app.py

from transformers import pipeline
import gradio as gr

def generate_text(prompt):
    # load the model
    generator = pipeline('text-generation', model='maiurilorenzo/dante-gpt')
    result = generator(prompt, max_length=100, num_return_sequences=1)
    return result[0]['generated_text']

demo = gr.Interface(fn=generate_text, inputs="text", outputs="text", title="Italian poetry generator in the style of Dante")

demo = gr.Interface(
    fn=generate_text,
    inputs="text",
    outputs="text",
    title="Italian poetry generator in the style of Dante",
    description="Start with a prompt such as 'Nel mezzo del cammin di nostra vita,' and find out what Dante could say if he was alive in our epoch!",
    article="The project is based on GPT-2 and is still in early development, different prompts can produce different outputs and errors are to be expected"
)

demo.launch()