Update app.py

app.py

@@ -5,7 +5,6 @@ from multiprocessing import freeze_support
 import importlib
 import inspect
 import json
-from typing import Dict, List, Union
 
 # Fix path to include src
 sys.path.insert(0, os.path.join(os.path.dirname(__file__), "src"))
@@ -34,98 +33,11 @@ new_tool_files = {
 # Sample questions
 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?"],
-    ["What are the drug interactions between warfarin and ciprofloxacin?"]
+    ["What treatment options exist for HER2+ breast cancer resistant to trastuzumab?"]
 ]
 
-# Custom CSS for elegant design
-custom_css = """
-:root {
-    --primary-color: #4f46e5;
-    --secondary-color: #f9fafb;
-    --accent-color: #e5e7eb;
-    --text-color: #111827;
-    --border-radius: 8px;
-}
-
-body {
-    font-family: 'Inter', system-ui, -apple-system, sans-serif;
-}
-
-.dark body {
-    --secondary-color: #1f2937;
-    --text-color: #f9fafb;
-}
-
-.gradio-container {
-    max-width: 900px !important;
-    margin: 0 auto !important;
-}
-
-h1 {
-    color: var(--primary-color) !important;
-    font-weight: 600 !important;
-    margin-bottom: 1rem !important;
-}
-
-.chatbot {
-    min-height: 600px;
-    border-radius: var(--border-radius) !important;
-    box-shadow: 0 1px 3px rgba(0, 0, 0, 0.1) !important;
-}
-
-.textbox {
-    border-radius: var(--border-radius) !important;
-}
-
-.button-primary {
-    background: var(--primary-color) !important;
-    border-radius: var(--border-radius) !important;
-}
-
-.answer-panel {
-    background: var(--secondary-color) !important;
-    border-radius: var(--border-radius) !important;
-    padding: 16px !important;
-    margin-top: 8px !important;
-    border: 1px solid var(--accent-color) !important;
-}
-
-.answer-title {
-    font-weight: 600 !important;
-    color: var(--primary-color) !important;
-    margin-bottom: 8px !important;
-}
-
-.answer-content {
-    white-space: pre-wrap;
-    font-family: 'Roboto Mono', monospace;
-    font-size: 0.9em;
-    line-height: 1.5;
-}
-
-.settings-panel {
-    background: var(--secondary-color) !important;
-    border-radius: var(--border-radius) !important;
-    padding: 16px !important;
-    margin-bottom: 16px !important;
-    border: 1px solid var(--accent-color) !important;
-}
-
-.settings-title {
-    font-weight: 600 !important;
-    margin-bottom: 12px !important;
-    color: var(--text-color) !important;
-}
-
-.examples-panel {
-    margin-top: 16px !important;
-}
-"""
-
-# Helper: format assistant responses in elegant panels
-def format_response(content: Union[str, Dict, List]) -> str:
-    """Format the assistant's response in a structured, user-friendly way."""
+# Helper: format assistant responses in collapsible panels
+def format_collapsible(content):
     if isinstance(content, (dict, list)):
         try:
             formatted = json.dumps(content, indent=2)
@@ -133,106 +45,33 @@ def format_response(content: Union[str, Dict, List]) -> str:
             formatted = str(content)
     else:
         formatted = str(content)
-    
-    # Clean up common formatting issues
-    formatted = formatted.replace("\\n", "\n").replace("\\t", "\t")
-    
-    return (
-        f"<div class='answer-panel'>"
-        f"<div class='answer-title'>Detailed Response</div>"
-        f"<div class='answer-content'>{formatted}</div>"
-        f"</div>"
-    )
 
-# Helper: format tool calls in a structured way
-def format_tool_call(tool_name: str, parameters: Dict) -> str:
-    """Format tool calls for display in the chat."""
     return (
-        f"<div class='answer-panel' style='background: #f0f9ff;'>"
-        f"<div class='answer-title'>Tool Used: {tool_name}</div>"
-        f"<div class='answer-content'>Parameters: {json.dumps(parameters, indent=2)}</div>"
-        f"</div>"
+        "<details style='border: 1px solid #ccc; padding: 8px; margin-top: 8px;'>"
+        "<summary style='font-weight: bold;'>Answer</summary>"
+        f"<pre style='white-space: pre-wrap;'>{formatted}</pre>"
+        "</details>"
     )
 
