File size: 2,591 Bytes
c47d064 c0f7cf1 c47d064 c0f7cf1 c47d064 c0f7cf1 c47d064 c0f7cf1 c47d064 c0f7cf1 c47d064 c0f7cf1 4d60f4c c47d064 c0f7cf1 c47d064 c0f7cf1 c47d064 c0f7cf1 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 |
import gradio as gr
from huggingface_hub import InferenceClient
SYSTEM_MESSAGE_DEFAULT = "You are a friendly Chatbot."
MAX_TOKENS_DEFAULT = 512
TEMPERATURE_DEFAULT = 0.7
TOP_P_DEFAULT = 0.95
inference_client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
def respond(
user_message: str,
conversation_history: list[tuple[str, str]],
system_message: str,
max_tokens: int,
temperature: float,
top_p: float,
) -> str:
"""
Respond to a user message given the conversation history and other parameters.
Args:
user_message (str): The user's message.
conversation_history (list[tuple[str, str]]): The conversation history.
system_message (str): The system message to display at the top of the chat interface.
max_tokens (int): The maximum number of tokens to generate in the response.
temperature (float): The temperature to use when generating text.
top_p (float): The top-p value to use when generating text.
Returns:
str: The response to the user's message.
"""
messages = [{"role": "system", "content": system_message}]
for user_input, assistant_response in conversation_history:
if user_input:
messages.append({"role": "user", "content": user_input})
if assistant_response:
messages.append({"role": "assistant", "content": assistant_response})
messages.append({"role": "user", "content": user_message})
response = ""
for message in inference_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
chatbot_interface = gr.ChatInterface(
fn=respond,
chatbot=gr.Chatbot(height=600),
additional_inputs=[
gr.Textbox(
value=SYSTEM_MESSAGE_DEFAULT,
label="System message",
),
gr.Slider(
minimum=1,
maximum=2048,
value=MAX_TOKENS_DEFAULT,
step=1,
label="Max new tokens",
),
gr.Slider(
minimum=0.1,
maximum=4.0,
value=TEMPERATURE_DEFAULT,
step=0.1,
label="Temperature",
),
gr.Slider(
minimum=0.1,
maximum=1.0,
value=TOP_P_DEFAULT,
step=0.05,
label="Top-p (nucleus sampling)",
),
],
)
if __name__ == "__main__":
chatbot_interface.launch()
|