Update app.py
Browse files
app.py
CHANGED
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@@ -3,36 +3,35 @@ import sys
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import random
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import gradio as gr
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from multiprocessing import freeze_support
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#
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sys.path.insert(0, os.path.join(os.path.dirname(os.path.abspath(__file__)), "src"))
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#
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import importlib
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import txagent.txagent
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importlib.reload(txagent.txagent)
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from txagent.txagent import TxAgent
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#
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import inspect
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print(">>> TxAgent loaded from:", inspect.getfile(TxAgent))
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print(">>> TxAgent has run_gradio_chat:", hasattr(TxAgent, "run_gradio_chat"))
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# === Environment setup
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current_dir = os.path.dirname(os.path.abspath(__file__))
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os.environ["MKL_THREADING_LAYER"] = "GNU"
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os.environ["TOKENIZERS_PARALLELISM"] = "false"
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# === UI constants
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DESCRIPTION = '''
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<div>
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<h1 style="text-align: center;">TxAgent: An AI Agent for Therapeutic Reasoning Across a Universe of Tools</h1>
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</div>
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'''
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INTRO = "Precision therapeutics require multimodal adaptive models..."
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LICENSE = "DISCLAIMER: THIS WEBSITE DOES NOT PROVIDE MEDICAL ADVICE..."
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PLACEHOLDER = '''
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<div style="padding: 30px; text-align: center;">
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<h1 style="font-size: 28px; margin-bottom: 2px; opacity: 0.55;">TxAgent</h1>
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@@ -40,7 +39,6 @@ PLACEHOLDER = '''
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<p style="font-size: 18px;">Click retry π to see another answer.</p>
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</div>
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'''
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css = """
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h1 { text-align: center; }
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#duplicate-button {
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@@ -54,13 +52,12 @@ h1 { text-align: center; }
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margin-bottom: 0px !important;
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}
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"""
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chat_css = """
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.gr-button { font-size: 20px !important; }
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.gr-button svg { width: 32px !important; height: 32px !important; }
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"""
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# === Model and tool config
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model_name = "mims-harvard/TxAgent-T1-Llama-3.1-8B"
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rag_model_name = "mims-harvard/ToolRAG-T1-GTE-Qwen2-1.5B"
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new_tool_files = {
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@@ -72,6 +69,7 @@ question_examples = [
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["A 30-year-old patient is on Prozac for depression and now diagnosed with WHIM syndrome. Is Xolremdi suitable?"]
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]
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def create_ui(agent):
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with gr.Blocks(css=css) as demo:
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gr.Markdown(DESCRIPTION)
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@@ -92,9 +90,9 @@ def create_ui(agent):
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show_copy_button=True
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)
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# === Chat handler
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async def handle_chat(message, history, temperature, max_new_tokens, max_tokens, multi_agent, conversation, max_round):
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message=message,
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history=history,
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temperature=temperature,
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@@ -104,14 +102,13 @@ def create_ui(agent):
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conversation=conversation,
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max_round=max_round
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)
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return response
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# === Retry handler
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async def handle_retry(history, retry_data, temperature, max_new_tokens, max_tokens, multi_agent, conversation, max_round):
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agent.update_parameters(seed=random.randint(0, 10000))
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new_history = history[:retry_data.index]
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prompt = history[retry_data.index]["content"]
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return
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message=prompt,
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history=new_history,
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temperature=temperature,
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@@ -122,14 +119,14 @@ def create_ui(agent):
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max_round=max_round
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)
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#
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chatbot.retry(
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handle_retry,
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inputs=[chatbot, chatbot, temperature, max_new_tokens, max_tokens, multi_agent, conversation_state, max_round],
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outputs=chatbot
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)
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# ===
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gr.ChatInterface(
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fn=handle_chat,
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chatbot=chatbot,
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@@ -148,14 +145,14 @@ def create_ui(agent):
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gr.Markdown(LICENSE)
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return demo
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if __name__ == "__main__":
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freeze_support()
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try:
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# Initialize agent
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agent = TxAgent(
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model_name,
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rag_model_name,
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tool_files_dict=new_tool_files,
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force_finish=True,
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enable_checker=True,
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@@ -164,15 +161,13 @@ if __name__ == "__main__":
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additional_default_tools=["DirectResponse", "RequireClarification"]
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)
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agent.init_model()
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# Verify the agent has the required method
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if not hasattr(agent, 'run_gradio_chat'):
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raise AttributeError("
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# Create and launch UI
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demo = create_ui(agent)
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demo.launch(show_error=True)
