29 lines
1.0 KiB
Python
29 lines
1.0 KiB
Python
from agents import stream_to_gradio, HfApiEngine, load_tool, CodeAgent
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image_generation_tool = load_tool("m-ric/text-to-image")
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llm_engine = HfApiEngine("Qwen/Qwen2.5-72B-Instruct")
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agent = CodeAgent(tools=[image_generation_tool], llm_engine=llm_engine)
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import gradio as gr
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def interact_with_agent(prompt, messages):
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messages.append(gr.ChatMessage(role="user", content=prompt))
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yield messages
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for msg in stream_to_gradio(agent, task=prompt, reset_agent_memory=False):
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messages.append(msg)
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yield messages
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yield messages
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with gr.Blocks() as demo:
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stored_message = gr.State([])
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chatbot = gr.Chatbot(label="Agent",
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type="messages",
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avatar_images=(None, "https://em-content.zobj.net/source/twitter/53/robot-face_1f916.png"))
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text_input = gr.Textbox(lines=1, label="Chat Message")
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text_input.submit(lambda s: (s, ""), [text_input], [stored_message, text_input]).then(interact_with_agent, [stored_message, chatbot], [chatbot])
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demo.launch() |