app.py

import gradio as gr
from transformers import pipeline

generator = pipeline('text-generation', model='EleutherAI/gpt-neo-2.7B')

def generate_text(prompt):
    generated = generator(prompt, max_length=100, num_return_sequences=1)
    return generated[0]['generated_text']

iface = gr.Interface(
    fn=generate_text,
    inputs=gr.Textbox(lines=5, placeholder="Enter prompt here..."),
    outputs=gr.Textbox(),
    title="Generative Model Service",
    description="Generates text based on the input prompt using GPT-Neo."
)

if __name__ == "__main__":
    iface.launch()