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| 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() | |