Update app.py
Browse files
app.py
CHANGED
@@ -2,10 +2,10 @@ import os
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import json
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import logging
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import torch
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from txagent import TxAgent
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import gradio as gr
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from tooluniverse import ToolUniverse
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import warnings
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# Suppress specific warnings
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warnings.filterwarnings("ignore", category=UserWarning)
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@@ -28,6 +28,7 @@ logging.basicConfig(
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logger = logging.getLogger(__name__)
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def prepare_tool_files():
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os.makedirs("./data", exist_ok=True)
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if not os.path.exists(CONFIG["tool_files"]["new_tool"]):
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logger.info("Generating tool list using ToolUniverse...")
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@@ -37,7 +38,7 @@ def prepare_tool_files():
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json.dump(tools, f, indent=2)
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logger.info(f"Saved {len(tools)} tools to {CONFIG['tool_files']['new_tool']}")
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def safe_load_embeddings(filepath):
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"""Safely load embeddings with proper weights_only handling"""
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try:
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# First try with weights_only=True (secure mode)
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@@ -54,7 +55,7 @@ def patch_embedding_loading():
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original_load = ToolRAGModel.load_tool_desc_embedding
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def patched_load(self, tooluniverse):
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try:
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if not os.path.exists(CONFIG["embedding_filename"]):
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logger.error(f"Embedding file not found: {CONFIG['embedding_filename']}")
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@@ -64,7 +65,7 @@ def patch_embedding_loading():
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self.tool_desc_embedding = safe_load_embeddings(CONFIG["embedding_filename"])
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# Handle tool count mismatch
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tools = tooluniverse.
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current_count = len(tools)
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embedding_count = len(self.tool_desc_embedding)
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@@ -101,7 +102,8 @@ class TxAgentApp:
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self.agent = None
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self.is_initialized = False
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def initialize(self):
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if self.is_initialized:
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return "✅ Already initialized"
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@@ -111,8 +113,8 @@ class TxAgentApp:
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logger.info("Initializing TxAgent...")
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self.agent = TxAgent(
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CONFIG["model_name"],
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CONFIG["rag_model_name"],
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tool_files_dict=CONFIG["tool_files"],
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force_finish=True,
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enable_checker=True,
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@@ -131,36 +133,51 @@ class TxAgentApp:
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logger.error(f"Initialization failed: {str(e)}")
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return f"❌ Initialization failed: {str(e)}"
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def chat(self, message, history):
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if not self.is_initialized:
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return
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try:
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response = ""
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# Modified to use the correct parameter name (max_length instead of max_tokens)
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for chunk in self.agent.run_gradio_chat(
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message=message,
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history=
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temperature=0.3,
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max_new_tokens=1024,
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conversation=
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max_round=30
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):
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response
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# Format response
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return [
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{"role": "user", "content": message},
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{"role": "assistant", "content": response}
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]
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except Exception as e:
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logger.error(f"Chat error: {str(e)}")
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return
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def create_interface():
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app = TxAgentApp()
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with gr.Blocks(
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@@ -195,25 +212,23 @@ def create_interface():
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inputs=msg
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)
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def wrapper_initialize():
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status = app.initialize()
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return status, gr.update(interactive=False)
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def wrapper_chat(message, chat_history):
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response = app.chat(message, chat_history)
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if isinstance(response, dict): # Error case
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return chat_history + [response]
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return response # Normal case
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init_btn.click(
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fn=wrapper_initialize,
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outputs=[init_status, init_btn]
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)
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msg.submit(
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fn=
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inputs=[msg, chatbot],
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outputs=chatbot
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)
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clear_btn.click(
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import json
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import logging
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import torch
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import gradio as gr
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from tooluniverse import ToolUniverse
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import warnings
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from typing import List, Dict, Any
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# Suppress specific warnings
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warnings.filterwarnings("ignore", category=UserWarning)
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logger = logging.getLogger(__name__)
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def prepare_tool_files():
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"""Ensure tool files exist and are populated"""
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os.makedirs("./data", exist_ok=True)
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if not os.path.exists(CONFIG["tool_files"]["new_tool"]):
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logger.info("Generating tool list using ToolUniverse...")
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json.dump(tools, f, indent=2)
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logger.info(f"Saved {len(tools)} tools to {CONFIG['tool_files']['new_tool']}")
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def safe_load_embeddings(filepath: str) -> Any:
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"""Safely load embeddings with proper weights_only handling"""
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try:
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# First try with weights_only=True (secure mode)
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original_load = ToolRAGModel.load_tool_desc_embedding
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def patched_load(self, tooluniverse: ToolUniverse) -> bool:
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try:
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if not os.path.exists(CONFIG["embedding_filename"]):
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logger.error(f"Embedding file not found: {CONFIG['embedding_filename']}")
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self.tool_desc_embedding = safe_load_embeddings(CONFIG["embedding_filename"])
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# Handle tool count mismatch
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tools = tooluniverse.get_all_tools() # Use get_all_tools() instead of direct access
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current_count = len(tools)
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embedding_count = len(self.tool_desc_embedding)
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self.agent = None
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self.is_initialized = False
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def initialize(self) -> str:
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"""Initialize the TxAgent with all required components"""
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if self.is_initialized:
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return "✅ Already initialized"
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logger.info("Initializing TxAgent...")
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self.agent = TxAgent(
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model_name=CONFIG["model_name"],
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rag_model_name=CONFIG["rag_model_name"],
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tool_files_dict=CONFIG["tool_files"],
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force_finish=True,
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enable_checker=True,
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logger.error(f"Initialization failed: {str(e)}")
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return f"❌ Initialization failed: {str(e)}"
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def chat(self, message: str, history: List[List[str]]) -> List[List[str]]:
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"""
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Handle chat interactions with the TxAgent
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Args:
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message: User input message
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history: Chat history in format [[user_msg, bot_msg], ...]
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Returns:
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Updated chat history
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"""
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if not self.is_initialized:
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return history + [["", "⚠️ Please initialize the model first"]]
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try:
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# Convert history to the format TxAgent expects
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tx_history = []
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for user_msg, bot_msg in history:
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tx_history.append({"role": "user", "content": user_msg})
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if bot_msg: # Only add bot response if it exists
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tx_history.append({"role": "assistant", "content": bot_msg})
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# Generate response
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response = ""
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for chunk in self.agent.run_gradio_chat(
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message=message,
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history=tx_history,
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temperature=0.3,
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max_new_tokens=1024,
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max_token=8192, # Note: Using max_token instead of max_length
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call_agent=False,
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conversation=None,
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max_round=30
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):
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response = chunk # Get the final response
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# Format response for Gradio Chatbot
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return history + [[message, response]]
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except Exception as e:
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logger.error(f"Chat error: {str(e)}")
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return history + [["", f"Error: {str(e)}"]]
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def create_interface() -> gr.Blocks:
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"""Create the Gradio interface"""
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app = TxAgentApp()
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with gr.Blocks(
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inputs=msg
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)
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def wrapper_initialize() -> tuple:
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"""Wrapper for initialization with UI updates"""
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status = app.initialize()
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return status, gr.update(interactive=False)
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init_btn.click(
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fn=wrapper_initialize,
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outputs=[init_status, init_btn]
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)
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msg.submit(
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fn=app.chat,
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inputs=[msg, chatbot],
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outputs=chatbot
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).then(
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lambda: "", # Clear message box
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outputs=msg
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)
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clear_btn.click(
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