import gradio as gr

from transformers import pipeline

pipe = pipeline("text-generation", model="Gryphe/MythoBoros-13b")

def predict(text):
  return pipe(text)[0]["text-generation"]

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

demo.launch()