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import gradio as gr
import time
def bot_response(message, history):
print("\n=== Bot Response Function ===")
print(f"Received message: {message}")
history = history or []
# Regular message without metadata
msg = gr.ChatMessage(
role="assistant",
content="Let me help you analyze that..."
)
history.append(msg)
yield history
time.sleep(1)
# Tool execution with metadata
parent_id = "tool_call_1"
tool_msg = gr.ChatMessage(
role="assistant",
content="```python\nprint('Running analysis...')\n```",
metadata={
"title": "🛠️ Using Python Interpreter",
"id": parent_id,
"status": "pending"
}
)
history.append(tool_msg)
yield history
time.sleep(1)
# Regular message showing progress
progress_msg = gr.ChatMessage(
role="assistant",
content="Processing your request..."
)
history.append(progress_msg)
yield history
time.sleep(1)
# Execution result with metadata
execution_msg = gr.ChatMessage(
role="assistant",
content="Output: Analysis complete",
metadata={
"title": "📝 Execution Result",
"parent_id": parent_id,
"status": "pending"
}
)
history.append(execution_msg)
yield history
time.sleep(1)
# Update tool messages to done
tool_msg.metadata["status"] = "done"
execution_msg.metadata["status"] = "done"
yield history
# Final message without metadata
final_msg = gr.ChatMessage(
role="assistant",
content="Based on the analysis, I can confirm the process completed successfully."
)
history.append(final_msg)
yield history
with gr.Blocks() as demo:
chatbot = gr.Chatbot(
height=600,
group_consecutive_messages=False,
type="messages",
bubble_full_width=False
)
msg = gr.Textbox()
clear = gr.Button("Clear")
def user(user_message, history):
print("\n=== User Message Function ===")
print(f"User message: {user_message}")
if user_message.strip():
history.append(gr.ChatMessage(role="user", content=user_message))
return "", history
return "", history
msg.submit(
user,
[msg, chatbot],
[msg, chatbot]
).then(
bot_response,
[msg, chatbot],
chatbot
)
clear.click(lambda: None, None, chatbot, queue=False)
#demo.queue()
demo.launch(debug=True) |