Update app.py

app.py

@@ -6,15 +6,16 @@ from multiprocessing import freeze_support
 import importlib
 import inspect
 
-# === Fix import path BEFORE loading TxAgent
+# === Path fix
 sys.path.insert(0, os.path.join(os.path.dirname(os.path.abspath(__file__)), "src"))
 
-# === Reload to avoid stale cache
+# === Reload to avoid stale module
 import txagent.txagent
 importlib.reload(txagent.txagent)
 from txagent.txagent import TxAgent
+from gradio import ChatMessage
 
-# === Debug confirmation
+# === Debug
 print(">>> TxAgent loaded from:", inspect.getfile(TxAgent))
 print(">>> TxAgent has run_gradio_chat:", hasattr(TxAgent, "run_gradio_chat"))
 
@@ -23,40 +24,28 @@ current_dir = os.path.dirname(os.path.abspath(__file__))
 os.environ["MKL_THREADING_LAYER"] = "GNU"
 os.environ["TOKENIZERS_PARALLELISM"] = "false"
 
-# === UI Text
+# === UI text
 DESCRIPTION = '''
-<div>
-<h1 style="text-align: center;">TxAgent: An AI Agent for Therapeutic Reasoning Across a Universe of Tools</h1>
-</div>
+<h1 style="text-align: center;">TxAgent: AI for Therapeutic Reasoning</h1>
 '''
-INTRO = "Precision therapeutics require multimodal adaptive models..."
-LICENSE = "DISCLAIMER: THIS WEBSITE DOES NOT PROVIDE MEDICAL ADVICE..."
-
-css = """
-h1 { text-align: center; }
-.gradio-accordion { margin-top: 0 !important; margin-bottom: 0 !important; }
-"""
-chat_css = """
-.gr-button { font-size: 18px !important; }
-.gr-button svg { width: 26px !important; height: 26px !important; }
-"""
-
-# === Model setup
+INTRO = "Ask biomedical or therapeutic questions. Results are powered by tools and reasoning."
+LICENSE = "DISCLAIMER: THIS WEBSITE DOES NOT PROVIDE MEDICAL ADVICE."
+
+# === Model & tool config
 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")
 }
 
-# === Sample prompts
 question_examples = [
-    ["Given a 50-year-old patient experiencing severe acute pain and considering the use of the newly approved medication, Journavx, how should the dosage be adjusted considering moderate hepatic impairment?"],
-    ["A 30-year-old patient is on Prozac for depression and now diagnosed with WHIM syndrome. Is Xolremdi suitable?"]
+    ["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?"]
 ]
 
-# === UI
+# === Gradio UI
 def create_ui(agent):
-    with gr.Blocks(css=css) as demo:
+    with gr.Blocks() as demo:
         gr.Markdown(DESCRIPTION)
         gr.Markdown(INTRO)
 
@@ -67,13 +56,12 @@ def create_ui(agent):
         multi_agent = gr.Checkbox(label="Enable Multi-agent Reasoning", value=False)
         conversation_state = gr.State([])
 
-        chatbot = gr.Chatbot(label="TxAgent", height=700, type="messages")
+        chatbot = gr.Chatbot(label="TxAgent", height=600, type="messages")
         message_input = gr.Textbox(placeholder="Ask a biomedical question...", show_label=False)
-
         send_btn = gr.Button("Send", variant="primary")
 
-        # === Streaming handler
         def handle_chat(message, history, temperature, max_new_tokens, max_tokens, multi_agent, conversation, max_round):
+            # Ensure response is a generator that yields list of {role, content} dictionaries
             return agent.run_gradio_chat(
                 message=message,
                 history=history,
@@ -85,20 +73,18 @@ def create_ui(agent):
                 max_round=max_round
             )
 
-        # === Submit handlers
         send_btn.click(
             fn=handle_chat,
             inputs=[message_input, chatbot, temperature, max_new_tokens, max_tokens, multi_agent, conversation_state, max_round],
-            outputs=chatbot,
+            outputs=chatbot
         )
 
         message_input.submit(
             fn=handle_chat,
             inputs=[message_input, chatbot, temperature, max_new_tokens, max_tokens, multi_agent, conversation_state, max_round],
-            outputs=chatbot,
+            outputs=chatbot
         )
 
-        # === Example buttons
         gr.Examples(
             examples=question_examples,
             inputs=message_input
@@ -108,7 +94,7 @@ def create_ui(agent):
 
     return demo
 
-# === App start
+# === App startup
 if __name__ == "__main__":
     freeze_support()
     try:
@@ -124,12 +110,12 @@ if __name__ == "__main__":
         )
         agent.init_model()
 
-        if not hasattr(agent, 'run_gradio_chat'):
-            raise AttributeError("TxAgent is missing `run_gradio_chat`. Make sure the correct txagent.py is used.")
+        if not hasattr(agent, "run_gradio_chat"):
+            raise AttributeError("❌ TxAgent is missing `run_gradio_chat`.")
 
         demo = create_ui(agent)
         demo.launch(show_error=True)
 
     except Exception as e:
-        print(f"🚨 App failed to start: {e}")
+        print(f"🚨 Startup error: {e}")
         raise