app.py

import gradio as gr
from gradio_client import Client

from transformers import pipeline

client = Client(src="gradio/calculator")

client.view_api(return_format="all_endpoints")

pipe=pipeline('sentiment-analysis')

def sentiment_calssifir(text):
    return  pipe(text)




demo = gr.Interface(fn=sentiment_calssifir, inputs="text", outputs="json")
demo.launch()
             # outputs="label",
             # title=title,
             # description=description,
             # live=True).launch(debug=True)