Add application file

app.py

@@ -290,8 +290,6 @@ def fmea_rag_interface(mode, effect, cause, severity, occurrence, detection):
         output_df['new_O'] = output_df['new_O'].astype(int)
         output_df['new_D'] = output_df['new_D'].astype(int)
         output_df['new_RPN'] = output_df['new_S'] * output_df['new_O'] * output_df['new_D']
-        output_df['generated_at'] = datetime.now(timezone.utc).strftime("%Y-%m-%d %H:%M:%S UTC")
-
         rpn_change_list = [f"{int(rpn)} ➔ {int(new_rpn)}" for new_rpn in output_df['new_RPN']]
 
         display_df = pd.DataFrame({
@@ -301,8 +299,7 @@ def fmea_rag_interface(mode, effect, cause, severity, occurrence, detection):
             "Department": output_df['department'],
             "AI Confidence": [f"{score}%" for score in output_df['ai_score']],
             "Avg. Feedback": [f"{avg:.2f}/10 ({int(count)})" for avg, count in zip(output_df['avg_feedback'], output_df['feedback_count'])],
-            "Revised RPN": rpn_change_list,
-            "Generated At (UTC)": output_df['generated_at']
+            "Revised RPN": rpn_change_list
         })
 
     except Exception as e:
@@ -347,14 +344,14 @@ if build_rag_chain():
             gr.Markdown("## 💡 Top 3 AI-Generated Recommendations")
             rpn_output = gr.Textbox(label="Current RPN", interactive=False)
             recommendations_output = gr.DataFrame(
-                headers=["Rank", "Recommended Action", "Action Details", "Department", "AI Confidence", "Avg. Feedback", "Revised RPN", "Generated At (UTC)"],
-                datatype=["number", "str", "str", "str", "str", "str", "str", "str"]
+                headers=["Rank", "Recommended Action", "Action Details", "Department", "AI Confidence", "Avg. Feedback", "Revised RPN"],
+                datatype=["number", "str", "str", "str", "str", "str", "str"]
             )
             df_state = gr.State()
 
         with gr.Group():
             gr.Markdown("## ⭐ Provide Feedback")
-            gr.Markdown("Click a row in the table above to select it, then submit your rating.")
+            gr.Markdown("Click a row in the table above to select it, then submit a thumbs up or thumbs down.")
             selected_action_text = gr.Textbox(label="Selected for Feedback", interactive=False)
             feedback_choice = gr.Radio(
                 choices=["👍 Thumbs Up", "👎 Thumbs Down"],