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Browse files- app.py +31 -0
- requirements.txt +2 -0
app.py
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import gradio as gr
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from transformers import pipeline
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pipe = pipeline("question-answering", model="deepset/bert-base-cased-squad2")
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def main(question, context):
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answer = pipe(question=question, context=context)
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return answer["answer"]
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with gr.Blocks() as demo:
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gr.Markdown("""# Question Answerer!""")
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with gr.Row():
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with gr.Column():
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text1 = gr.Textbox(
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label="Question",
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lines=1,
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value="Who does Cristiano Ronaldo play for?",
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)
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text2 = gr.Textbox(
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label="Context",
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lines=3,
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value="Cristiano Ronaldo is a player for Manchester United",
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)
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output = gr.Textbox()
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b1 = gr.Button("Ask Question!")
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b1.click(main, inputs=[text1, text2], outputs=output)
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gr.Markdown("""#### powered by [Tassle](https://spring-soarer-4970.typedream.app/)""")
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if __name__ == "__main__":
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demo.launch()
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requirements.txt
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gradio
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transformers
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