| | <!DOCTYPE html> |
| | <html> |
| | <head> |
| | <meta charset="utf-8"> |
| | <meta name="viewport" content="width=device-width, initial-scale=1"> |
| | <title>Gradio-Lite: Serverless Gradio Running Entirely in Your Browser</title> |
| | <meta name="description" content="Gradio-Lite: Serverless Gradio Running Entirely in Your Browser"> |
| |
|
| | <script type="module" crossorigin src="https://cdn.jsdelivr.net/npm/@gradio/lite/dist/lite.js"></script> |
| | <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/@gradio/lite/dist/lite.css" /> |
| |
|
| | <style> |
| | html, body { |
| | margin: 0; |
| | padding: 0; |
| | height: 100%; |
| | } |
| | </style> |
| | </head> |
| | <body> |
| | <gradio-lite> |
| | <gradio-file name="app.py" entrypoint> |
| | import gradio as gr |
| | from huggingface_hub import InferenceClient |
| |
|
| | """ |
| | For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference |
| | """ |
| | client = InferenceClient("MCES10-Software/Ricky-Llama-3.2") |
| |
|
| |
|
| | def respond( |
| | message, |
| | history: list[tuple[str, str]], |
| | system_message, |
| | max_tokens, |
| | temperature, |
| | top_p, |
| | ): |
| | messages = [{"role": "system", "content": system_message}] |
| |
|
| | for val in history: |
| | if val[0]: |
| | messages.append({"role": "user", "content": val[0]}) |
| | if val[1]: |
| | messages.append({"role": "assistant", "content": val[1]}) |
| |
|
| | messages.append({"role": "user", "content": message}) |
| |
|
| | response = "" |
| |
|
| | for message in client.chat_completion( |
| | messages, |
| | max_tokens=max_tokens, |
| | stream=True, |
| | temperature=temperature, |
| | top_p=top_p, |
| | ): |
| | token = message.choices[0].delta.content |
| |
|
| | response += token |
| | yield response |
| |
|
| |
|
| | """ |
| | For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface |
| | """ |
| | demo = gr.ChatInterface( |
| | respond, |
| | additional_inputs=[ |
| | gr.Textbox(value="You are a friendly Chatbot named RICKY (REALLY INTELLIGENT COMPUTING KEEPS YOU) LLAMA 3.2 1B INSTRUCT FINE TUNED BY MCES10 Software.", label="System message"), |
| | gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"), |
| | gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"), |
| | gr.Slider( |
| | minimum=0.1, |
| | maximum=1.0, |
| | value=0.95, |
| | step=0.05, |
| | label="Top-p (nucleus sampling)", |
| | ), |
| | ], |
| | ) |
| |
|
| |
|
| | if __name__ == "__main__": |
| | demo.launch() |
| | </gradio-file> |
| |
|
| |
|
| | <gradio-requirements> |
| | huggingface_hub==0.25.2 |
| | </gradio-requirements> |
| | </gradio-lite> |
| | </body> |
| | </html> |
