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import gradio as gr |
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from QA_Pipeline import * |
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question = "What is Pragyan?" |
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context = "Chandrayaan-3 is the third and most recent lunar Indian Space Research exploration mission under the Chandrayaan programme of ISRO. It consists of a lander named Vikram and a rover named Pragyan similar to Chandrayaan-2. Its propulsion module behaves like a communication relay satellite." |
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title = "Extractive question answering" |
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description = """ |
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<img src="https://www.zdnet.com/a/img/resize/1a8d2c93f1f51f9f33d21d7224840dfcf06f5a50/2023/02/14/328d5be2-918d-4aee-8690-875aed4a8c8a/gettyimages-1458045238-1.jpg?auto=webp&width=1280" width=200px> |
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""" |
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question_box = gr.Textbox(label="Question:", placeholder="What is Pragyan?", lines=2) |
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context_box = gr.Textbox(label="Context", placeholder=context, lines=10) |
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demo = gr.Interface(fn=question_answering_pipeline, |
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inputs=[question_box, context_box], |
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outputs="text", |
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title=title, |
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description=description) |
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demo.launch() |
