app.py

import gradio as gr
from transformers import pipeline

def text_gen(input):
    generator = pipeline("text-generation", model="distilgpt2")
    generated_text = generator(input)[0]['generated_text']
    # Split the generated text into sentences and concatenate them
    sentences = generated_text.split('.')
    full_sentence = ' '.join(sentence.strip() for sentence in sentences if sentence.strip())
    return f"'{full_sentence}'"

iface = gr.Interface(fn=text_gen, inputs="text", outputs="text")
iface.launch()