├── assets ├── Wechat.jpeg ├── 这个男人能嫁吗.jpg ├── product1.png ├── product3.png ├── saofund2.png └── sft_demo.png ├── .gitignore ├── README_zh.md ├── README.md ├── cli_demo.py └── LICENSE /assets/Wechat.jpeg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/saofund/marrywise-llm/HEAD/assets/Wechat.jpeg -------------------------------------------------------------------------------- /assets/这个男人能嫁吗.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/saofund/marrywise-llm/HEAD/assets/这个男人能嫁吗.jpg -------------------------------------------------------------------------------- /assets/product1.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/saofund/marrywise-llm/HEAD/assets/product1.png -------------------------------------------------------------------------------- /assets/product3.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/saofund/marrywise-llm/HEAD/assets/product3.png -------------------------------------------------------------------------------- /assets/saofund2.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/saofund/marrywise-llm/HEAD/assets/saofund2.png -------------------------------------------------------------------------------- /assets/sft_demo.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/saofund/marrywise-llm/HEAD/assets/sft_demo.png -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # Byte-compiled / optimized / DLL files 2 | __pycache__/ 3 | *.py[cod] 4 | *$py.class 5 | 6 | # C extensions 7 | *.so 8 | 9 | # Distribution / packaging 10 | .Python 11 | build/ 12 | develop-eggs/ 13 | dist/ 14 | downloads/ 15 | eggs/ 16 | .eggs/ 17 | lib/ 18 | lib64/ 19 | parts/ 20 | sdist/ 21 | var/ 22 | wheels/ 23 | share/python-wheels/ 24 | *.egg-info/ 25 | .installed.cfg 26 | *.egg 27 | MANIFEST 28 | 29 | # PyInstaller 30 | # Usually these files are written by a python script from a template 31 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 32 | *.manifest 33 | *.spec 34 | 35 | # Installer logs 36 | pip-log.txt 37 | pip-delete-this-directory.txt 38 | 39 | # Unit test / coverage reports 40 | htmlcov/ 41 | .tox/ 42 | .nox/ 43 | .coverage 44 | .coverage.* 45 | .cache 46 | nosetests.xml 47 | coverage.xml 48 | *.cover 49 | *.py,cover 50 | .hypothesis/ 51 | .pytest_cache/ 52 | cover/ 53 | 54 | # Translations 55 | *.mo 56 | *.pot 57 | 58 | # Django stuff: 59 | *.log 60 | local_settings.py 61 | db.sqlite3 62 | db.sqlite3-journal 63 | 64 | # Flask stuff: 65 | instance/ 66 | .webassets-cache 67 | 68 | # Scrapy stuff: 69 | .scrapy 70 | 71 | # Sphinx documentation 72 | docs/_build/ 73 | 74 | # PyBuilder 75 | .pybuilder/ 76 | target/ 77 | 78 | # Jupyter Notebook 79 | .ipynb_checkpoints 80 | 81 | # IPython 82 | profile_default/ 83 | ipython_config.py 84 | 85 | # pyenv 86 | # For a library or package, you might want to ignore these files since the code is 87 | # intended to run in multiple environments; otherwise, check them in: 88 | # .python-version 89 | 90 | # pipenv 91 | # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. 92 | # However, in case of collaboration, if having platform-specific dependencies or dependencies 93 | # having no cross-platform support, pipenv may install dependencies that don't work, or not 94 | # install all needed dependencies. 95 | #Pipfile.lock 96 | 97 | # poetry 98 | # Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. 99 | # This is especially recommended for binary packages to ensure reproducibility, and is more 100 | # commonly ignored for libraries. 101 | # https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control 102 | #poetry.lock 103 | 104 | # pdm 105 | # Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. 