Update app.py

app.py

@@ -483,24 +483,19 @@ def process_problem(problem_description):
     print(f"Category identified: {category_name} (Score: {cat_score:.3f}, Confident: {is_confident})")
 
     # 2. Find Relevant Technologies (relative to problem, across ALL categories)
-    # Pass only the problem description now
     relevant_technologies_df = find_relevant_technologies(problem_description)
     print(f"Found {len(relevant_technologies_df)} relevant technologies based on problem similarity.")
 
     tech_output = ""
     if not relevant_technologies_df.empty:
-        # Modify the header to clarify the selection criteria
         tech_output += f"### Top {len(relevant_technologies_df)} Most Relevant Technologies (selected based on similarity to your problem):\n\n"
         for _, row in relevant_technologies_df.iterrows():
-            # Clean name for display
             tech_name = re.sub(r'^- Title\s*:\s*', '', str(row.get('technology', 'N/A'))).strip()
             problem_relevance = row.get('similarity_score_problem', 0.0)
-            tech_output += f"- **{tech_name}** (Problem Relevance: {problem_relevance:.3f})\n" # More precision
-            # Optionally show original category for info
+            tech_output += f"- **{tech_name}** (Problem Relevance: {problem_relevance:.3f})\n"
             original_cats = str(row.get('category', 'Unknown')).strip()
             if original_cats:
                 tech_output += f"  *Original Category listed as: {original_cats}*\n"
-
         tech_output += "\n---\n" # Add separator
     else:
          tech_output = "Could not identify any relevant technologies based on the problem description.\n\n---\n"
@@ -512,30 +507,35 @@ def process_problem(problem_description):
 
     pairs_output = ""
     if top_pairs:
-         # Clarify the source of pairs
         pairs_output += f"### Top {len(top_pairs)} Technology Pairs (selected from the relevant technologies above, based on their inter-similarity):\n\n"
         for pair_names, score in top_pairs:
-            pairs_output += f"- **{pair_names[0]} + {pair_names[1]}** (Inter-Similarity: {score:.3f})\n" # More precision
+            pairs_output += f"- **{pair_names[0]} + {pair_names[1]}** (Inter-Similarity: {score:.3f})\n"
         pairs_output += "\n---\n"
-    # Don't add output if no pairs found, the search function will handle this
-    # else:
-    #     pairs_output = "Could not identify relevant technology pairs for search (need >= 2 relevant technologies).\n\n---\n"
+    # Note: The "else" case message will be added during final output assembly
 
     # 4. Search for Solutions using the Top Pairs
-    # Pass the original problem description for context if needed by the search function
     solution_output = search_solutions_for_pairs(problem_description, top_pairs)
     print("API search for solutions completed.")
 
-    # 5. Combine Outputs for Gradio
+    # 5. Combine Outputs for Gradio --- CORRECTED SECTION ---
     final_output = (
-        f"## Analysis Results for: {problem_description[:150]}\n\n"
+        f"## Analysis Results for: \"{problem_description[:150]}...\"\n\n"
         f"{category_output}\n\n"
         f"{tech_output}"
-        # Only show pairs if they were found
-        f"{pairs_output if top_pairs else 'No technology pairs identified to search with.|\n|\n---|\n'}"
-        f"{solution_output}"
+        # Intentionally left blank line above for structure
     )
 
+    # Add the pairs section conditionally - This avoids the backslash issue
+    if top_pairs:
+        final_output += pairs_output # pairs_output already contains formatting and separators
+    else:
+        # Add the "no pairs" message directly here
+        final_output += "No technology pairs identified to search with.\n\n---\n"
+
+    # Add the solution output
+    final_output += solution_output
+    # --- END OF CORRECTION ---
+
     print("--- Processing finished ---")
     return final_output