37 lines
1.1 KiB
Python
37 lines
1.1 KiB
Python
# coding=utf-8
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# Implements user interface in browser for fine-tuned models.
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# Usage: python web_demo.py --model_name_or_path path_to_model --checkpoint_dir path_to_checkpoint
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import gradio as gr
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from transformers.utils.versions import require_version
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from llmtuner.tuner import get_infer_args
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from llmtuner.webui.chat import WebChatModel
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from llmtuner.webui.components.chatbot import create_chat_box
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from llmtuner.webui.manager import Manager
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require_version("gradio>=3.36.0", "To fix: pip install gradio>=3.36.0")
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def main():
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chat_model = WebChatModel(*get_infer_args())
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with gr.Blocks(title="Web Demo") as demo:
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lang = gr.Dropdown(choices=["en", "zh"], value="en")
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_, _, _, chat_elems = create_chat_box(chat_model, visible=True)
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manager = Manager([{"lang": lang}, chat_elems])
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demo.load(manager.gen_label, [lang], [lang] + list(chat_elems.values()))
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lang.change(manager.gen_label, [lang], [lang] + list(chat_elems.values()))
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demo.queue()
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demo.launch(server_name="0.0.0.0", server_port=7860, share=False, inbrowser=True)
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if __name__ == "__main__":
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main()
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