Update app.py

app.py

@@ -17,8 +17,16 @@ dce_expert = DiscussionContinuityExpert()
 MAX_ITERATIONS = 3 # Define maximum number of iterations
 
 
-def nova_workflow(business_info_file, product_service_file, history=[]): # **اصلاح: تغییر مقدار پیش‌فرض history به []**
-    iteration_number = len(history) + 1 # **محاسبه iteration_number بر اساس طول history**
+def nova_workflow(business_info_file, product_service_file, history=[]): # **Added history for state management**
+    if history is None: # **Initialization for the first iteration**
+        iteration_number = 1
+        history = [] # Initialize history list to store iteration outputs
+        business_info_df = pd.read_excel(business_info_file.name)
+        product_service_df = pd.read_excel(product_service_file.name)
+        business_info_form_data = business_info_df.iloc[0].to_dict()
+        product_service_form_data = product_service_df.to_dict('records')
+    else: # **Loading state from previous iteration**
+        iteration_number = history[-1]["iteration_number"] + 1 # Increment iteration number
 
     if iteration_number > MAX_ITERATIONS: # **Check for max iterations limit**
         return (
@@ -30,14 +38,7 @@ def nova_workflow(business_info_file, product_service_file, history=[]): # **ا
 
 
     try:
-        # Read data from uploaded Excel files using pandas
-        business_info_df = pd.read_excel(business_info_file.name)
-        product_service_df = pd.read_excel(product_service_file.name)
-
-        # Convert pandas DataFrames to dictionaries/JSON
-        business_info_form_data = business_info_df.iloc[0].to_dict()
-        product_service_form_data = product_service_df.to_dict('records')
-
+        # Run Nova System Workflow Iteration
         chatbot_prompt, knowledge_base, faq_section, prompt_critique_suggestions, knowledge_base_critique_suggestions, faq_section_critique_suggestions, summary, actions, cae_analysis_summary, dce_state, goals_next_iteration, current_work_efforts, proposed_work_efforts, end_iteration_message = dce_expert.run_iteration(
             iteration_number=iteration_number,
             expert_pee=pee_expert,
@@ -131,4 +132,28 @@ with gr.Blocks() as iface: # Use gr.Blocks for more control over layout and stat
         continue_iteration_button = gr.Button("Continue Iteration", visible=False) # "Continue Iteration" Button - Initially hidden
         finalize_button = gr.Button("Final Output", visible=False) # "Final Output" Button - Initially hidden
 
-    chatbot_prompt_output = gr.Code(language="markdown", label="Final Chatbot Prompt (English - Markdown)
+    chatbot_prompt_output = gr.Code(language="markdown", label="Final Chatbot Prompt (English - Markdown)") # **اصلاح: بستن علامت نقل قول در انتهای label**
+    knowledge_base_output = gr.Code(language="json", label="Knowledge Base (JSON-like)")
+    faq_section_output = gr.Code(language="json", label="FAQ Section (JSON-like)")
+
+    generate_button.click( # Event listener for "Generate" button
+        nova_workflow,
+        inputs=[business_info_file, product_service_file, history_state], # Pass history_state as input
+        outputs=[history_state, iteration_output_display, continue_iteration_button, finalize_button, chatbot_prompt_output, knowledge_base_output, faq_section_output] # Include history_state in outputs
+    )
+
+    continue_iteration_button.click( # Event listener for "Continue Iteration" button
+        nova_workflow,
+        inputs=[business_info_file, product_service_file, history_state], # Pass history_state as input
+        outputs=[history_state, iteration_output_display, continue_iteration_button, finalize_button, chatbot_prompt_output, knowledge_base_output, faq_section_output] # Include history_state in outputs
+    )
+
+    finalize_button.click( # Event listener for "Final Output" button
+        finalize_outputs,
+        inputs=[history_state], # Pass history_state as input
+        outputs=[chatbot_prompt_output, knowledge_base_output, faq_section_output, continue_iteration_button, finalize_button] # Buttons visibility in outputs
+    )
+
+
+if __name__ == "__main__":
+    iface.launch()