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except Exception as e:
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print(f"Application failed to start: {
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raise
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import random
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import gradio as gr
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from multiprocessing import freeze_support
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import importlib
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import inspect
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# === Fix: Add src directory to import path BEFORE importing anything else
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sys.path.insert(0, os.path.join(os.path.dirname(os.path.abspath(__file__)), "src"))
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# === Reload to avoid stale imports in Hugging Face
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import txagent.txagent
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importlib.reload(txagent.txagent)
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from txagent.txagent import TxAgent
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# === Debug: Confirm we're loading the right class
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print(">>> TxAgent loaded from:", inspect.getfile(TxAgent))
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print(">>> TxAgent has run_gradio_chat:", hasattr(TxAgent, "run_gradio_chat"))
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print(">>> TxAgent methods:", [m for m in dir(TxAgent) if not m.startswith("_")])
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# === Environment setup
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current_dir = os.path.dirname(os.path.abspath(__file__))
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os.environ["MKL_THREADING_LAYER"] = "GNU"
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os.environ["TOKENIZERS_PARALLELISM"] = "false"
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# === UI constants
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DESCRIPTION = '''
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<div>
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<h1 style="text-align: center;">TxAgent: An AI Agent for Therapeutic Reasoning Across a Universe of Tools</h1>
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</div>
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'''
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INTRO = "Precision therapeutics require multimodal adaptive models..."
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LICENSE = "DISCLAIMER: THIS WEBSITE DOES NOT PROVIDE MEDICAL ADVICE..."
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PLACEHOLDER = '''
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<div style="padding: 30px; text-align: center;">
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<h1 style="font-size: 28px; margin-bottom: 2px; opacity: 0.55;">TxAgent</h1>
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<p style="font-size: 18px;">Click retry π to see another answer.</p>
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</div>
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'''
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css = """
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h1 { text-align: center; }
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#duplicate-button {
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margin-bottom: 0px !important;
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}
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"""
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chat_css = """
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.gr-button { font-size: 20px !important; }
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.gr-button svg { width: 32px !important; height: 32px !important; }
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"""
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# === Model and tool config
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model_name = "mims-harvard/TxAgent-T1-Llama-3.1-8B"
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rag_model_name = "mims-harvard/ToolRAG-T1-GTE-Qwen2-1.5B"
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new_tool_files = {
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["A 30-year-old patient is on Prozac for depression and now diagnosed with WHIM syndrome. Is Xolremdi suitable?"]
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]
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# === UI constructor
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def create_ui(agent):
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with gr.Blocks(css=css) as demo:
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gr.Markdown(DESCRIPTION)
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show_copy_button=True
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)
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# === Chat handler
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async def handle_chat(message, history, temperature, max_new_tokens, max_tokens, multi_agent, conversation, max_round):
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return agent.run_gradio_chat(
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message=message,
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history=history,
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temperature=temperature,
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conversation=conversation,
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max_round=max_round
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)
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# === Retry handler
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async def handle_retry(history, retry_data, temperature, max_new_tokens, max_tokens, multi_agent, conversation, max_round):
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agent.update_parameters(seed=random.randint(0, 10000))
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new_history = history[:retry_data.index]
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prompt = history[retry_data.index]["content"]
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return agent.run_gradio_chat(
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message=prompt,
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history=new_history,
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temperature=temperature,
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max_round=max_round
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)
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# === Retry button config
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chatbot.retry(
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handle_retry,
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inputs=[chatbot, chatbot, temperature, max_new_tokens, max_tokens, multi_agent, conversation_state, max_round],
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outputs=chatbot
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)
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# === Main interface
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gr.ChatInterface(
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fn=handle_chat,
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chatbot=chatbot,
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gr.Markdown(LICENSE)
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return demo
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# === App start
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if __name__ == "__main__":
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freeze_support()
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try:
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agent = TxAgent(
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model_name=model_name,
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rag_model_name=rag_model_name,
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tool_files_dict=new_tool_files,
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force_finish=True,
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enable_checker=True,
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additional_default_tools=["DirectResponse", "RequireClarification"]
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)
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agent.init_model()
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if not hasattr(agent, 'run_gradio_chat'):
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raise AttributeError("TxAgent is missing `run_gradio_chat`. Make sure txagent.py is up to date.")
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demo = create_ui(agent)
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demo.launch(show_error=True)
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except Exception as e:
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print(f"π¨ Application failed to start: {e}")
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raise
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