.title("Twitter Text Classification and Summarization")
 st.write("Classification for 3 labels: negative, neutral, positive")
+st.markdown("Please enter at least 50 words & more than 4 sentences for better summarization")
 
 # Text input for user to enter the text to classify
 texts_input = st.text_area("Enter the texts to classify and summarize (one text per line)", "")
 
+
 # Perform text classification and summarization when the user clicks the "Classify" button
 if st.button("Classify"):
     texts = texts_input.split('\n')
@@ -64,4 +66,4 @@ if st.button("Classify"):
             st.write("Summary:", summary)
             st.write("---")
         else:
-            st.write("Please enter some text to classify and summarize.")
+            st.write("Please enter some text(more than 4 sentences) to classify and summarize.")