update

app.py

@@ -1,6 +1,6 @@
 import streamlit as st
 import PyPDF2
-from extractive_model import summarize_pdf_with_textrank
+from extractive_model import summarize_text_with_textrank  # Renamed function
 
 # Set page to wide mode
 st.set_page_config(layout="wide")
@@ -27,7 +27,7 @@ def main():
 
     # Middle column: Text input and File uploader
     with col2:
-        user_input = st.text_input("Enter your text here:")
+        user_input = st.text_area("Enter your text here:")
         uploaded_file = st.file_uploader("Upload a PDF", type="pdf")
         if st.button("Summarize"):
             summary = ""
@@ -35,21 +35,23 @@ def main():
                 # Extract text from PDF
                 file_content = load_pdf(uploaded_file)
                 st.write("PDF uploaded successfully.")
-                if radio_selection == "Extractive":
-                    # Perform extractive summarization
-                    summary = summarize_pdf_with_textrank(file_content)
-                else:
-                    None
+            elif user_input:
+                file_content = user_input
             else:
                 st.write("Please upload a PDF or enter some text to summarize.")
+                return
+
+            # Perform extractive summarization
+            if radio_selection == "Extractive":
+                summary = summarize_text_with_textrank(file_content)
 
             st.session_state.summary = summary
 
     # Right column: Displaying text after pressing 'Summarize'
     with col3:
-        st.write("Output:")
+        st.write("Summary:")
         if 'summary' in st.session_state:
             st.write(st.session_state.summary)
 
 if __name__ == "__main__":
-    main()
+    main()

extractive_model.py

@@ -15,7 +15,7 @@ from sumy.summarizers.text_rank import TextRankSummarizer
 import nltk
 nltk.download('punkt')
 
-def summarize_pdf_with_textrank(text, sentences_count=5):
+def summarize_with_textrank(text, sentences_count=5):
     """
     Summarizes the provided text using TextRank algorithm.