271 lines
7.7 KiB
Python
271 lines
7.7 KiB
Python
from typing import Iterator
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import gradio as gr
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import torch
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from model import get_input_token_length, run
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from gradio.themes.utils import sizes
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theme = gr.themes.Default(radius_size=sizes.radius_none).set(
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block_label_text_color = '#4D63FF',
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block_title_text_color = '#4D63FF',
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button_primary_text_color = '#4D63FF',
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button_primary_background_fill='#FFFFFF',
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button_primary_border_color='#4D63FF',
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button_primary_background_fill_hover='#EDEFFF',
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)
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css = "footer {visibility: hidden}"
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DEFAULT_SYSTEM_PROMPT = """\
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You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature.\n\nIf a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information.\
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"""
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MAX_MAX_NEW_TOKENS = 2048
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DEFAULT_MAX_NEW_TOKENS = 1024
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MAX_INPUT_TOKEN_LENGTH = 4000
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def clear_and_save_textbox(message: str) -> tuple[str, str]:
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return '', message
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def display_input(message: str,
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history: list[tuple[str, str]]) -> list[tuple[str, str]]:
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history.append((message, ''))
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return history
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def delete_prev_fn(
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history: list[tuple[str, str]]) -> tuple[list[tuple[str, str]], str]:
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try:
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message, _ = history.pop()
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except IndexError:
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message = ''
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return history, message or ''
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def generate(
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message: str,
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history_with_input: list[tuple[str, str]],
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system_prompt: str,
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max_new_tokens: int,
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temperature: float,
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top_p: float,
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top_k: int,
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) -> Iterator[list[tuple[str, str]]]:
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if max_new_tokens > MAX_MAX_NEW_TOKENS:
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raise ValueError
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history = history_with_input[:-1]
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generator = run(message, history, system_prompt, max_new_tokens, temperature, top_p, top_k)
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try:
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first_response = next(generator)
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yield history + [(message, first_response)]
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except StopIteration:
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yield history + [(message, '')]
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for response in generator:
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yield history + [(message, response)]
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def process_example(message: str) -> tuple[str, list[tuple[str, str]]]:
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generator = generate(message, [], DEFAULT_SYSTEM_PROMPT, 1024, 1, 0.95, 50)
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for x in generator:
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pass
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return '', x
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def check_input_token_length(message: str, chat_history: list[tuple[str, str]], system_prompt: str) -> None:
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input_token_length = get_input_token_length(message, chat_history, system_prompt)
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if input_token_length > MAX_INPUT_TOKEN_LENGTH:
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raise gr.Error(f'The accumulated input is too long ({input_token_length} > {MAX_INPUT_TOKEN_LENGTH}). Clear your chat history and try again.')
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with gr.Blocks(css=css, theme=theme) as demo:
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gr.Markdown("""
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<div align='center' ><font size='60'>Llama-2-7B-Chat</font></div>
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""")
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with gr.Group():
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chatbot = gr.Chatbot(label='Chatbot')
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with gr.Row():
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textbox = gr.Textbox(
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container=False,
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show_label=False,
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placeholder='Type a message...',
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scale=10,
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)
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submit_button = gr.Button('Submit',
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variant='primary',
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scale=1,
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min_width=0)
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with gr.Row():
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retry_button = gr.Button('🔄 重试', variant='primary')
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undo_button = gr.Button('↩️ 取消', variant='primary')
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clear_button = gr.Button('🗑️ 清除', variant='primary')
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saved_input = gr.State()
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with gr.Accordion(label='Advanced options', open=False):
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system_prompt = gr.Textbox(label='System prompt',
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value=DEFAULT_SYSTEM_PROMPT,
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lines=6)
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max_new_tokens = gr.Slider(
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label='Max new tokens',
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minimum=1,
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maximum=MAX_MAX_NEW_TOKENS,
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step=1,
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value=DEFAULT_MAX_NEW_TOKENS,
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)
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temperature = gr.Slider(
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label='Temperature',
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minimum=0.1,
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maximum=4.0,
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step=0.1,
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value=1.0,
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)
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top_p = gr.Slider(
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label='Top-p (nucleus sampling)',
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minimum=0.05,
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maximum=1.0,
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step=0.05,
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value=0.95,
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)
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top_k = gr.Slider(
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label='Top-k',
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minimum=1,
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maximum=1000,
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step=1,
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value=50,
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)
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gr.Examples(
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examples=[
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'Hello there! How are you doing?',
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'Can you explain briefly to me what is the Python programming language?',
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'Explain the plot of Cinderella in a sentence.',
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'How many hours does it take a man to eat a Helicopter?',
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"Write a 100-word article on 'Benefits of Open-Source in AI research'",
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],
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inputs=textbox,
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outputs=[textbox, chatbot],
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fn=process_example,
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cache_examples=True,
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label="示例"
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)
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textbox.submit(
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fn=clear_and_save_textbox,
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inputs=textbox,
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outputs=[textbox, saved_input],
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api_name=False,
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queue=False,
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).then(
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fn=display_input,
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inputs=[saved_input, chatbot],
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outputs=chatbot,
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api_name=False,
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queue=False,
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).then(
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fn=check_input_token_length,
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inputs=[saved_input, chatbot, system_prompt],
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api_name=False,
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queue=False,
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).success(
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fn=generate,
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inputs=[
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saved_input,
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chatbot,
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system_prompt,
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max_new_tokens,
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temperature,
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top_p,
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top_k,
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],
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outputs=chatbot,
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api_name=False,
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)
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button_event_preprocess = submit_button.click(
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fn=clear_and_save_textbox,
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inputs=textbox,
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outputs=[textbox, saved_input],
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api_name=False,
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queue=False,
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).then(
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fn=display_input,
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inputs=[saved_input, chatbot],
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outputs=chatbot,
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api_name=False,
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queue=False,
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).then(
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fn=check_input_token_length,
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inputs=[saved_input, chatbot, system_prompt],
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api_name=False,
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queue=False,
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).success(
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fn=generate,
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inputs=[
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saved_input,
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chatbot,
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system_prompt,
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max_new_tokens,
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temperature,
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top_p,
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top_k,
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],
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outputs=chatbot,
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api_name=False,
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)
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retry_button.click(
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fn=delete_prev_fn,
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inputs=chatbot,
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outputs=[chatbot, saved_input],
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api_name=False,
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queue=False,
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).then(
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fn=display_input,
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inputs=[saved_input, chatbot],
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outputs=chatbot,
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api_name=False,
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queue=False,
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).then(
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fn=generate,
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inputs=[
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saved_input,
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chatbot,
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system_prompt,
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max_new_tokens,
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temperature,
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top_p,
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top_k,
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],
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outputs=chatbot,
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api_name=False,
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)
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undo_button.click(
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fn=delete_prev_fn,
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inputs=chatbot,
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outputs=[chatbot, saved_input],
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api_name=False,
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queue=False,
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).then(
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fn=lambda x: x,
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inputs=[saved_input],
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outputs=textbox,
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api_name=False,
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queue=False,
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)
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clear_button.click(
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fn=lambda: ([], ''),
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outputs=[chatbot, saved_input],
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queue=False,
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api_name=False,
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)
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demo.queue(max_size=20).launch(server_name="0.0.0.0")
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