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