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app.py
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import numpy as np
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import gradio as gr
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import
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from BERT_inference import BertClassificationModel
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# css = ".output {min-height: 500px}"
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with gr.Blocks(css = ".output {min-height: 500px}") as demo:
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#用markdown语法编辑输出一段话
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gr.Markdown("# 文本分类系统")
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gr.Markdown("请选择要输入的文件或填入文本")
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topic_num = gr.Number(label="主题个数")
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max_length = gr.Number(label="摘要最大长度")
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with gr.Tabs():
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with gr.Tab("文本输入"):
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text_input = gr.TextArea(lines=10)
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text_button = gr.Button("生成")
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with gr.Tab("文件输入"):
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gr.Markdown("目前支持的格式有PDF、Word、txt")
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file_input = gr.File(file_types=["text", ".pdf", ".docx"])
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file_button = gr.Button("生成")
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# 设置tab选项卡
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with gr.Tabs():
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with gr.Tab("分类页"):
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text_keys_output = gr.TextArea(lines=30)
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with gr.Tab("摘要页",):
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#Blocks特有组件,设置所有子组件按水平排列
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text_ab_output = gr.TextArea(lines=30)
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with gr.Tab("下载页"):
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file_txt_output = gr.File(label="txt格式")
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file_docx_output = gr.File(label="docx格式")
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file_pdf_output = gr.File(label="pdf格式")
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# with gr.Accordion("Open for More!"):
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# gr.Markdown("Look at me...")
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text_button.click(textInput.text_dump_to_lines, inputs=[text_input,topic_num,max_length], outputs=[text_keys_output,text_ab_output,file_txt_output,file_docx_output,file_pdf_output])
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file_button.click(textInput.file_dump_to_lines,inputs=[file_input,topic_num,max_length], outputs=[text_keys_output,text_ab_output,file_txt_output,file_docx_output,file_pdf_output])
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try:
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demo.queue().launch()
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except Exception as e:
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print("error",e)
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import gradio as gr
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import time
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def to_black(text):
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time.sleep(2)
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output = "hahah"
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return output
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interface = gr.Interface(fn=to_black, inputs="text", outputs="text")
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interface.queue().launch()
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