app.py

from transformers import pipeline

classifier = pipeline("text-classification",
                      model="senti")
def func(text):
  pred=classifier(text)[0]['label']
  if pred=='LABEL_0':
    return 'sadness'
  elif pred=='LABEL_1':
    return 'joy'
  elif pred=='LABEL_2':
    return 'love'
  elif pred=='LABEL_3':
    return 'anger'
  elif pred=='LABEL_4':
    return 'fear'
  elif pred=='LABEL_5':
    return 'surprise'
import gradio as gr
descriptions = "This is an AI sentiment analyzer which checks and gets the emotions in a particular text. Just put in a sentence and you'll get the probable emotions behind that sentence"

app = gr.Interface(fn=func, inputs="text", outputs="text", title="Sentiment Analayser", description=descriptions)
app.launch(share=True)