Update app.py

app.py

@@ -56,13 +56,13 @@ def process_input_gradio(problem_description: str):
     save_to_pickle(result_similarities)
 
     # Step 6: Find Best List Combinations
-    best_combinations = find_best_list_combinations(constraints_stemmed, global_tech_df, matrix)
+    best_combinations = find_best_list_combinations(constraints_stemmed, global_tech, matrix)
 
     # Step 7: Select Technologies
     best_technologies_id = select_technologies(best_combinations)
 
     # Step 8: Get Technologies by ID
-    best_technologies = get_technologies_by_id(best_technologies_id, global_tech_df)
+    best_technologies = get_technologies_by_id(best_technologies_id, global_tech)
 
     # Format outputs for Gradio
     matrix_display = matrix.tolist() # Convert numpy array to list of lists for better Gradio display
@@ -81,7 +81,7 @@ def process_input_gradio(problem_description: str):
         ", ".join(constraints_stemmed),
         "Global technologies loaded and ready.", # Acknowledge tech loading
         str(result_similarities_display), # Convert dict to string for display
-        pd.DataFrame(matrix_display, index=constraints_stemmed, columns=global_tech_df['name']), # Display matrix as DataFrame
+        pd.DataFrame(matrix_display, index=constraints_stemmed, columns=global_tech['name']), # Display matrix as DataFrame
         best_combinations_display,
         ", ".join(map(str, best_technologies_id)),
         best_technologies_display