app.py

import os
import sys
import gradio as gr
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"))

# Reload TxAgent from txagent.py
import txagent.txagent
importlib.reload(txagent.txagent)
from txagent.txagent import TxAgent

# Debug info
print(">>> TxAgent loaded from:", inspect.getfile(TxAgent))
print(">>> TxAgent has run_gradio_chat:", hasattr(TxAgent, "run_gradio_chat"))

# Env vars
current_dir = os.path.abspath(os.path.dirname(__file__))
os.environ["MKL_THREADING_LAYER"] = "GNU"
os.environ["TOKENIZERS_PARALLELISM"] = "false"

# Model 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 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?"]
]

# 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."""
    if isinstance(content, (dict, list)):
        try:
            formatted = json.dumps(content, indent=2)
        except Exception:
            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>"
    )

# === 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")
        
        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>
            """
        )

        # 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
        ):
            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 = []
                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})
                
                yield formatted

        # Event handlers
        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)

    return demo

# === Entry point
if __name__ == "__main__":
    freeze_support()

    try:
        # Initialize the agent
        agent = TxAgent(
            model_name=model_name,
            rag_model_name=rag_model_name,
            tool_files_dict=new_tool_files,
            force_finish=True,
            enable_checker=True,
            step_rag_num=10,
            seed=100,
            additional_default_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"
        )

    except Exception as e:
        print(f"❌ Application failed to start: {e}")
        raise