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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() |