106 | #pdm.lock 107 | # pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it 108 | # in version control. 109 | # https://pdm.fming.dev/latest/usage/project/#working-with-version-control 110 | .pdm.toml 111 | .pdm-python 112 | .pdm-build/ 113 | 114 | # PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm 115 | __pypackages__/ 116 | 117 | # Celery stuff 118 | celerybeat-schedule 119 | celerybeat.pid 120 | 121 | # SageMath parsed files 122 | *.sage.py 123 | 124 | # Environments 125 | .env 126 | .venv 127 | env/ 128 | venv/ 129 | ENV/ 130 | env.bak/ 131 | venv.bak/ 132 | 133 | # Spyder project settings 134 | .spyderproject 135 | .spyproject 136 | 137 | # Rope project settings 138 | .ropeproject 139 | 140 | # mkdocs documentation 141 | /site 142 | 143 | # mypy 144 | .mypy_cache/ 145 | .dmypy.json 146 | dmypy.json 147 | 148 | # Pyre type checker 149 | .pyre/ 150 | 151 | # pytype static type analyzer 152 | .pytype/ 153 | 154 | # Cython debug symbols 155 | cython_debug/ 156 | 157 | # PyCharm 158 | # JetBrains specific template is maintained in a separate JetBrains.gitignore that can 159 | # be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore 160 | # and can be added to the global gitignore or merged into this file. For a more nuclear 161 | # option (not recommended) you can uncomment the following to ignore the entire idea folder. 162 | #.idea/ 163 | -------------------------------------------------------------------------------- /README_zh.md: -------------------------------------------------------------------------------- 1 | ![# MarryWise](assets/这个男人能嫁吗.jpg) 2 | 3 | 4 | 5 | [![GitHub Code License](https://img.shields.io/github/license/saofund/marrywise-llm)](LICENSE) 6 | [![GitHub last commit](https://img.shields.io/github/last-commit/saofund/marrywise-llm)](https://github.com/saofund/marrywise-llm/commits/main) 7 | [![Studios](https://img.shields.io/badge/ModelScope-Open%20in%20ModelScope-blue)](https://www.modelscope.cn/models/saofund/marrywise-7b-lora) 8 | [![Spaces](https://img.shields.io/badge/🤗-Open%20in%20huggingface-blue)](https://huggingface.co/saofund/marrywise-7b-lora) 9 | [![Twitter](https://img.shields.io/twitter/follow/sáofund)](https://x.com/976582772Wyt) 10 | 11 | \[ English | [中文](README_zh.md) \] 12 | 13 | 14 | 15 | 16 | | [![在线体验](https://img.shields.io/badge/在线地址-这个男人能嫁吗.com-blue)](https://xn--ciqpnj1l70hxw9az0oyqy.com/) | [![在线体验2](https://img.shields.io/badge/在线地址2-访问-blue)](https://can-he-marry.com/) | 17 | |---|---| 18 | | [![Product 1](assets/product1.png)](https://can-he-marry.com/) | [![Product 2](assets/product3.png)](https://can-he-marry.com/) | 19 | 20 | 21 | ## 功能特点 22 | 23 | - **AI 相亲分析师**：利用先进的 AI 技术，自动分析约会中的行为和言语模式，揭示隐藏的动机和真实的性格特征。 24 | - **AI 打假媒婆**：帮助用户识别约会过程中的潜在欺骗行为，确保伴侣的真实性和可靠性。 25 | 26 | ## 主要分析维度 27 | 28 | - **性格真实性**：通过行为和言语分析，评估潜在伴侣的真实性格。 29 | - **实际动机**：揭示求婚者行为背后的真实意图，防止被表象所迷惑。 30 | - **个人成就**：评估求婚者的个人成就和能力，确保其描述与实际情况一致。 31 | 32 | 33 | ## 微调数据示例 34 | 使用 [Qwen2-7B](https://qwen.readthedocs.io/en/latest/getting_started/quickstart.html) 微调，微调数据示例（即将开源）。 35 | 36 | 37 | | 输入（条件） | 输出：（分析、大模型转换后） | 38 | | -------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | 39 | | 1. 32岁，178
2. 收房租，年收入15104
3. 6套房，一辆代步车
4. 爱干净，爱做饭，爱老婆，父母离异跟母亲，母亲温柔。 | 🔍 隐藏的秘密：他不想让你知道的真相
在闪耀的相亲市场，每个人都试图展示自己最好的一面。但小心那些未被言说的秘密，它们可能是你幸福之路上的绊脚石。
🍳 烹饪背后的体重迷思
他自称烹饪大师，生活轻松自在。但数字不会说谎：未提及的体重可能暗示着不健康的生活方式。在你品尝美食的同时，不要忽视长期健康的风险。
💰 财产来源的疑问
六套房产，一辆车——看似稳固的经济基础。但这些财产来自何方？拆迁户的身份可能是幸运的象征，也可能是缺乏进取心的标志。
👨‍👩‍👦 家庭关系的复杂性
他称赞母亲的温柔和易相处，但这是否意味着他无法独立？单亲家庭背景下的母子关系可能比表面看起来要复杂得多，这可能会影响未来的家庭和谐。
