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| import os | |
| from openai import OpenAI | |
| import gradio as gr | |
| import socket | |
| hostname=socket.gethostname() | |
| IPAddr=socket.gethostbyname(hostname) | |
| print("Your Computer Name is:" + hostname) | |
| print("Your Computer IP Address is:" + IPAddr) | |
| DESCRIPTION = """ | |
| # Cloned from MediaTek Research Breeze-7B | |
| MediaTek Research Breeze-7B (hereinafter referred to as Breeze-7B) is a language model family that builds on top of [Mistral-7B](https://huggingface.co/mistralai/Mistral-7B-v0.1), specifically intended for Traditional Chinese use. | |
| [Breeze-7B-Base](https://huggingface.co/MediaTek-Research/Breeze-7B-Base-v1_0) is the base model for the Breeze-7B series. | |
| It is suitable for use if you have substantial fine-tuning data to tune it for your specific use case. | |
| [Breeze-7B-Instruct](https://huggingface.co/MediaTek-Research/Breeze-7B-Instruct-v1_0) derives from the base model Breeze-7B-Base, making the resulting model amenable to be used as-is for commonly seen tasks. | |
| This App is cloned from [Demo-MR-Breeze-7B](https://huggingface.co/spaces/MediaTek-Research/Demo-MR-Breeze-7B) | |
| """ | |
| LICENSE = """ | |
| """ | |
| DEFAULT_SYSTEM_PROMPT = "You are a helpful AI assistant built by MediaTek Research. The user you are helping speaks Traditional Chinese and comes from Taiwan." | |
| API_URL = os.environ.get("API_URL") | |
| TOKEN = os.environ.get("TOKEN") | |
| TOKENIZER_REPO = "MediaTek-Research/Breeze-7B-Instruct-v1_0" | |
| MODEL_NAME = os.environ.get("MODEL_NAME") | |
| MAX_SEC = 30 | |
| MAX_INPUT_LENGTH = 5000 | |
| def chat_with_openai(model_name, system_message, user_message, temperature=0.5, max_tokens=1024, top_p=0.5): | |
| client = OpenAI( | |
| base_url=os.path.join(API_URL, "v1/"), | |
| api_key=TOKEN | |
| ) | |
| chat_completion = client.chat.completions.create( | |
| model=model_name, | |
| messages=[ | |
| { | |
| "role": "system", | |
| "content": system_message | |
| }, | |
| { | |
| "role": "user", | |
| "content": user_message | |
| } | |
| ], | |
| temperature=temperature, | |
| max_tokens=max_tokens, | |
| top_p=top_p, | |
| stream=True | |
| ) | |
| for message in chat_completion: | |
| yield message.choices[0].delta.content | |
| def refusal_condition(query): | |
| # 不要再問這些問題啦！ | |
| query_remove_space = query.replace(' ', '').lower() | |
| is_including_tw = False | |
| for x in ['台灣', '台湾', 'taiwan', 'tw', '中華民國', '中华民国']: | |
| if x in query_remove_space: | |
| is_including_tw = True | |
| is_including_cn = False | |
| for x in ['中國', '中国', 'cn', 'china', '大陸', '內地', '大陆', '内地', '中華人民共和國', '中华人民共和国']: | |
| if x in query_remove_space: | |
| is_including_cn = True | |
| if is_including_tw and is_including_cn: | |
| return True | |
| for x in ['一個中國', '兩岸', '一中原則', '一中政策', '一个中国', '两岸', '一中原则']: | |
| if x in query_remove_space: | |
| return True | |
| return False | |
| with gr.Blocks() as demo: | |
| # Check if the API_URL and TOKEN are set | |
| if API_URL is None: | |
| raise gr.Error("API_URL is not set as an environment variable.") | |
| if TOKEN is None: | |
| raise gr.Error("TOKEN is not set as an environment variable.") | |
| if MODEL_NAME is None: | |
| raise gr.Error("MODEL_NAME is not set as an environment variable.") | |
| gr.Markdown(DESCRIPTION) | |
| system_prompt = gr.Textbox(label='System prompt', | |
| value=DEFAULT_SYSTEM_PROMPT, | |
| lines=1) | |
| with gr.Accordion(label='Advanced options', open=False): | |
| max_new_tokens = gr.Slider( | |