 # === UI setup
-def create_ui(agent: TxAgent) -> gr.Blocks:
-    """Create the Gradio UI with elegant design and organized responses."""
-    with gr.Blocks(css=custom_css, theme=gr.themes.Default()) as demo:
-        # Header section
-        gr.Markdown(
-            """
-            <div style='text-align: center; margin-bottom: 24px;'>
-                <h1 style='margin-bottom: 8px;'>Therapeutic Decision Support</h1>
-                <p style='color: #6b7280;'>Get evidence-based answers to your biomedical questions with step-by-step reasoning</p>
-            </div>
-            """
-        )
-
-        # Settings panel
-        with gr.Accordion("⚙️ Advanced Settings", open=False):
-            with gr.Row():
-                temperature = gr.Slider(0, 1, value=0.3, label="Creativity", info="Higher values produce more creative outputs")
-                max_new_tokens = gr.Slider(128, 4096, value=1024, label="Max Response Length", step=128)
-            
-            with gr.Row():
-                max_tokens = gr.Slider(128, 32000, value=8192, label="Context Window", step=1024)
-                max_round = gr.Slider(1, 50, value=30, label="Max Reasoning Steps")
-            
-            multi_agent = gr.Checkbox(label="Enable Multi-agent Reasoning", value=False, info="Uses multiple specialized agents for complex questions")
-        
+def create_ui(agent):
+    with gr.Blocks() as demo:
+        gr.Markdown("<h1 style='text-align: center;'>TxAgent: Therapeutic Reasoning</h1>")
+        gr.Markdown("Ask biomedical or therapeutic questions. Powered by step-by-step reasoning and tools.")
+
+        temperature = gr.Slider(0, 1, value=0.3, label="Temperature")
+        max_new_tokens = gr.Slider(128, 4096, value=1024, label="Max New Tokens")
+        max_tokens = gr.Slider(128, 32000, value=8192, label="Max Total Tokens")
+        max_round = gr.Slider(1, 50, value=30, label="Max Rounds")
+        multi_agent = gr.Checkbox(label="Enable Multi-agent Reasoning", value=False)
         conversation_state = gr.State([])
 
-        # Chat interface
-        chatbot = gr.Chatbot(
-            label="Therapeutic Reasoning Chat",
-            height=600,
-            bubble_full_width=False,
-            avatar_images=(
-                "assets/user_avatar.png",  # User avatar
-                "assets/bot_avatar.png"    # Bot avatar
-            )
-        )
-        
-        with gr.Row():
-            message_input = gr.Textbox(
-                placeholder="Ask your biomedical question...",
-                show_label=False,
-                container=False,
-                autofocus=True,
-                lines=3,
-                max_lines=6
-            )
-            send_button = gr.Button("Send", variant="primary", size="lg")
-
-        # Examples section
-        gr.Examples(
-            examples=question_examples,
-            inputs=message_input,
-            label="💡 Example Questions",
-            examples_per_page=3
-        )
-
-        # Disclaimer
-        gr.Markdown(
-            """
-            <div style='text-align: center; margin-top: 24px; color: #6b7280; font-size: 0.9em;'>
-                <strong>Disclaimer</strong>: This tool is for research purposes only and does not constitute medical advice. 
-                Always consult a healthcare professional for medical decisions.
-            </div>
-            """
-        )
+        chatbot = gr.Chatbot(label="TxAgent", height=600, type="messages")
+        message_input = gr.Textbox(placeholder="Ask your biomedical question...", show_label=False)
+        send_button = gr.Button("Send", variant="primary")
 
         # Main handler
-        def handle_chat(
-            message: str, 
-            history: List, 
-            temperature: float, 
-            max_new_tokens: int, 
-            max_tokens: int, 
-            multi_agent: bool, 
-            conversation: List, 
-            max_round: int
-        ):
+        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,
@@ -249,29 +88,21 @@ def create_ui(agent: TxAgent) -> gr.Blocks:
                 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", "")
-                    
-                    # Format different types of messages appropriately
+
                     if role == "assistant":
-                        if "tool_name" in m:
-                            formatted.append({
-                                "role": role,
-                                "content": format_tool_call(m["tool_name"], m.get("parameters", {}))
-                            })
-                        else:
-                            formatted.append({
-                                "role": role,
-                                "content": format_response(content)
-                            })
-                    else:
-                        formatted.append({"role": role, "content": content})
-                
+                        content = format_collapsible(content)
+
+                    formatted.append({"role": role, "content": content})
                 yield formatted
 
-        # Event handlers
+        # Button and Enter triggers
         inputs = [message_input, chatbot, temperature, max_new_tokens, max_tokens, multi_agent, conversation_state, max_round]
         send_button.click(fn=handle_chat, inputs=inputs, outputs=chatbot)
         message_input.submit(fn=handle_chat, inputs=inputs, outputs=chatbot)
 
+        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
 
 # === Entry point
@@ -279,7 +110,6 @@ if __name__ == "__main__":
     freeze_support()
 
     try:
-        # Initialize the agent
         agent = TxAgent(
             model_name=model_name,
             rag_model_name=rag_model_name,
@@ -288,22 +118,16 @@ if __name__ == "__main__":
             enable_checker=True,
             step_rag_num=10,
             seed=100,
-            additional_default_tools=[]
+            additional_default_tools=[]  # Avoid loading unimplemented tools
         )
         agent.init_model()
 
         if not hasattr(agent, "run_gradio_chat"):
             raise AttributeError("TxAgent missing run_gradio_chat")
 
-        # Create and launch the UI
         demo = create_ui(agent)
-        demo.launch(
-            server_name="0.0.0.0",
-            server_port=7860,
-            show_error=True,
-            favicon_path="assets/favicon.ico"
-        )
+        demo.launch(server_name="0.0.0.0", server_port=7860, show_error=True)
 
     except Exception as e:
-        print(f"❌ Application failed to start: {e}")
-        raise
+        print(f"❌ App failed to start: {e}")
+        raise