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import gradio as gr
from huggingface_hub import InferenceClient
client = InferenceClient("pro-grammer/MindfulAI")
def respond(
message,
history: list[tuple[str, str]],
system_message,
max_tokens,
temperature,
top_p,
):
prompt = system_message.strip() + "\n\n"
for user_msg, assistant_msg in history:
if user_msg:
prompt += f"User: {user_msg.strip()}\n"
if assistant_msg:
prompt += f"Assistant: {assistant_msg.strip()}\n"
prompt += f"User: {message.strip()}\nAssistant:"
response = ""
for token in client.text_generation(
prompt,
max_new_tokens=max_tokens,
stream=True,
temperature=temperature,
top_p=top_p,
):
token_text = token.choices[0].text
response += token_text
yield response
demo = gr.ChatInterface(
respond,
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(share=True)
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