import gradio as gr
from transformers import pipeline

# Load model directly from Hugging Face Hub
model_name = "EleutherAI/gpt-neo-125M"  # Replace with your model
generator = pipeline("text-generation", model=model_name)

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

demo = gr.Interface(
    fn=generate_text,
    inputs=gr.Textbox(lines=2, placeholder="Enter your prompt..."),
    outputs="text",
    title="Custom Hugging Face Model UI",
    description=f"This UI interacts with the {model_name} model."
)

demo.launch()