Update app.py

app.py

@@ -1,6 +1,5 @@
 import os
 import sys
-import random
 import gradio as gr
 from multiprocessing import freeze_support
 import importlib
@@ -14,7 +13,6 @@ import txagent.txagent
 importlib.reload(txagent.txagent)
 from txagent.txagent import TxAgent
 
-# === Debug print
 print(">>> TxAgent loaded from:", inspect.getfile(TxAgent))
 print(">>> TxAgent has run_gradio_chat:", hasattr(TxAgent, "run_gradio_chat"))
 
@@ -23,28 +21,27 @@ current_dir = os.path.abspath(os.path.dirname(__file__))
 os.environ["MKL_THREADING_LAYER"] = "GNU"
 os.environ["TOKENIZERS_PARALLELISM"] = "false"
 
-# === Model config
+# === Configs
 model_name = "mims-harvard/TxAgent-T1-Llama-3.1-8B"
 rag_model_name = "mims-harvard/ToolRAG-T1-GTE-Qwen2-1.5B"
 new_tool_files = {
     "new_tool": os.path.join(current_dir, "data", "new_tool.json")
 }
 
-# === Example prompts
 question_examples = [
     ["Given a patient with WHIM syndrome on prophylactic antibiotics, is it advisable to co-administer Xolremdi with fluconazole?"],
     ["What treatment options exist for HER2+ breast cancer resistant to trastuzumab?"]
 ]
 
-# === Helper: Add collapsible formatting
+# === Format output in collapsible panels
 def format_collapsible_response(content):
     return (
-        f"<details style='border: 1px solid #ccc; padding: 8px; margin-top: 8px;'>"
-        f"<summary style='font-weight: bold;'>Answer</summary>"
-        f"<div style='margin-top: 8px;'>{content}</div></details>"
+        f"<details open style='border: 1px solid #ccc; padding: 8px; margin-top: 8px; border-radius: 6px;'>"
+        f"<summary style='font-weight: bold; font-size: 16px;'>Answer</summary>"
+        f"<div style='margin-top: 10px; line-height: 1.6;'>{content.strip()}</div></details>"
     )
 
-# === UI creation
+# === UI
 def create_ui(agent):
     with gr.Blocks() as demo:
         gr.Markdown("<h1 style='text-align: center;'>TxAgent: Therapeutic Reasoning</h1>")
@@ -61,30 +58,34 @@ def create_ui(agent):
         message_input = gr.Textbox(placeholder="Ask your biomedical question...", show_label=False)
         send_button = gr.Button("Send", variant="primary")
 
-        # === Core handler (streaming generator)
+        # === Chat handler
         def handle_chat(message, history, temperature, max_new_tokens, max_tokens, multi_agent, conversation, max_round):
-            generator = agent.run_gradio_chat(
-                message=message,
-                history=history,
-                temperature=temperature,
-                max_new_tokens=max_new_tokens,
-                max_token=max_tokens,
-                call_agent=multi_agent,
-                conversation=conversation,
-                max_round=max_round
-            )
-
-            for update in generator:
-                formatted_messages = []
-                for m in update:
-                    role = m["role"] if isinstance(m, dict) else getattr(m, "role", "assistant")
-                    content = m["content"] if isinstance(m, dict) else getattr(m, "content", "")
-                    if role == "assistant":
-                        content = format_collapsible_response(content)
-                    formatted_messages.append({"role": role, "content": content})
-                yield formatted_messages
-
-        # === Trigger handlers
+            try:
+                generator = agent.run_gradio_chat(
+                    message=message,
+                    history=history,
+                    temperature=temperature,
+                    max_new_tokens=max_new_tokens,
+                    max_token=max_tokens,
+                    call_agent=multi_agent,
+                    conversation=conversation,
+                    max_round=max_round
+                )
+
+                for update in generator:
+                    formatted_messages = []
+                    for m in update:
+                        role = m["role"] if isinstance(m, dict) else getattr(m, "role", "assistant")
+                        content = m["content"] if isinstance(m, dict) else getattr(m, "content", "")
+                        if role == "assistant":
+                            content = format_collapsible_response(content)
+                        formatted_messages.append({"role": role, "content": content})
+                    yield formatted_messages
+            except Exception as e:
+                print("⚠️ Error in chat handler:", e)
+                yield history + [{"role": "assistant", "content": f"An error occurred: {str(e)}"}]
+
+        # === Actions
         send_button.click(
             fn=handle_chat,
             inputs=[message_input, chatbot, temperature, max_new_tokens, max_tokens, multi_agent, conversation_state, max_round],
@@ -98,15 +99,13 @@ def create_ui(agent):
         )
 
         gr.Examples(examples=question_examples, inputs=message_input)
-
         gr.Markdown("**DISCLAIMER**: This demo is for research purposes only and does not provide medical advice.")
 
     return demo
 
-# === Startup
+# === Entry point
 if __name__ == "__main__":
     freeze_support()
-
     try:
         agent = TxAgent(
             model_name=model_name,
@@ -116,7 +115,7 @@ if __name__ == "__main__":
             enable_checker=True,
             step_rag_num=10,
             seed=100,
-            additional_default_tools=[]  # Removed DirectResponse/RequireClarification to avoid errors
+            additional_default_tools=[]  # Avoid broken tools
         )
         agent.init_model()
 
@@ -127,5 +126,5 @@ if __name__ == "__main__":
         demo.launch(show_error=True)
 
     except Exception as e:
-        print(f"❌ Application failed to start: {e}")
+        print(f"❌ Failed to launch app: {e}")
         raise