app.py

import gradio as gr
import transformers
from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline

shroom_generator = pipeline("text-generation", model=AutoModelForCausalLM.from_pretrained('azaninello/gpt2-finetuned-shrooms'), tokenizer="gpt2")

def generator(start_your_text='Some day '):
  shroom_result = shroom_generator(start_your_text, max_length=420) 
  #general_result = general_generator(input_text, max_length=420) 
  return shroom_result[0]["generated_text"]

iface = gr.Interface(fn=generator, inputs="text", outputs="text")
iface.launch()