Update app.py

app.py

@@ -1,4 +1,4 @@
-# Full updated app.py with TOOL_CALLS displayed separately and full fixes
+# Full updated app.py with TOOL_CALLS rendered + copy.deepcopy fix for Gradio UI updates
 
 import sys
 import os
@@ -15,6 +15,7 @@ import psutil
 import subprocess
 import traceback
 import torch
+import copy
 
 os.environ["VLLM_LOGGING_LEVEL"] = "DEBUG"
 if not torch.cuda.is_available():
@@ -162,7 +163,7 @@ def create_ui(agent):
             try:
                 history.append({"role": "user", "content": message})
                 history.append({"role": "assistant", "content": "⏳ Analyzing records for potential oversights..."})
-                yield history, None
+                yield copy.deepcopy(history), None
 
                 extracted = ""
                 file_hash_value = ""
@@ -228,7 +229,7 @@ Medical Records:
                     else:
                         history.append({"role": "assistant", "content": display_response})
 
-                    yield history, None
+                    yield copy.deepcopy(history), None
 
                 full_response = re.sub(r"\[TOOL_CALLS\].*?\n*", "", full_response, flags=re.DOTALL).strip()
                 full_response = full_response.replace('[TxAgent]', '').strip()
@@ -244,12 +245,12 @@ Medical Records:
                 else:
                     history.append({"role": "assistant", "content": full_response})
 
-                yield history, report_path if report_path and os.path.exists(report_path) else None
+                yield copy.deepcopy(history), report_path if report_path and os.path.exists(report_path) else None
 
             except Exception as e:
                 history.append({"role": "assistant", "content": f"❌ An error occurred in analyze: {str(e)}"})
                 traceback.print_exc()
-                yield history, None
+                yield copy.deepcopy(history), None
 
         send_btn.click(analyze, inputs=[msg_input, gr.State([]), file_upload], outputs=[chatbot, download_output])
         msg_input.submit(analyze, inputs=[msg_input, gr.State([]), file_upload], outputs=[chatbot, download_output])