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import gradio as gr
def respond(msg, history, *args):
return "response"
demo = gr.ChatInterface(
respond,
additional_inputs=[
gr.Dropdown([
'Meta-Llama-3-70B-Instruct-Q3_K_M.gguf',
'gemma-2-27b-it-Q8_0.gguf'
],
value="gemma-2-27b-it-Q8_0.gguf",
label="Model"
),
gr.Textbox(value="You are a helpful assistant.", label="System message"),
gr.Slider(minimum=1, maximum=4096, value=2048, step=1, label="Max tokens"),
],
description="Llama-cpp-agent: Chat multi llm selection",
chatbot=gr.Chatbot(
scale=1,
placeholder="PLACEHOLDER",
show_copy_button=True
)
)
demo.launch() |