| import gradio as gr | |
| from transformers import pipeline | |
| chat = pipeline("text-generation", model="microsoft/phi-2") | |
| def chat_with_model(prompt): | |
| response = chat(prompt, max_length=50) | |
| return response[0]['generated_text'] | |
| # Create the Gradio interface | |
| iface = gr.Interface( | |
| fn=chat_with_model, | |
| inputs=gr.inputs.Textbox(lines=2, placeholder="Type your message here..."), | |
| outputs="text", | |
| title="Chat with LLM", | |
| description="Type a message and chat with a language model." | |
| ) | |
| if __name__ == "__main__": | |
| iface.launch() |