| import gradio as gr | |
| from transformers import pipeline | |
| pipe = pipeline("question-answering", model="deepset/roberta-large-squad2") | |
| def get_sentiment(input_text): | |
| answer = pipe(question=input_text, context="i am genuis") | |
| return answer | |
| iface = gr.Interface(fn = get_sentiment, | |
| inputs = "text", | |
| outputs = ['text'], | |
| title = 'question-answering', | |
| description="question-answering for the given input") | |
| iface.launch(inline = False) |