app.py

import gradio as gr

from transformers import pipeline

pipe = pipeline("text-classification",
                model="airesearch/wangchanbart-large",
                tokenizer="airesearch/wangchanbart-large"
                revision="finetuned@wisesight_sentiment"
              )

def predict(text):
  return pipe(text)

demo = gr.Interface(
  fn=predict,
  inputs='text',
  outputs='text',
)

demo.launch()