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| import os | |
| from typing import Iterator | |
| import gradio as gr | |
| from dotenv import load_dotenv | |
| from distutils.util import strtobool | |
| from model import LLAMA2_WRAPPER | |
| load_dotenv() | |
| DEFAULT_SYSTEM_PROMPT = ( | |
| os.getenv("DEFAULT_SYSTEM_PROMPT") | |
| if os.getenv("DEFAULT_SYSTEM_PROMPT") is not None | |
| else "" | |
| ) | |
| MAX_MAX_NEW_TOKENS = ( | |
| int(os.getenv("MAX_MAX_NEW_TOKENS")) | |
| if os.getenv("DEFAULT_MAX_NEW_TOKENS") is not None | |
| else 2048 | |
| ) | |
| DEFAULT_MAX_NEW_TOKENS = ( | |
| int(os.getenv("DEFAULT_MAX_NEW_TOKENS")) | |
| if os.getenv("DEFAULT_MAX_NEW_TOKENS") is not None | |
| else 1024 | |
| ) | |
| MAX_INPUT_TOKEN_LENGTH = ( | |
| int(os.getenv("MAX_INPUT_TOKEN_LENGTH")) | |
| if os.getenv("MAX_INPUT_TOKEN_LENGTH") is not None | |
| else 4000 | |
| ) | |
| MODEL_PATH = os.getenv("MODEL_PATH") | |
| assert MODEL_PATH is not None, f"MODEL_PATH is required, got: {MODEL_PATH}" | |
| LOAD_IN_8BIT = bool(strtobool(os.getenv("LOAD_IN_8BIT", "True"))) | |
| LOAD_IN_4BIT = bool(strtobool(os.getenv("LOAD_IN_4BIT", "True"))) | |
| LLAMA_CPP = bool(strtobool(os.getenv("LLAMA_CPP", "True"))) | |
| if LLAMA_CPP: | |
| print("Running on CPU with llama.cpp.") | |
| else: | |
| import torch | |
| if torch.cuda.is_available(): | |
| print("Running on GPU with torch transformers.") | |
| else: | |
| print("CUDA not found.") | |
| config = { | |
| "model_name": MODEL_PATH, | |
| "load_in_8bit": LOAD_IN_8BIT, | |
| "load_in_4bit": LOAD_IN_4BIT, | |
| "llama_cpp": LLAMA_CPP, | |
| "MAX_INPUT_TOKEN_LENGTH": MAX_INPUT_TOKEN_LENGTH, | |
| } | |
| llama2_wrapper = LLAMA2_WRAPPER(config) | |
| llama2_wrapper.init_tokenizer() | |
| llama2_wrapper.init_model() | |
| DESCRIPTION = """ | |
| # llama2-webui | |
| This is a chatbot based on Llama-2. | |
| - Supporting models: [Llama-2-7b](https://huggingface.co/TheBloke/Llama-2-7B-Chat-GGML)/[13b](https://huggingface.co/llamaste/Llama-2-13b-chat-hf)/[70b](https://huggingface.co/llamaste/Llama-2-70b-chat-hf), all [Llama-2-GPTQ](https://huggingface.co/TheBloke/Llama-2-7b-Chat-GPTQ), all [Llama-2-GGML](https://huggingface.co/TheBloke/Llama-2-7B-Chat-GGML) ... | |
| - Supporting model backends | |
| - Nvidia GPU(at least 6 GB VRAM): tranformers, [bitsandbytes(8-bit inference)](https://github.com/TimDettmers/bitsandbytes), [AutoGPTQ(4-bit inference)](https://github.com/PanQiWei/AutoGPTQ) | |
| - CPU(at least 6 GB RAM), Mac/AMD GPU: [llama.cpp](https://github.com/ggerganov/llama.cpp) | |
| """ | |
| 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 = llama2_wrapper.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 = llama2_wrapper.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) | |
| 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=1.0, | |
| ) | |
| 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=1000, | |
| step=1, | |
| value=50, | |
| ) | |
| gr.Examples( | |
| examples=[ | |
| "Hello there! How are you doing?", | |
| "Can you explain briefly to me what is the Python programming language?", | |
| "Explain the plot of Cinderella in a sentence.", | |
| "How many hours does it take a man to eat a Helicopter?", | |
| "Write a 100-word article on 'Benefits of Open-Source in AI research'", | |
| ], | |
| inputs=textbox, | |
| outputs=[textbox, chatbot], | |
| fn=process_example, | |
| cache_examples=True, | |
| ) | |
| 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=20).launch(share=True) | |