Update app.py

app.py

@@ -82,4 +82,26 @@ if st.button('Analyze'):
     nx.draw_networkx_edges(G, pos, edge_color='gray', alpha=0.5)
     nx.draw_networkx_labels(G, pos, font_size=8)
     ax.axis('off')
-    st.pyplot(fig)
+    st.pyplot(fig)
+
+    # Generate a short summary using high-use words and terms
+    summary = ' '.join(word_counts.index[:5])  # Use top 5 words/terms for summary
+    st.markdown(f"### Short Summary\n```python\n{summary}\n```")
+    
+    # Generate glossary-style sentences for each high-use word/term
+    glossary = {}
+    for word in word_counts.index[:20]:
+        # Find the word in the text and extract surrounding words
+        start_index = text_input.find(word)
+        if start_index != -1:
+            end_index = start_index + len(word)
+            start_context = max(0, start_index - 20)
+            end_context = min(len(text_input), end_index + 20)
+            context = text_input[start_context:start_index] + ' ' + word + ' ' + text_input[end_index:end_context]
+            glossary[word] = context.replace('\n', ' ').strip()
+    
+    # Display the glossary-style sentences in markdown format
+    st.markdown("### Glossary")
+    for word, sentence in glossary.items():
+        st.markdown(f"```python\n{word}: {sentence}\n```")
+