app.py

import gradio as gr

from transformers import pipeline

classifier = pipeline("text-classification", model="matthewburke/korean_sentiment")

def predict(text):
  result = classifier(text, return_all_scores=True)[0]
  positive_score = result[1]['score']
  negative_score = result[0]['score']
  return {"positive": positive_score, "negative": negative_score}

iface = gr.Interface(
  fn=predict, 
  inputs='text',
  outputs='label',
  examples=[["영화가 재밌었다"]]
)

iface.launch()