Update app.py

app.py

@@ -6,25 +6,24 @@ from multiprocessing import freeze_support
 import importlib
 import inspect
 
-# === Fix: Add src directory to import path BEFORE importing anything else
+# === Fix import path BEFORE loading TxAgent
 sys.path.insert(0, os.path.join(os.path.dirname(os.path.abspath(__file__)), "src"))
 
-# === Reload to avoid stale imports in Hugging Face
+# === Reload to avoid stale cache
 import txagent.txagent
 importlib.reload(txagent.txagent)
 from txagent.txagent import TxAgent
 
-# === Debug: Confirm we're loading the right class
+# === Debug confirmation
 print(">>> TxAgent loaded from:", inspect.getfile(TxAgent))
 print(">>> TxAgent has run_gradio_chat:", hasattr(TxAgent, "run_gradio_chat"))
-print(">>> TxAgent methods:", [m for m in dir(TxAgent) if not m.startswith("_")])
 
-# === Environment setup
+# === Env vars
 current_dir = os.path.dirname(os.path.abspath(__file__))
 os.environ["MKL_THREADING_LAYER"] = "GNU"
 os.environ["TOKENIZERS_PARALLELISM"] = "false"
 
-# === UI constants
+# === UI Text
 DESCRIPTION = '''
 <div>
 <h1 style="text-align: center;">TxAgent: An AI Agent for Therapeutic Reasoning Across a Universe of Tools</h1>
@@ -32,44 +31,30 @@ DESCRIPTION = '''
 '''
 INTRO = "Precision therapeutics require multimodal adaptive models..."
 LICENSE = "DISCLAIMER: THIS WEBSITE DOES NOT PROVIDE MEDICAL ADVICE..."
-PLACEHOLDER = '''
-<div style="padding: 30px; text-align: center;">
-   <h1 style="font-size: 28px; margin-bottom: 2px; opacity: 0.55;">TxAgent</h1>
-   <p style="font-size: 18px;">Click clear 🗑️ before asking a new question.</p>
-   <p style="font-size: 18px;">Click retry 🔄 to see another answer.</p>
-</div>
-'''
+
 css = """
 h1 { text-align: center; }
-#duplicate-button {
-  margin: auto;
-  color: white;
-  background: #1565c0;
-  border-radius: 100vh;
-}
-.gradio-accordion {
-    margin-top: 0px !important;
-    margin-bottom: 0px !important;
-}
+.gradio-accordion { margin-top: 0 !important; margin-bottom: 0 !important; }
 """
 chat_css = """
-.gr-button { font-size: 20px !important; }
-.gr-button svg { width: 32px !important; height: 32px !important; }
+.gr-button { font-size: 18px !important; }
+.gr-button svg { width: 26px !important; height: 26px !important; }
 """
 
-# === Model and tool config
+# === Model setup
 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?"]
 ]
 
-# === UI constructor
+# === UI
 def create_ui(agent):
     with gr.Blocks(css=css) as demo:
         gr.Markdown(DESCRIPTION)
@@ -82,16 +67,13 @@ def create_ui(agent):
         multi_agent = gr.Checkbox(label="Enable Multi-agent Reasoning", value=False)
         conversation_state = gr.State([])
 
-        chatbot = gr.Chatbot(
-            label="TxAgent",
-            placeholder=PLACEHOLDER,
-            height=700,
-            type="messages",
-            show_copy_button=True
-        )
+        chatbot = gr.Chatbot(label="TxAgent", height=700)
+        message_input = gr.Textbox(placeholder="Ask a biomedical question...", show_label=False)
 
-        # === Chat handler
-        async def handle_chat(message, history, temperature, max_new_tokens, max_tokens, multi_agent, conversation, max_round):
+        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):
             return agent.run_gradio_chat(
                 message=message,
                 history=history,
@@ -103,52 +85,32 @@ def create_ui(agent):
                 max_round=max_round
             )
 
-        # === Retry handler
-        async def handle_retry(history, retry_data, temperature, max_new_tokens, max_tokens, multi_agent, conversation, max_round):
-            agent.update_parameters(seed=random.randint(0, 10000))
-            new_history = history[:retry_data.index]
-            prompt = history[retry_data.index]["content"]
-            return agent.run_gradio_chat(
-                message=prompt,
-                history=new_history,
-                temperature=temperature,
-                max_new_tokens=max_new_tokens,
-                max_token=max_tokens,
-                call_agent=multi_agent,
-                conversation=conversation,
-                max_round=max_round
-            )
-
-        # === Retry button config
-        chatbot.retry(
-            handle_retry,
-            inputs=[chatbot, chatbot, temperature, max_new_tokens, max_tokens, multi_agent, conversation_state, max_round],
-            outputs=chatbot
+        # === 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,
         )
 
-        # === Main interface
-        gr.ChatInterface(
+        message_input.submit(
             fn=handle_chat,
-            chatbot=chatbot,
-            additional_inputs=[
-                temperature, max_new_tokens, max_tokens,
-                multi_agent, conversation_state, max_round
-            ],
+            inputs=[message_input, chatbot, temperature, max_new_tokens, max_tokens, multi_agent, conversation_state, max_round],
+            outputs=chatbot,
+        )
+
+        # === Example buttons
+        gr.Examples(
             examples=question_examples,
-            css=chat_css,
-            cache_examples=False,
-            fill_height=True,
-            fill_width=True,
-            stop_btn=True
+            inputs=message_input
         )
 
         gr.Markdown(LICENSE)
+
     return demo
 
 # === App start
 if __name__ == "__main__":
     freeze_support()
-
     try:
         agent = TxAgent(
             model_name=model_name,
@@ -163,11 +125,11 @@ if __name__ == "__main__":
         agent.init_model()
 
         if not hasattr(agent, 'run_gradio_chat'):
-            raise AttributeError("TxAgent is missing `run_gradio_chat`. Make sure txagent.py is up to date.")
+            raise AttributeError("TxAgent is missing `run_gradio_chat`. Make sure the correct txagent.py is used.")
 
         demo = create_ui(agent)
         demo.launch(show_error=True)
 
     except Exception as e:
-        print(f"🚨 Application failed to start: {e}")
+        print(f"🚨 App failed to start: {e}")
         raise