import gradio as gr
from transformers import pipeline
import os

token = os.environ.get("HF_TOKEN")

pipe = pipeline("text-classification", model="herzlicemi/37a0-5klk-3rla-0", token=token)

def predict(text):
  return str(pipe(text))

demo = gr.Interface(
  fn=predict,
  inputs='text',
  outputs='text',
  examples=[
      [
          "I arrived in Bali in the morning, after a long flight from my home country. As I stepped out of the airport, I was immediately struck by the warm, humid air and the sound of birds chirping in the trees. I was greeted by a friendly taxi driver who offered to take me to my hotel in Kuta, a popular beach town on the south coast of the island."
      ],
      [
          "Upon my arrival in Bali in the morning, it was already late according to the time zone of my hometown after a long journey. On coming out of the airport I felt the steam hot air and the song of the singing insects in the trees. A kind taxi driver gave me a ride to a resort at Kuta – beach town located on the southern coast of the island."
      ]
  ]
)

demo.launch()