mirror of
https://github.com/hiyouga/LLaMA-Factory.git
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59 lines
1.5 KiB
Python
59 lines
1.5 KiB
Python
import gradio as gr
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from transformers.utils.versions import require_version
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from llmtuner.webui.components import (
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create_top,
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create_sft_tab,
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create_eval_tab,
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create_infer_tab,
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create_export_tab
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)
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from llmtuner.webui.css import CSS
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from llmtuner.webui.manager import Manager
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from llmtuner.webui.runner import Runner
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require_version("gradio>=3.36.0", "To fix: pip install gradio>=3.36.0")
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def create_ui() -> gr.Blocks:
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runner = Runner()
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with gr.Blocks(title="Web Tuner", css=CSS) as demo:
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top_elems = create_top()
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with gr.Tab("SFT"):
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sft_elems = create_sft_tab(top_elems, runner)
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with gr.Tab("Evaluate"):
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eval_elems = create_eval_tab(top_elems, runner)
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with gr.Tab("Chat"):
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infer_elems = create_infer_tab(top_elems)
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with gr.Tab("Export"):
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export_elems = create_export_tab(top_elems)
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elem_list = [top_elems, sft_elems, eval_elems, infer_elems, export_elems]
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manager = Manager(elem_list)
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demo.load(
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manager.gen_label,
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[top_elems["lang"]],
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[elem for elems in elem_list for elem in elems.values()],
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)
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top_elems["lang"].change(
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manager.gen_label,
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[top_elems["lang"]],
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[elem for elems in elem_list for elem in elems.values()],
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)
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return demo
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if __name__ == "__main__":
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demo = create_ui()
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demo.queue()
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demo.launch(server_name="0.0.0.0", share=False, inbrowser=True)
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