Spaces:
Sleeping
Sleeping
import gradio as gr | |
from huggingface_hub import InferenceClient | |
client = InferenceClient("HuggingFaceH4/zephyr-7b-beta") | |
def respond( | |
message, | |
history: list[tuple[str, str]], | |
system_message, | |
max_tokens, | |
temperature, | |
top_p, | |
): | |
messages = [{"role": "system", "content": system_message + " I'm here to help you relax. You can talk to me about anything that's on your mind or ask for relaxation tips."}] | |
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 | |
demo = gr.ChatInterface( | |
respond, | |
additional_inputs=[ | |
gr.Textbox(value="Remember to breathe and take things one step at a time.", 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)"), | |
], | |
examples=[ | |
["I'm feeling stressed about work."], | |
["Can you give me a relaxation tip?"], | |
["I need help winding down after a long day."] | |
], | |
title="Calm Mate" # Setting the title of the app | |
) | |
if __name__ == "__main__": | |
demo.launch() | |