app.py

import gradio as gr
from transformers import pipeline


def generator_gpt2(text):
  gen = pipeline('text-generation', model='gpt2')
  return gen(text, max_length=30, num_return_sequences=1)[0]['generated_text']
def generator_openai_gpt(text):
  gen = pipeline('text-generation', model='openai-gpt')
  return gen(text, max_length=30, num_return_sequences=1)[0]['generated_text']

examples=[["Hello, I'm a language model,"],
          ["How are you?\n"]]

demo1 = gr.Interface(fn=generator_gpt2,
             inputs=gr.inputs.Textbox(label="input"),
             outputs=gr.outputs.Textbox(label="gpt2"),
             )
demo2 = gr.Interface(fn=generator_openai_gpt,
             inputs=gr.inputs.Textbox(),
             outputs=gr.outputs.Textbox(label="openai-gpt"),
             )

demo = gr.Parallel(demo1, demo2,
                   examples=examples,
                   allow_flagging="auto",
                   css='styles.css',
                  )

# demo.launch(server_name="0.0.0.0",show_error=True,debug=True)