Update app.py

app.py

@@ -79,33 +79,17 @@ def compare_all(old_pdf, new_pdf, lo_file):
     transformer_sim = transformer_similarity(old_text, new_text)
     text_growth = (len(new_text) - len(old_text)) / len(old_text) * 100
 
-    summary = f"📘 **Summary of Comparison**
-
-"
-    summary += f"📈 **TF-IDF Content Similarity**: {round(tfidf_sim * 100, 2)}%
-"
-    summary += f"🤖 **Transformer-based Similarity**: {round(transformer_sim * 100, 2)}%
-"
-    summary += f"📝 **Text Growth**: {'+' if text_growth >= 0 else ''}{round(text_growth, 2)}% more content in new handout
-
-"
-    summary += f"🎯 **LOs Matched (New ≥ 0.5)**: {sum(1 for s in new_scores if s >= 0.5)} of {len(los)}
-"
-    summary += f"📊 **Insight**: New content appears {'more' if sum(new_scores) > sum(old_scores) else 'less'} aligned with outcomes.
-"
-
-    explanation = (
-        "
-
----
-
-"
-        "📚 **Explanation of Methods**:
-"
-        "- **TF-IDF Similarity** checks how often important words appear in both documents. It gives a quick idea of textual overlap.
-"
-        "- **Transformer Similarity** uses AI to understand meaning beyond words. It compares the 'sense' of the documents like a human would.
-"
+    summary = f"📘 **Summary of Comparison**"
+    summary += f"📈 **TF-IDF Content Similarity**: {round(tfidf_sim * 100, 2)}%"
+    summary += f"🤖 **Transformer-based Similarity**: {round(transformer_sim * 100, 2)}%"
+    summary += f"📝 **Text Growth**: {'+' if text_growth >= 0 else ''}{round(text_growth, 2)}% more content in new handout"
+    summary += f"🎯 **LOs Matched (New ≥ 0.5)**: {sum(1 for s in new_scores if s >= 0.5)} of {len(los)}"
+    summary += f"📊 **Insight**: New content appears {'more' if sum(new_scores) > sum(old_scores) else 'less'} aligned with outcomes."
+
+    explanation = ("---"
+        "📚 **Explanation of Methods**:"
+        "- **TF-IDF Similarity** checks how often important words appear in both documents. It gives a quick idea of textual overlap."
+        "- **Transformer Similarity** uses AI to understand meaning beyond words. It compares the 'sense' of the documents like a human would."
     )
 
     return summary + explanation, df, fig, new_text