import gradio as gr
from transformers import pipeline
import os

token = os.environ.get("HF_TOKEN")
gr.load("models/herzlicemi/37a0-5klk-3rla-0", hf_token=token).launch()




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

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

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

demo.launch()