| import gradio as gr | |
| from transformers import pipeline | |
| # Load the model | |
| model = pipeline("text-generation", model="Rishitha0208/new-llm-for-advanced-materials") | |
| def generate_text(prompt): | |
| return model(prompt, max_length=50, num_return_sequences=1)[0]['generated_text'] | |
| # Define the Gradio interface | |
| interface = gr.Interface( | |
| fn=generate_text, | |
| inputs=gr.Textbox(lines=2, placeholder="Enter your text here..."), | |
| outputs="text", | |
| title="Text Generation Model", | |
| description="A text generation model using Hugging Face Transformers." | |
| ) | |
| # Launch the interface | |
| interface.launch() | |