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import numpy as np |
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import gradio as gr |
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def flip_text(x): |
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return x[::-1] |
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def extract_qa(question): |
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""" |
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抽取式qa |
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""" |
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return question |
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def flip_image(x): |
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return np.fliplr(x) |
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with gr.Blocks() as demo: |
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gr.Markdown(""" |
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# 自研大语言模型DEMO |
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- 抽取式QA |
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- 小区测评 |
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""") |
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with gr.Tab("抽取式QA"): |
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text_input = gr.Textbox(label="输入",placeholder="默认值") |
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gr.Examples(["出租出去的房屋家电坏了，应该谁负责出维修费用？", "退租房东不还押金怎么办？"], inputs=text_input) |
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text_button = gr.Button("提交") |
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text_output = gr.Textbox(label="输出") |
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with gr.Tab("小区测评"): |
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text_input = gr.Textbox(label="输入",placeholder="默认值") |
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gr.Examples(["出租出去的房屋家电坏了，应该谁负责出维修费用？", "退租房东不还押金怎么办？"], inputs=text_input) |
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text_button = gr.Button("提交") |
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text_output = gr.Textbox(label="输出") |
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with gr.Tab("图像测试"): |
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with gr.Row(): |
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image_input = gr.Image() |
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image_output = gr.Image() |
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image_button = gr.Button("翻转") |
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with gr.Accordion("备注"): |
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gr.Markdown("DEMO基于算法组自研大语言模型") |
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text_button.click(extract_qa, inputs=text_input, outputs=text_output) |
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image_button.click(flip_image, inputs=image_input, outputs=image_output) |
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demo.launch() |