💍 “爱妻”标签的陷阱
“爱老婆”听起来很完美，但小心这是一种心理战术。在深入了解他的真实意图之前，不要轻易被这个标签迷惑。
🔍 深入挖掘：真正的动机是什么？
他了解女性，但为何仍单身？在他的完美外表下，可能隐藏着不为人知的秘密。在做出决定之前，请揭开那层薄纱，看清他的真实动机。 | 40 | 41 | 42 | ## 本地启动 43 | 44 | ##### 详细步骤： 45 | 46 | ```shell 47 | # 下载Qwen2-7B-Instruct模型：https://modelscope.cn/models/qwen/Qwen2-7B/files 48 | git lfs install 49 | git clone https://www.modelscope.cn/qwen/Qwen2-7B.git 50 | 51 | # 下载lora权重，中文区使用modelscope下载会更快 52 | git clone https://oauth2:pVjFTH_CP5Jrqu6DNVVF@www.modelscope.cn/saofund/marrywise-7b-lora.git 53 | 54 | # 安装 LLaMA-Factory 55 | git clone --depth 1 https://github.com/hiyouga/LLaMA-Factory.git 56 | cd LLaMA-Factory 57 | pip install -e ".[torch,metrics]" # 安装依赖，这里最好按官方乖乖装完 58 | 59 | # 使用LLaMA-Factory 合并lora权重 60 | # 需要GPU，大概12G显存占用 61 | llamafactory-cli export \ 62 | --model_name_or_path Qwen2-7B-Instruct \ # 刚下载的Qwen2-7B权重 63 | --adapter_name_or_path output_qwen\ # lora权重路径 64 | --template qwen \ # 默认 65 | --finetuning_type lora \ # 默认 66 | --export_dir lora_full_param_model \ # 完整权重的输出路径 67 | --export_size 2 \ # 默认 68 | --export_legacy_format False # 默认 69 | 70 | # Qwen2的官方推理测试脚本，替换权重路径为刚才的合并后的路径 71 | python cli_demo.py -c 合并后的权重路径 # 大概15G显存 72 | 73 | # 请注意，由于lora微调的“风格”特性，需要在问题的开头加入特定提示词： 74 | # 你的身份是一个相亲条件分析师，专门寻找男方条件中“隐瞒没有说”的条件，分析“相亲中男生没有说的秘密”。xxxx（后面跟具体条件） 75 | 76 | ``` 77 | 78 | 79 | ##### 本地运行cli结果： 80 | CLI Result 81 | 82 | 83 | #### 欢迎联系作者 84 | 85 | 数据集获取、模型、算法、技术交流、合作开发等，欢迎添加作者微信。 86 | 87 | | 作者微信二维码 | sáo基金赞助 | 88 | |---|---| 89 | | ![作者的微信二维码](assets/Wechat.jpeg) | ![sáo基金标志](assets/saofund2.png) | 90 | | 数据集获取、模型、算法、技术交流、合作开发等，欢迎添加作者微信。 | 由 sáo 基金赞助，感谢。 | 91 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | ![# MarryWise](assets/这个男人能嫁吗.jpg) 2 | 3 | 4 | 5 | [![GitHub Code License](https://img.shields.io/github/license/saofund/marrywise-llm)](LICENSE) 6 | [![GitHub last commit](https://img.shields.io/github/last-commit/saofund/marrywise-llm)](https://github.com/saofund/marrywise-llm/commits/main) 7 | [![Studios](https://img.shields.io/badge/ModelScope-Open%20in%20ModelScope-blue)](https://www.modelscope.cn/models/saofund/marrywise-7b-lora) 8 | [![Spaces](https://img.shields.io/badge/🤗-Open%20in%20huggingface-blue)](https://huggingface.co/saofund/marrywise-7b-lora) 9 | [![Twitter](https://img.shields.io/twitter/follow/sáofund)](https://x.com/976582772Wyt) 10 | 11 | \[ English | [中文](README_zh.md) \] 12 | 13 | https://private-user-images.githubusercontent.com/42131304/346282862-d152cc91-5c53-49d8-89de-b65327b1d490.mp4 14 | 15 | 16 | 17 | | [![Online Experience](https://img.shields.io/badge/Online%20Experience-Can%20He%20Marry%20.com-blue)](https://xn--ciqpnj1l70hxw9az0oyqy.com/) | [![Online Experience 2](https://img.shields.io/badge/Online%20Experience2-Visit-blue)](https://can-he-marry.com/) | 18 | |---|---| 19 | | [![Product 1](assets/product1.png)](https://can-he-marry.com/) | [![Product 2](assets/product3.png)](https://can-he-marry.com/) | 20 | 21 | 22 | ## Features 23 | 24 | - **AI Matchmaking Analyst**: Utilizing advanced AI technology to automatically analyze behavior and speech patterns during dates, revealing hidden motives and true personality traits. 25 | - **AI Fake Matchmaker Detector**: Helps users identify potential deceitful behavior during the dating process, ensuring the authenticity and reliability of partners. 26 | 27 | ## Main Analysis Dimensions 28 | 29 | - **Personality Authenticity**: Assessing the true character of a potential partner through behavior and speech analysis. 30 | - **Actual Motives**: Revealing the real intentions behind a suitor's actions to prevent being deceived by appearances. 