gradio

app.py

@@ -137,14 +137,16 @@ title = """
     <h1>CauseWriter Chat with PDF • OpenAI</h1>
     <p style="text-align: center;">Upload a .PDF from your computer, click the "Load PDF to LangChain" button, <br />
     when everything is ready, you can start asking questions about the pdf. Limit ~11k words. <br />
-    This version is set to erase chat history automatically after page timeout and uses OpenAI as LLM.</p>
+    This version is set to erase chat history automatically after page timeout and uses OpenAI.</p>
 </div>
 """
 # Global variable for tracking last interaction time
 last_interaction_time = 0
 full_summary = ""  # Added global full_summary
 
-# ... (rest of your imports and function definitions)
+def update_summary_box():
+    global full_summary
+    return {"summary_box": full_summary}
 
 with gr.Blocks(css=css) as demo:
     with gr.Column(elem_id="col-container"):
@@ -159,19 +161,16 @@ with gr.Blocks(css=css) as demo:
             
             # New Textbox to display summary
             summary_box = gr.Textbox(label="Document Summary", placeholder="Summary will appear here.", 
-                                     value=full_summary, interactive=False, rows=5)
+                                     interactive=False, rows=5, elem_id="summary_box")
         
         chatbot = gr.Chatbot([], elem_id="chatbot").style(height=450)
         question = gr.Textbox(label="Question", placeholder="Type your question and hit Enter")
         submit_btn = gr.Button("Send Message")
 
-        # Function to update summary box
-        def update_summary_box():
-            global full_summary
-            summary_box.value = full_summary
-
     load_pdf.click(loading_pdf, None, langchain_status, queue=False)
-    load_pdf.click(pdf_changes, inputs=[pdf_doc], outputs=[langchain_status], queue=False).then(update_summary_box)  # Then update the summary_box
+    load_pdf.click(pdf_changes, inputs=[pdf_doc], outputs=[langchain_status], queue=False).then(
+        update_summary_box, state={"summary_box": summary_box}
+    )  # Then update the summary_box
     clear_btn.click(clear_data, outputs=[langchain_status], queue=False)
     question.submit(add_text, [chatbot, question], [chatbot, question]).then(
         bot, chatbot, chatbot