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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("unsloth/Llama-3.2-1B-Instruct") | |
# client = InferenceClient( model="https://fevhx93hdo4c770t.us-east-1.aws.endpoints.huggingface.cloud") | |
def respond( | |
message, | |
history: list[tuple[str, str]], | |
# system_message, | |
# max_tokens, | |
# temperature, | |
# top_p, | |
): | |
system_message = "You are a Dietician Assistant specializing in providing general guidance on diet, " | |
"nutrition, and healthy eating habits. Answer questions thoroughly with scientifically " | |
"backed advice, practical tips, and easy-to-understand explanations. Keep in mind that " | |
"your role is to assist, not replace a registered dietitian, so kindly remind users to " | |
"consult a professional for personalized advice when necessary." | |
max_tokens = 512 | |
temperature = 0.9 | |
top_p = 0.95 | |
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, | |
stop=["<|im_end|><|im_end|>", "<|im_end|>", "|im_end|>"], | |
#temperature=temperature, | |
#top_p=top_p, | |
): | |
token = message.choices[0].delta.content | |
if not token: | |
break | |
response += token | |
yield response.strip("|") | |
""" | |
For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface | |
""" | |
demo = gr.ChatInterface( | |
fn=respond, | |
#title="Hi there! I'm your Dietician Assistant, here to help you with general advice on diet, nutrition, and healthy eating habits. Let's explore your questions.", | |
title="Your Personal Dietician Assistant: Expert Guidance on Healthy Eating and Nutrition", | |
examples=["How can I lose weight safely?", | |
"What is a healthy weight loss rate?", | |
"How do I meal prep efficiently?",] | |
# additional_inputs=[ | |
# gr.Textbox(value="You are a friendly Chatbot.", 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() |