31 | - **Personal Achievements**: Evaluating a suitor's personal achievements and capabilities to ensure their descriptions match reality. 32 | 33 | ## Fine-tuning Data Example 34 | Fine-tuned using [Qwen2-7B](https://qwen.readthedocs.io/en/latest/getting_started/quickstart.html), example of fine-tuning data (coming soon). 35 | 36 | | Input (Conditions) | Output (After analysis, large model conversion) | 37 | | ------------------------------------------------------------------------------------------------------------------------------------------ | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | 38 | | 1. 32 years old, 178cm
2. Collects rent, annual income of 15104
3. 6 houses, one car
4. Loves cleanliness, cooking, wife, parents divorced and lives with mother, mother is gentle. | 🔍 Hidden Secrets: The truth he doesn't want you to know
In the dazzling matchmaking market, everyone tries to show their best side. But beware of those unspoken secrets, they could be stumbling blocks on your path to happiness.
🍳 The weight mystery behind cooking
He claims to be a cooking master, living an easy and comfortable life. But numbers don't lie: the undisclosed weight may hint at an unhealthy lifestyle. Don't overlook long-term health risks while enjoying the delicacies.
💰 Questions about property origin
Six properties, one car—seemingly solid financial foundation. But where do these assets come from? Being a demolition household might signify luck, or it could indicate a lack of ambition.
👨‍👩‍👦 Complexity of family relationships
He praises his mother's gentleness and easy-going nature, but does it mean he cannot be independent? The mother-son relationship in a single-parent family may be more complex than it appears, potentially affecting future family harmony.
💍 The "loving wife" label trap
"Loving wife" sounds perfect, but beware it could be a psychological tactic. Don't be easily fooled by this label without delving into his true intentions.
🔍 Deep Dive: What are the real motives?
He understands women, but why is he still single? There might be hidden secrets under his perfect exterior. Uncover the veil and see his true motives before making a decision. | 39 | 40 | ## Local Setup 41 | 42 | ##### Detailed Steps: 43 | 44 | ```shell 45 | # Download Qwen2-7B-Instruct model: https://modelscope.cn/models/qwen/Qwen2-7B/files 46 | git lfs install 47 | git clone https://www.modelscope.cn/qwen/Qwen2-7B.git 48 | 49 | # Download lora weights 50 | git clone https://huggingface.co/saofund/marrywise-7b-lora 51 | 52 | # Install LLaMA-Factory 53 | git clone --depth 1 https://github.com/hiyouga/LLaMA-Factory.git 54 | cd LLaMA-Factory 55 | pip install -e ".[torch,metrics]" # Install dependencies, follow the official instructions 56 | 57 | # Use LLaMA-Factory to merge lora weights 58 | # Requires GPU, approximately 12G VRAM usage 59 | llamafactory-cli export \ 60 | --model_name_or_path Qwen2-7B-Instruct \ # The just downloaded Qwen2-7B weights 61 | --adapter_name_or_path output_qwen\ # Path to lora weights 62 | --template qwen \ # Default 63 | --finetuning_type lora \ # Default 64 | --export_dir lora_full_param_model \ # Output path for full weights 65 | --export_size 2 \ # Default 66 | --export_legacy_format False # Default 67 | 68 | # Official Qwen2 inference test script, replace the weight path with the merged path 69 | python cli_demo.py -c path_to_merged_weights # Approximately 15G VRAM 70 | 71 | # Note: Due to the "style" characteristics of lora fine-tuning, specific prompt words need to be added at the beginning of the question: 72 | # Your role is a matchmaking condition analyst, specializing in identifying the "hidden" conditions not mentioned by the male party, analyzing the "secrets not mentioned" in matchmaking. xxxx (followed by specific conditions) 73 | 74 | ``` 75 | ##### Local CLI Result: 76 | CLI Result 77 | 78 | #### Contact the Author 79 | 80 | For dataset acquisition, models, algorithms, technical exchanges, and collaborative development, feel free to add the author's WeChat. 