|
|
<!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==0.54.2 |
|
|
</gradio-requirements> |
|
|
</gradio-lite> |
|
|
</body> |
|
|
</html> |
