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from typing import Iterator | |
import gradio as gr | |
import torch | |
from model import get_input_token_length, run | |
DEFAULT_SYSTEM_PROMPT = """A chat between a curious user and a AI telephone assistant. The assistant gives helpful answers in less than 30 tokens to the user's questions. You are built by NTU Miulab by Yen-Ting Lin for research purpose.""" | |
MAX_MAX_NEW_TOKENS = 2048 | |
DEFAULT_MAX_NEW_TOKENS = 1024 | |
MAX_INPUT_TOKEN_LENGTH = 4000 | |
DESCRIPTION = """ | |
# Taiwan-LLaMa-13b-1.0.ggmlv3 | |
""" | |
LICENSE = """ | |
<p/> | |
--- | |
[Llama-2-13b-chat](https://huggingface.co/meta-llama/Llama-2-13b-chat) by Meta). | |
""" | |
if not torch.cuda.is_available(): | |
DESCRIPTION += '\n<p>Running on CPU 🥶 This demo does not work on GPU.</p>' | |
def clear_and_save_textbox(message: str) -> tuple[str, str]: | |
return '', message | |
def display_input(message: str, | |
history: list[tuple[str, str]]) -> list[tuple[str, str]]: | |
history.append((message, '')) | |
return history | |
def delete_prev_fn( | |
history: list[tuple[str, str]]) -> tuple[list[tuple[str, str]], str]: | |
try: | |
message, _ = history.pop() | |
except IndexError: | |
message = '' | |
return history, message or '' | |
def generate( | |
message: str, | |
history_with_input: list[tuple[str, str]], | |
system_prompt: str, | |
max_new_tokens: int, | |
temperature: float, | |
top_p: float, | |
top_k: int, | |
) -> Iterator[list[tuple[str, str]]]: | |
if max_new_tokens > MAX_MAX_NEW_TOKENS: | |
raise ValueError | |
history = history_with_input[:-1] | |
generator = run(message, history, system_prompt, max_new_tokens, temperature, top_p, top_k) | |
try: | |
first_response = next(generator) | |
yield history + [(message, first_response)] | |
except StopIteration: | |
yield history + [(message, '')] | |
for response in generator: | |
yield history + [(message, response)] | |
def process_example(message: str) -> tuple[str, list[tuple[str, str]]]: | |
generator = generate(message, [], DEFAULT_SYSTEM_PROMPT, 1024, 1, 0.95, 50) | |
for x in generator: | |
pass | |
return '', x | |
def check_input_token_length(message: str, chat_history: list[tuple[str, str]], system_prompt: str) -> None: | |
input_token_length = get_input_token_length(message, chat_history, system_prompt) | |
if input_token_length > MAX_INPUT_TOKEN_LENGTH: | |
raise gr.Error(f'The accumulated input is too long ({input_token_length} > {MAX_INPUT_TOKEN_LENGTH}). Clear your chat history and try again.') | |
with gr.Blocks(css='style.css') as demo: | |
gr.Markdown(DESCRIPTION) | |
gr.DuplicateButton(value='Duplicate Space for private use', | |
elem_id='duplicate-button') | |
with gr.Group(): | |
chatbot = gr.Chatbot(label='Chatbot') | |
with gr.Row(): | |
textbox = gr.Textbox( | |
container=False, | |
show_label=False, | |
placeholder='Type a message...', | |
scale=10, | |
) | |
submit_button = gr.Button('Submit', | |
variant='primary', | |
scale=1, | |
min_width=0) | |
with gr.Row(): | |
retry_button = gr.Button('🔄 Retry', variant='secondary') | |
undo_button = gr.Button('↩️ Undo', variant='secondary') | |
