| import gradio as gr | |
| from transformers import AutoModelForCausalLM | |
| # Load the Llama-2-7b-chat model | |
| model = AutoModelForCausalLM.from_pretrained("llama-2-7b-chat") | |
| # Define a function to generate text using the model | |
| def generate_text(prompt): | |
| # Generate text using the model | |
| generated_text = model.generate(prompt, max_length=4000) | |
| # Return the generated text | |
| return generated_text | |
| # Create a Gradio app | |
| interface = gr.Interface(fn=generate_text, inputs="text", outputs="text") | |
| # Launch the Gradio app | |
| interface.launch() | |