# Use a pipeline as a high-level helper
from transformers import pipeline
import gradio as gr

pipe = pipeline("text-generation", model="Gustavosta/MagicPrompt-Stable-Diffusion")

def genPrompt(text: str, total: int):
  total = int(total)
  ret = None
  for i in range(0, total):
    txt = pipe(text, max_length=500, min_length=50)[0].get("generated_text").replace("\n", " ")
    if not ret:
      ret = txt
    else:
      ret = f"{ret}\n\n{txt}"
  return ret

appli = gr.Interface(fn=genPrompt, inputs=[gr.Text(),gr.Slider(0, 10, 4)], outputs="text")
appli.launch()