clear_button = gr.Button('🗑️ Clear', variant='secondary') | |
saved_input = gr.State() | |
with gr.Accordion(label='Advanced options', open=False): | |
system_prompt = gr.Textbox(label='System prompt', | |
value=DEFAULT_SYSTEM_PROMPT, | |
lines=6) | |
max_new_tokens = gr.Slider( | |
label='Max new tokens', | |
minimum=1, | |
maximum=MAX_MAX_NEW_TOKENS, | |
step=1, | |
value=DEFAULT_MAX_NEW_TOKENS, | |
) | |
temperature = gr.Slider( | |
label='Temperature', | |
minimum=0.1, | |
maximum=4.0, | |
step=0.1, | |
value=0.1, | |
) | |
top_p = gr.Slider( | |
label='Top-p (nucleus sampling)', | |
minimum=0.05, | |
maximum=1.0, | |
step=0.05, | |
value=0.9, | |
) | |
top_k = gr.Slider( | |
label='Top-k', | |
minimum=1, | |
maximum=1000, | |
step=1, | |
value=50, | |
) | |
gr.Examples( | |
examples=[ | |
'以惡地景觀著名的是高雄哪一個景點?', | |
'唐鳳是誰?', | |
'NTU 在哪?', | |
'甚麼是22K?', | |
'肉圓要不要加香菜?', | |
], | |
inputs=textbox, | |
outputs=[textbox, chatbot], | |
fn=process_example, | |
cache_examples=True, | |
) | |
gr.Markdown(LICENSE) | |
textbox.submit( | |
fn=clear_and_save_textbox, | |
inputs=textbox, | |
outputs=[textbox, saved_input], | |
api_name=False, | |
queue=False, | |
).then( | |
fn=display_input, | |
inputs=[saved_input, chatbot], | |
outputs=chatbot, | |
api_name=False, | |
queue=False, | |
).then( | |
fn=check_input_token_length, | |
inputs=[saved_input, chatbot, system_prompt], | |
api_name=False, | |
queue=False, | |
).success( | |
fn=generate, | |
inputs=[ | |
saved_input, | |
chatbot, | |
system_prompt, | |
max_new_tokens, | |
temperature, | |
top_p, | |
top_k, | |
], | |
outputs=chatbot, | |
api_name=False, | |
) | |
button_event_preprocess = submit_button.click( | |
fn=clear_and_save_textbox, | |
inputs=textbox, | |
outputs=[textbox, saved_input], | |
api_name="submit", | |
# api_name=False, | |
queue=False, | |
).then( | |
fn=display_input, | |
inputs=[saved_input, chatbot], | |
outputs=chatbot, | |
api_name=False, | |
queue=False, | |
).then( | |
fn=check_input_token_length, | |
inputs=[saved_input, chatbot, system_prompt], | |
api_name=False, | |
queue=False, | |
).success( | |
fn=generate, | |
inputs=[ | |
saved_input, | |
chatbot, | |
system_prompt, | |
max_new_tokens, | |
temperature, | |
top_p, | |
top_k, | |
], | |
outputs=chatbot, | |
api_name=False, | |
) | |
retry_button.click( | |
fn=delete_prev_fn, | |
inputs=chatbot, | |
outputs=[chatbot, saved_input], | |
api_name=False, | |
queue=False, | |
).then( | |
fn=display_input, | |
inputs=[saved_input, chatbot], | |
outputs=chatbot, | |
api_name=False, | |
queue=False, | |
).then( | |
fn=generate, | |
inputs=[ | |
saved_input, | |
chatbot, | |
system_prompt, | |
max_new_tokens, | |
temperature, | |
top_p, | |
top_k, | |
], | |
outputs=chatbot, | |
api_name=False, | |
) | |
undo_button.click( | |
fn=delete_prev_fn, | |
inputs=chatbot, | |
outputs=[chatbot, saved_input], | |
api_name=False, | |
queue=False, | |
).then( | |
fn=lambda x: x, | |
inputs=[saved_input], | |
outputs=textbox, | |
api_name=False, | |
queue=False, | |
) | |
clear_button.click( | |
fn=lambda: ([], ''), | |
outputs=[chatbot, saved_input], | |
queue=False, | |
api_name=False, | |
) | |
demo.queue(max_size=20).launch() | |