File size: 606 Bytes
2c47a95
 
 
 
 
 
 
38dd1bd
2c47a95
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
import gradio as gr
from transformers import pipeline
title = 'Question Answering'
context = "Professor Geoffrey Hinton told BBC Newsnight that a benefits reform giving fixed amounts of cash to every citizen would be needed because he was “very worried about AI taking lots of mundane jobs”."
question = "Why Geoffrey Hinton  is worried about AI on human jobs?"


question_answerer = pipeline("question-answering", model='Hemg/Question-answering')





interface = gr.Interface.from_pipeline(question_answerer,
    title = title,
    theme = "peach",
    examples = [[context, question]]).launch()