import gradio as gr
import torch
from transformers import pipeline

def greet(txt):
    device = torch.device("cpu")
    pipe = pipeline(
    "text-generation", model="checkpoint-1500", device=device
    )
    
    return pipe(txt, num_return_sequences=1)[0]["generated_text"]

demo = gr.Interface(fn=greet, inputs="text", outputs="text")
    
demo.launch(inline= False)