app.py

import gradio as gr
from transformers import pipeline
import torch

# Check if a GPU is available
device = 0 if torch.cuda.is_available() else -1
print("Using GPU" if device == 0 else "Using CPU")

# Load the model on the GPU if available
model = pipeline("text-generation", model="gpt2", device=device)

def generate_text(prompt):
    return model(prompt, max_length=50)[0]["generated_text"]

interface = gr.Interface(
    fn=generate_text,
    inputs=gr.Textbox(label="Enter your prompt here"),
    outputs=gr.Textbox(label="Generated Text"),
    title="AI Text Generator",
    description="This app generates text based on your input prompt. Try it out!",
    theme="dark"
)

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