| label='Max new tokens', | |
| minimum=32, | |
| maximum=2048, | |
| step=1, | |
| value=1024, | |
| ) | |
| temperature = gr.Slider( | |
| label='Temperature', | |
| minimum=0.01, | |
| maximum=0.5, | |
| step=0.01, | |
| value=0.01, | |
| ) | |
| top_p = gr.Slider( | |
| label='Top-p (nucleus sampling)', | |
| minimum=0.01, | |
| maximum=0.99, | |
| step=0.01, | |
| value=0.01, | |
| ) | |
| chatbot = gr.Chatbot(show_copy_button=True, show_share_button=True, ) | |
| with gr.Row(): | |
| msg = gr.Textbox( | |
| container=False, | |
| show_label=False, | |
| placeholder='Type a message...', | |
| scale=10, | |
| lines=6 | |
| ) | |
| 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 = gr.Button('🗑️ Clear', variant='secondary') | |
| saved_input = gr.State() | |
| def user(user_message, history): | |
| return "", history + [[user_message, None]] | |
| def bot(history, max_new_tokens, temperature, top_p, system_prompt): | |
| chat_data = [] | |
| system_prompt = system_prompt.strip() | |
| if system_prompt: | |
| chat_data.append({"role": "system", "content": system_prompt}) | |
| for user_msg, assistant_msg in history: | |
| chat_data.append({"role": "user", "content": user_msg if user_msg is not None else ''}) | |
| chat_data.append({"role": "assistant", "content": assistant_msg if assistant_msg is not None else ''}) | |
| response = '[ERROR]' | |
| if refusal_condition(history[-1][0]): | |
| history = [['[安全拒答啟動]', '[安全拒答啟動] 請清除再開啟對話']] | |
| response = '[REFUSAL]' | |
| yield history | |
| else: | |
| r = chat_with_openai( | |
| MODEL_NAME, | |
| system_prompt, | |
| history[-1][0], | |
| temperature, | |
| max_new_tokens, | |
| top_p) | |
| if r is not None: | |
| for delta in r: | |
| if history[-1][1] is None: | |
| history[-1][1] = '' | |
| if delta is None: | |
| delta = '' | |
| history[-1][1] += delta | |
| yield history | |
| if history[-1][1].endswith('</s>'): | |
| history[-1][1] = history[-1][1][:-4] | |
| yield history | |
| response = history[-1][1] | |
| if refusal_condition(history[-1][1]): | |
| history[-1][1] = history[-1][1] + '\n\n**[免責聲明: 此模型並未針對問答進行安全保護，因此語言模型的任何回應不代表 MediaTek Research 立場。]**' | |
| yield history | |
| else: | |
| del history[-1] | |
| yield history | |
| print('== Record ==\nQuery: {query}\nResponse: {response}'.format(query=repr(history[-1][0]), response=repr(history[-1][1]))) | |
| msg.submit(user, [msg, chatbot], [msg, chatbot], queue=False).then( | |
| fn=bot, | |
| inputs=[ | |
| chatbot, | |
| max_new_tokens, | |
| temperature, | |
| top_p, | |
| system_prompt, | |
| ], | |
| outputs=chatbot | |
| ) | |
| submit_button.click( | |
| user, [msg, chatbot], [msg, chatbot], queue=False | |
| ).then( | |
| fn=bot, | |
| inputs=[ | |
| chatbot, | |
| max_new_tokens, | |
| temperature, | |
| top_p, | |
| system_prompt, | |
| ], | |
| outputs=chatbot | |
| ) | |
| 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 display_input(message: str, | |
| history: list[tuple[str, str]]) -> list[tuple[str, str]]: | |
| history.append((message, '')) | |
| return history | |
| 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=bot, | |
| inputs=[ | |
| chatbot, | |
| max_new_tokens, | |
| temperature, | |
| top_p, | |
| system_prompt, | |
| ], | |
| outputs=chatbot, | |
| ) | |
| 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=msg, | |
| api_name=False, | |
| queue=False, | |
| ) | |
| clear.click(lambda: None, None, chatbot, queue=False) | |
| gr.Markdown(LICENSE) | |
| demo.queue(default_concurrency_limit=10) | |
| demo.launch() |