Update app.py

app.py

@@ -118,7 +118,6 @@ def process_input_gradio(problem_description: str):
         ", ".join([f'{item["title"]}: {item["description"]}' for item in 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[0]), # Display matrix as DataFrame
         best_combinations_display,
         ", ".join(map(str, best_technologies_id)),
         best_technologies_display
@@ -137,7 +136,6 @@ output_constraints = gr.Textbox(label="2. Retrieved Constraints", interactive=Fa
 output_stemmed_constraints = gr.Textbox(label="3. Stemmed Constraints", interactive=False)
 output_tech_loaded = gr.Textbox(label="4. Global Technologies Status", interactive=False)
 output_similarities = gr.Textbox(label="5. Result Similarities (Constraint -> Top Technologies)", interactive=False)
-output_matrix = gr.Dataframe(label="6. Similarity Matrix (Constraints vs. Technologies)", interactive=False)
 output_best_combinations = gr.JSON(label="7. Best Technology Combinations Found")
 output_selected_ids = gr.Textbox(label="8. Selected Technology IDs", interactive=False)
 output_final_technologies = gr.JSON(label="9. Final Best Technologies")
@@ -155,7 +153,6 @@ with gr.Blocks() as gradio_app_blocks:
         output_stemmed_constraints.render()
         output_tech_loaded.render()
         output_similarities.render()
-        output_matrix.render()
         output_best_combinations.render()
         output_selected_ids.render()
         output_final_technologies.render()
@@ -169,7 +166,6 @@ with gr.Blocks() as gradio_app_blocks:
             output_stemmed_constraints,
             output_tech_loaded,
             output_similarities,
-            output_matrix,
             output_best_combinations,
             output_selected_ids,
             output_final_technologies