| | import gradio as gr |
| | |
| | from QA_Tensorflow import * |
| |
|
| | question = "What is Pragyan?" |
| | 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." |
| |
|
| | title = "Extractive question answering" |
| | description = """ |
| | <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> |
| | """ |
| | question_box = gr.Textbox(label="Question:", placeholder="What is Pragyan?", lines=2) |
| | context_box = gr.Textbox(label="Context", placeholder=context, lines=10) |
| | demo = gr.Interface(fn=question_answering_tf, |
| | inputs=[question_box, context_box], |
| | outputs="text", |
| | title=title, |
| | description=description) |
| |
|
| | demo.launch() |
