Spaces:
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weiwei1392
commited on
Commit
·
e1efbcb
1
Parent(s):
12a8e81
优化交互界面
Browse files
app.py
CHANGED
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@@ -72,7 +72,9 @@ def update_material_and_skill(_publisher, _semester, _unit, _material_type):
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_skills = list(set(df['能指']))
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_skills.sort()
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return gr.inputs.
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def update_question_class(_material_type, _skill):
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@@ -81,7 +83,9 @@ def update_question_class(_material_type, _skill):
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_question_class = list(set(df['一级题型']))
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_question_class.sort()
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return gr.inputs.Dropdown.update(choices=_question_class)
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def update_question_type(_material_type, _skill, _question_class):
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@@ -95,10 +99,12 @@ def update_question_type(_material_type, _skill, _question_class):
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def update_question_example(_question_type):
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def generate_questions(_model_mode, _material, _question_type, _question_num, _chatbot):
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@@ -145,30 +151,29 @@ with gr.Blocks(css=block_css) as demo:
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publishers = list(set(kg['教材']))
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publishers.sort()
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publisher = gr.inputs.Dropdown(label="版本", choices=publishers)
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semester = gr.inputs.Dropdown(label="学期", choices=[])
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publisher.change(update_semesters, inputs=[publisher], outputs=[semester])
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unit = gr.inputs.Dropdown(label="单元", choices=[])
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semester.change(update_units, inputs=[publisher, semester], outputs=[unit])
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material_type = gr.Radio(['词汇', '短语', '句子', '语法'], label="出题材料类型")
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material = gr.CheckboxGroup([], label="出题材料")
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skill = gr.Radio([], label="考察能力")
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material_type.change(update_material_and_skill, inputs=[publisher, semester, unit, material_type],
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outputs=[material, skill])
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question_class = gr.Radio([], label="题类")
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question_class.change(update_question_type, inputs=[material_type, skill, question_class],
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outputs=[question_type])
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question_example = gr.Textbox('', label='题例')
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question_type.change(update_question_example, inputs=[question_type], outputs=[question_example])
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# option_num = gr.Slider(0, 5, value=3, step=1, label="选项数量", interactive=True)
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question_num = gr.Slider(0, 5, value=1, step=1, label="题量", interactive=True)
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@@ -524,6 +529,6 @@ with gr.Blocks(css=block_css) as demo:
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# outputs=[chatbot])
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demo.queue(concurrency_count=5).launch()
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_skills = list(set(df['能指']))
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_skills.sort()
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return gr.inputs.Radio.update(choices=_materials, value=None), gr.inputs.Radio.update(choices=_skills, value=None),\
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gr.inputs.Radio.update(choices=[], value=None), gr.inputs.Radio.update(choices=[], value=None), \
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gr.inputs.Textbox.update(value='')
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def update_question_class(_material_type, _skill):
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_question_class = list(set(df['一级题型']))
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_question_class.sort()
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return gr.inputs.Dropdown.update(choices=_question_class, value=None), \
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gr.inputs.Dropdown.update(choices=[], value=None), \
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gr.inputs.Textbox.update(value=''),
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def update_question_type(_material_type, _skill, _question_class):
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def update_question_example(_question_type):
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if _question_type:
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df = qt[qt['二级题型'] == _question_type]
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return df['样例'].to_list()[0]
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else:
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return ''
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def generate_questions(_model_mode, _material, _question_type, _question_num, _chatbot):
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publishers = list(set(kg['教材']))
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publishers.sort()
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publisher = gr.inputs.Dropdown(label="版本", choices=publishers)
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semester = gr.inputs.Dropdown(label="学期", choices=[])
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unit = gr.inputs.Dropdown(label="单元", choices=[])
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material_type = gr.Radio(['词汇', '短语', '句子', '语法'], label="出题材料类型")
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material = gr.CheckboxGroup([], label="出题材料")
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skill = gr.Radio([], label="考察能力")
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question_class = gr.Radio([], label="题类")
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question_type = gr.Radio(label="题型", choices=[])
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question_example = gr.Textbox('', label='题例')
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publisher.change(update_semesters, inputs=[publisher], outputs=[semester])
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semester.change(update_units, inputs=[publisher, semester], outputs=[unit])
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skill.change(update_question_class, inputs=[material_type, skill],
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outputs=[question_class, question_type, question_example])
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question_class.change(update_question_type, inputs=[material_type, skill, question_class],
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outputs=[question_type])
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question_type.change(update_question_example, inputs=[question_type], outputs=[question_example])
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material_type.change(update_material_and_skill, inputs=[publisher, semester, unit, material_type],
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outputs=[material, skill, question_class, question_type, question_example])
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# option_num = gr.Slider(0, 5, value=3, step=1, label="选项数量", interactive=True)
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question_num = gr.Slider(0, 5, value=1, step=1, label="题量", interactive=True)
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# outputs=[chatbot])
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demo.queue(concurrency_count=5).launch(server_name='0.0.0.0', server_port=7858, share=True)
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# demo.queue(concurrency_count=5).launch()
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