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

pipe = pipeline("text-generation", model="Narsil/gpt3", trust_remote_code=True)
set_seed(42)
def greet(name):
    return pipe(name)[0]['generated_text']

# greet('df')
iface = gr.Interface(fn=greet, inputs="text", outputs="text")
iface.launch()