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import gradio as gr
from model import ModelServe
model = ModelServe(load_8bit=False)
demo = gr.Interface(
fn=model.generate,
inputs=[
gr.components.Textbox(
lines=2, label="Instruction", placeholder="Tell me about alpacas."
),
gr.components.Textbox(lines=2, label="Input", placeholder="none"),
gr.components.Slider(minimum=0, maximum=1, value=0.1, label="Temperature"),
gr.components.Slider(minimum=0, maximum=1, value=0.75, label="Top p"),
gr.components.Slider(
minimum=0, maximum=100, step=1, value=40, label="Top k"
),
gr.components.Slider(minimum=1, maximum=4, step=1, value=4, label="Beams"),
gr.components.Slider(
minimum=1, maximum=2000, step=1, value=128, label="Max tokens"
),
],
outputs=[
gr.Textbox(
lines=5,
label="Output",
)
],
title="🦙🌲 Alpaca-7B-Chinese",
description="Alpaca-7B-Chinese is a 7B-parameter LLaMA model finetuned to follow instructions.",
)
#demo.queue(concurrency_count=3)
demo.queue()
demo.launch()
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