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import gradio as gr | |
from transformers import pipeline | |
pipe = pipeline("sentiment-analysis", model="cardiffnlp/twitter-roberta-base-sentiment-latest") | |
def get_sentiment(user_text): | |
return pipe(user_text)[0]["label"] | |
iface = gr.Interface(fn = get_sentiment, | |
inputs = "text", | |
outputs = ['text'], | |
title= 'Sentiment Analysis', | |
description = 'Get Sentiment Negative/Positive/Neutral for the given input') | |
iface.launch() |