| import gradio as gr |
| from transformers import pipeline |
| import torch |
|
|
| qa = pipeline("question-answering", model="MarcBrun/ixambert-finetuned-squad") |
|
|
| def answer_question(question, answer_text): |
|
|
| answer = qa(question=question, context=answer_text) |
| |
| return answer["answer"] |
|
|
| iface = gr.Interface(fn=answer_question, inputs=[gr.inputs.Textbox(lines=1, placeholder="Question Here...", label="Question"),gr.inputs.Textbox(lines=5, placeholder="Context Here...", label="Context")], outputs=gr.outputs.Textbox(label="Answer")) |
| iface.launch() |
