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| import os | |
| from typing import Iterator | |
| import gradio as gr | |
| from model import run | |
| HF_PUBLIC = os.environ.get("HF_PUBLIC", False) | |
| DEFAULT_SYSTEM_PROMPT = "Ты — Mistral. Ты - искусственный интеллект, вежливый, предоставляющий только достоверную информацию, основанный на модели Mistral-7B от Mistral AI. Ты можешь одинаково хорошо общаться на разных языках. ты умеешь общаться на любые темы и помогать почти во всём. Ты общаешься на том языке, на котором будут следующие сообщения." | |
| MAX_MAX_NEW_TOKENS = 4096 | |
| DEFAULT_MAX_NEW_TOKENS = 256 | |
| MAX_INPUT_TOKEN_LENGTH = 4000 | |
| DESCRIPTION = """ | |
| # Mistral-7B | |
| """ | |
| 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 = len(message) + len(chat_history) | |
| 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) | |
| with gr.Group(): | |
| chatbot = gr.Chatbot(show_label=False) | |
| with gr.Row(): | |
| textbox = gr.Textbox( | |
| container=False, | |
| show_label=False, | |
| placeholder='Сообщение...', | |
| scale=10, | |
| ) | |
| submit_button = gr.Button('Send', | |
| variant='primary', | |
| scale=1, | |
| min_width=0) | |
| with gr.Row(): | |
| retry_button = gr.Button('🔄 Повторить', variant='secondary') | |
| undo_button = gr.Button('↩️ Отмена', variant='secondary') | |
| clear_button = gr.Button('🗑️ Очистить', variant='secondary') | |
| saved_input = gr.State() | |
| with gr.Accordion(label='⚙️ Настройки', open=False): | |
| system_prompt = gr.Textbox(label='Системный prompt', | |
| value=DEFAULT_SYSTEM_PROMPT, | |
| lines=5, | |
| interactive=False) | |
| max_new_tokens = gr.Slider( | |
| label='Максимальное количество токенов', | |
| minimum=1, | |
| maximum=MAX_MAX_NEW_TOKENS, | |
| step=1, | |
| value=DEFAULT_MAX_NEW_TOKENS, | |
| ) | |
| temperature = gr.Slider( | |
| label='Температура ответа', | |
| minimum=0.1, | |
| maximum=4.0, | |
| step=0.1, | |
| value=0.1, | |
| ) | |
| top_p = gr.Slider( | |
| label='Top-p (отбор проб ядра)', | |
| 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=10, | |
| ) | |
| 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=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=32).launch(share=False, show_api=False) | |