Kunal09's picture
Create app.py
ef95793
raw
history blame contribute delete
279 Bytes
import gradio as gr
from transformers import pipeline
sentiment=pipeline("sentiment-analysis")
def get_sentiment(input_txt):
return sentiment(input_txt)
iface=gr.Interface(fn=get_sentiment,inputs='text',outputs=['text'],title='Sentiment Analysis')
iface.launch(inline=False)