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Upload app.py
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app.py
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import gradio as gr
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from qbigbird import QBigBird
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qbb = QBigBird()
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def guess_and_buzz(question):
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return qbb.guess_and_buzz(question)
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import json
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with open('/Users/yusuf/qbigbird/data/qanta.dev.2018.04.18.json') as f:
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data = json.load(f)
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data = data['questions']
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idxs = [214, 333]
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examples = [data[i]['text'] for i in idxs]
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example = 'The speaker of one poem by this author asks, "Does my haughtiness offend you?" after opening that poem ' \
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'with the concession "you may write me down in history / with your bitter, twisted lies." This author insisted ' \
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'in another poem that "you, created only a little lower / than the angels, have crouched too long in / ' \
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'the bruising darkness." This author of "Still I Rise" opened a third poem with the phrase ' \
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'"A Rock, A River, A Tree" and recorded that she stopped speaking for years after her mother\'s ' \
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'boyfriend raped her when she was eight. For 10 points, name this poet who read "On the Pulse of Morning" ' \
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'at Bill Clinton\'s inauguration and also wrote the autobiography I Know Why the Caged Bird Sings.'
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interface = gr.Interface(
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fn=guess_and_buzz,
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inputs=gr.inputs.Textbox(lines=10, placeholder="Enter Quiz Bowl question..."),
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outputs=[gr.outputs.Textbox(label="guess"), gr.outputs.Textbox(label="buzz")],
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title="Quiz Bowl QA",
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examples=[[example]],
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description='''Open-Domain Question Answering model for Quiz Bowl questions using custom feature extraction and
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Wikipedia as the Information Retrieval system and ELECTRA as the Question Answering model. Given
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a question, the model outputs its guess and whether it would buzz in with that guess or not.''',
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theme='grass'
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).launch(enable_queue=True)
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