app.py

import gradio as gr
from transformers import pipeline
title= "German Flan-T5"
examples = [
  ["Erzähl mit eine Geschichte!"]
]

tDeEn = pipeline(model="Helsinki-NLP/opus-mt-de-en")
tEnDe = pipeline(model="Helsinki-NLP/opus-mt-de-en")
bot = pipeline(model="google/flan-t5-large")

def solve(text):
  eng=tDeEn(text)[0]["translation_text"]
  out=bot(eng,max_length=50)[0]["generated_text"]
  out=tEnDe(out)[0]["translation_text"]
  return output

task = gr.Interface(
  fn=solve,
  inputs=gr.Textbox(lines=5,max_lines=6,label="Auftrag:"),
  outputs="text",
  title=title,
  examples=examples
)

if __name__ == "__main__":
  task.launch()