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import os
import gradio as gr
from huggingface_hub import login
from smolagents import DuckDuckGoSearchTool, ToolCallingAgent, InferenceClientModel
login(os.environ.get('HF_TOKEN'))
def create_agent():
tools = [DuckDuckGoSearchTool()]
model = InferenceClientModel("Qwen/Qwen2.5-72B-Instruct")
return ToolCallingAgent(tools=tools, model=model, add_base_tools=True)
def respond(
message,
history: list[dict[str, str]],
system_message,
max_tokens,
temperature,
top_p
):
agent = create_agent()
full_prompt = f"{system_message}\n\nChat history:\n{history}\n\nUser: {message}"
response = agent.run(full_prompt, stream=False)
yield response
"""
For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
"""
chatbot = gr.ChatInterface(
respond,
type="messages",
additional_inputs=[],
)
with gr.Blocks() as demo:
chatbot.render()
if __name__ == "__main__":
demo.launch()
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