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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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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. |
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If 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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DESCRIPTION = """ |
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# llama-2-13b-chat.ggmlv3.q4_K_S |
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""" |
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LICENSE = """ |
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<p/> |
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--- |
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[Llama-2-13b-chat](https://huggingface.co/meta-llama/Llama-2-13b-chat) by Meta). |
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""" |
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if not torch.cuda.is_available(): |
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DESCRIPTION += '\n<p>Running on CPU 🥶 This demo does not work on CPU.</p>' |
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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='style.css') as demo: |
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gr.Markdown(DESCRIPTION) |
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gr.DuplicateButton(value='Duplicate Space for private use', |
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elem_id='duplicate-button') |
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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('🔄 Retry', variant='secondary') |
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undo_button = gr.Button('↩️ Undo', variant='secondary') |
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clear_button = gr.Button('🗑️ Clear', variant='secondary') |
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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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'When is the best time to visit Beijing, and do you have any suggestions for me?', |
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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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], |
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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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) |
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gr.Markdown(LICENSE) |
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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="submit", |
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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() |
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