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Sleeping
| #!/usr/bin/env python | |
| import os | |
| from typing import Iterator | |
| import gradio as gr | |
| import torch | |
| from model import run | |
| from settings import (ALLOW_CHANGING_SYSTEM_PROMPT, DEFAULT_MAX_NEW_TOKENS, | |
| DEFAULT_SYSTEM_PROMPT, MAX_MAX_NEW_TOKENS) | |
| DESCRIPTION = '# Llama-2 7B chat' | |
| if not torch.cuda.is_available(): | |
| DESCRIPTION += '\n<p>Running on CPU 🥶 This demo does not work on CPU.</p>' | |
| WRITEUP = """This Space demonstrates model [Llama-2-7b-chat](https://huggingface.co/meta-llama/Llama-2-7b-chat) by Meta, running transformers latest release. Read more about the Llamav2 release on Huggingface in our [Blog](https://huggingface.co/blog/llama2). To have your own dedicated endpoint, you can [deploy it on Inference Endpoints](https://ui.endpoints.huggingface.co/) or duplicate the Space and provide for a GPU. We also have the [Llama-2-70b-chat-hf](https://huggingface.co/meta-llama/Llama-2-70b-chat-hf) demo running on Spaces. """ | |
| 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 fn( | |
| message: str, | |
| history_with_input: list[tuple[str, str]], | |
| system_prompt: str, | |
| max_new_tokens: int, | |
| top_p: float, | |
| temperature: 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)] | |
| with gr.Blocks(css='style.css') as demo: | |
| gr.Markdown(DESCRIPTION) | |
| gr.Markdown(WRITEUP) | |
| gr.DuplicateButton(value='Duplicate Space for private use', | |
| elem_id='duplicate-button', | |
| visible=os.getenv('SHOW_DUPLICATE_BUTTON') == '1') | |
| 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, | |
| interactive=ALLOW_CHANGING_SYSTEM_PROMPT) | |
| 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=5.0, | |
| step=0.1, | |
| value=0.8, | |
| ) | |
| top_p = gr.Slider( | |
| label='Top-p (nucleus sampling)', | |
| minimum=0.05, | |
| maximum=1.0, | |
| step=0.05, | |
| value=0.95, | |
| ) | |
| top_k = gr.Slider( | |
| label='Top-k', | |
| minimum=1, | |
| maximum=50, | |
| step=1, | |
| value=50, | |
| ) | |
| 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=fn, | |
| 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=fn, | |
| 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=fn, | |
| inputs=[ | |
| saved_input, | |
| chatbot, | |
| 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() | |