Update app.py

app.py

@@ -74,6 +74,7 @@ def process_input_gradio(problem_description: str):
     # Step 3: Stem Constraints
     constraints_stemmed = stem(constraints, "constraints")
     save_dataframe(pd.DataFrame({"stemmed_constraints": constraints_stemmed}), "constraints_stemmed.xlsx")
+    print(f"constraints_stemmed : {constraints_stemmed}")
 
     # Step 4: Global Tech (already loaded, just acknowledge)
     # save_dataframe(global_tech_df, "global_tech.xlsx") # This is already done implicitly by loading
@@ -96,8 +97,6 @@ def process_input_gradio(problem_description: str):
     # Format outputs for Gradio
     matrix_display = matrix #.tolist() # Convert numpy array to list of lists for better Gradio display
 
-    print(best_combinations)
-    
     result_similarities_display = {
         item['id2']: f"{item['constraint']['title']} ({item['similarity'].item():.3f})"
         for item in result_similarities
@@ -112,7 +111,6 @@ def process_input_gradio(problem_description: str):
     best_combinations_display = json.dumps(safe_best_combinations, indent=2)
     best_technologies_display = json.dumps(safe_best_technologies, indent=2)
 
-    print(f"constraints_stemmed : {constraints_stemmed}")
     
     return (
         prompt,