app.py

from transformers import pipeline, set_seed

import gradio as gr

# Carica il modello GPT-2

generator = pipeline('text-generation', model='gpt2')

set_seed(42)

def generate_text(prompt):

    response = generator(

        prompt,

        max_length=100,

        num_return_sequences=1,

        truncation=True

    )

    return response[0]['generated_text']

# Interfaccia Gradio

interface = gr.Interface(

    fn=generate_text,

    inputs=gr.Textbox(lines=5, placeholder="Inserisci il tuo testo iniziale..."),

    outputs="text",

    title="GPT-2 Text Generator",

    description="Genera testo continuativo usando GPT-2 senza fine-tuning."

)

if __name__ == "__main__":

    interface.launch()