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import gradio as gr | |
from huggingface_hub import InferenceClient | |
client = InferenceClient("Qwen/Qwen2.5-Coder-32B-Instruct") | |
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 | |
# Custom CSS to change the title color and add logo | |
opq = """ | |
.gradio-container h1 { | |
color: #6495ED !important; | |
display: flex; | |
align-items: center; | |
} | |
""" | |
# Custom HTML to inject the logo | |
custom_html = """ | |
<div> | |
<h1> Welcome to Rxple Chat Bot 💬</h1> | |
</div> | |
""" | |
# Combined description with new lines | |
combined_description = """ | |
Ghar ka ai this AI does not store any data you can use as much you want without logging<br> | |
-- Follow us on [Instagram](https://www.instagram.com/khellon_patel_21) -- | |
""" | |
# Use the custom_html for the title | |
demo = gr.ChatInterface( | |
respond, | |
title=custom_html, # Use the custom HTML for the title | |
description=combined_description, | |
additional_inputs=[ | |
gr.Textbox(value="You are a friendly Chatbot.", label="System message"), | |
gr.Slider(minimum=1, maximum=2048, value=2048, 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)", | |
), | |
], | |
css=opq # Add the custom CSS here | |
) | |
if __name__ == "__main__": | |
demo.launch(share=True) |