#Libraries
import gradio as gr
from transformers import pipeline

#The Model
sentiment= pipeline(task="text-classification", model="lxyuan/distilbert-base-multilingual-cased-sentiments-student",return_all_scores=True)

#The function
def get_sentiment(input_text):
  return sentiment(input_text)

#The interface
iface=gr.Interface(fn=get_sentiment,
                   inputs="text",
                   outputs=['text'],
                   title='Sentiment Analysis',
                   description="Get Sentiment Positive/Negative for the given input")
iface.launch()