81 | 82 | | Author's WeChat QR Code | sáo Fund Sponsorship | 83 | |---|---| 84 | | ![Author's WeChat QR Code](assets/Wechat.jpeg) | ![sáo Fund Logo](assets/saofund2.png) | 85 | | For dataset acquisition, models, algorithms, technical exchanges, and collaborative development, feel free to add the author's WeChat. | Sponsored by sáo Fund, thank you. | 86 | -------------------------------------------------------------------------------- /cli_demo.py: -------------------------------------------------------------------------------- 1 | """A simple command-line interactive chat demo.""" 2 | 3 | import argparse 4 | import os 5 | import platform 6 | import shutil 7 | from copy import deepcopy 8 | from threading import Thread 9 | 10 | import torch 11 | from transformers import AutoModelForCausalLM, AutoTokenizer, TextIteratorStreamer 12 | from transformers.trainer_utils import set_seed 13 | 14 | DEFAULT_CKPT_PATH = 'Qwen/Qwen2-7B-Instruct' 15 | 16 | _WELCOME_MSG = '''\ 17 | Welcome to use Qwen2-Instruct model, type text to start chat, type :h to show command help. 18 | (欢迎使用 Qwen2-Instruct 模型，输入内容即可进行对话，:h 显示命令帮助。) 19 | 20 | Note: This demo is governed by the original license of Qwen2. 21 | We strongly advise users not to knowingly generate or allow others to knowingly generate harmful content, including hate speech, violence, pornography, deception, etc. 22 | (注：本演示受Qwen2的许可协议限制。我们强烈建议，用户不应传播及不应允许他人传播以下内容，包括但不限于仇恨言论、暴力、色情、欺诈相关的有害信息。) 23 | ''' 24 | _HELP_MSG = '''\ 25 | Commands: 26 | :help / :h Show this help message 显示帮助信息 27 | :exit / :quit / :q Exit the demo 退出Demo 28 | :clear / :cl Clear screen 清屏 29 | :clear-history / :clh Clear history 清除对话历史 30 | :history / :his Show history 显示对话历史 31 | :seed Show current random seed 显示当前随机种子 32 | :seed Set random seed to 设置随机种子 33 | :conf Show current generation config 显示生成配置 34 | :conf = Change generation config 修改生成配置 35 | :reset-conf Reset generation config 重置生成配置 36 | ''' 37 | _ALL_COMMAND_NAMES = [ 38 | 'help', 'h', 'exit', 'quit', 'q', 'clear', 'cl', 'clear-history', 'clh', 'history', 'his', 39 | 'seed', 'conf', 'reset-conf', 40 | ] 41 | 42 | 43 | def _setup_readline(): 44 | try: 45 | import readline 46 | except ImportError: 47 | return 48 | 49 | _matches = [] 50 | 51 | def _completer(text, state): 52 | nonlocal _matches 53 | 54 | if state == 0: 55 | _matches = [cmd_name for cmd_name in _ALL_COMMAND_NAMES if cmd_name.startswith(text)] 56 | if 0 <= state < len(_matches): 57 | return _matches[state] 58 | return None 59 | 60 | readline.set_completer(_completer) 61 | readline.parse_and_bind('tab: complete') 62 | 63 | 64 | def _load_model_tokenizer(args): 65 | tokenizer = AutoTokenizer.from_pretrained( 66 | args.checkpoint_path, resume_download=True, 67 | ) 68 | 69 | if args.cpu_only: 70 | device_map = "cpu" 71 | else: 72 | device_map = "auto" 73 | 74 | model = AutoModelForCausalLM.from_pretrained( 75 | args.checkpoint_path, 76 | torch_dtype="auto", 77 | device_map=device_map, 78 | resume_download=True, 79 | ).eval() 80 | model.generation_config.max_new_tokens = 2048 # For chat. 81 | 82 | return model, tokenizer 83 | 84 | 85 | def _gc(): 86 | import gc 87 | gc.collect() 88 | if torch.cuda.is_available(): 89 | torch.cuda.empty_cache() 90 | 91 | 92 | def _clear_screen(): 93 | if platform.system() == "Windows": 94 | os.system("cls") 95 | else: 96 | os.system("clear") 97 | 98 | 99 | def _print_history(history): 100 | terminal_width = shutil.get_terminal_size()[0] 101 | print(f'History ({len(history)})'.center(terminal_width, '=')) 102 | for index, (query, response) in enumerate(history): 103 | print(f'User[{index}]: {query}') 104 | print(f'QWen[{index}]: {response}') 105 | print('=' * terminal_width) 106 | 107 | 108 | def _get_input() -> str: 109 | while True: 110 | try: 111 | message = input('User> ').strip() 112 | except UnicodeDecodeError: 113 | print('[ERROR] Encoding error in input') 114 | continue 115 | except KeyboardInterrupt: 116 | exit(1) 117 | if message: 118 | return message 119 | print('[ERROR] Query is empty') 120 | 121 | 122 | def _chat_stream(model, tokenizer, query, history): 123 | conversation = [ 124 | {'role': 'system', 'content': 'You are a helpful assistant.'}, 125 | ] 126 | for query_h, response_h in history: 127 | conversation.append({'role': 'user', 'content': query_h}) 128 | conversation.append({'role': 'assistant', 'content': response_h}) 129 | conversation.append({'role': 'user', 'content': query}) 130 | inputs = tokenizer.apply_chat_template( 131 | conversation, 132 | add_generation_prompt=True, 133 | return_tensors='pt', 134 | ) 135 | inputs = inputs.to(model.device) 136 | streamer = TextIteratorStreamer(tokenizer=tokenizer, skip_prompt=True, timeout=60.0, skip_special_tokens=True) 137 | generation_kwargs = dict( 138 | input_ids=inputs, 139 | streamer=streamer, 140 | ) 141 | thread = Thread(target=model.generate, kwargs=generation_kwargs) 142 | thread.start() 143 | 144 | for new_text in streamer: 145 | yield new_text 146 | 147 | 148 | def main(): 149 | parser = argparse.ArgumentParser( 150 | description='QWen2-Instruct command-line interactive chat demo.') 151 | parser.add_argument("-c", "--checkpoint-path", type=str, default=DEFAULT_CKPT_PATH, 152 | help="Checkpoint name or path, default to %(default)r") 153 | parser.add_argument("-s", "--seed", type=int, default=1234, help="Random seed") 154 | parser.add_argument("--cpu-only", action="store_true", help="Run demo with CPU only") 155 | args = parser.parse_args() 156 | 157 | history, response = [], '' 158 | 159 | model, tokenizer = _load_model_tokenizer(args) 160 | orig_gen_config = deepcopy(model.generation_config) 161 | 162 | _setup_readline() 163 | 164 | _clear_screen() 165 | print(_WELCOME_MSG) 166 | 167 | seed = args.seed 168 | 169 | while True: 170 | query = _get_input() 171 | 172 | # Process commands. 173 | if query.startswith(':'): 174 | command_words = query[1:].strip().split() 175 | if not command_words: 176 | command = '' 177 | else: 178 | command = command_words[0] 179 | 180 | if command in ['exit', 'quit', 'q']: 181 | break 182 | elif command in ['clear', 'cl']: 183 | _clear_screen() 184 | print(_WELCOME_MSG) 185 | _gc() 186 | continue 187 | elif command in ['clear-history', 'clh']: 188 | print(f'[INFO] All {len(history)} history cleared') 189 | history.clear() 190 | _gc() 191 | continue 192 | elif command in ['help', 'h']: 193 | print(_HELP_MSG) 194 | continue 195 | elif command in ['history', 'his']: 196 | _print_history(history) 197 | continue 198 | elif command in ['seed']: 199 | if len(command_words) == 1: 200 | print(f'[INFO] Current random seed: {seed}') 201 | continue 202 | else: 203 | new_seed_s = command_words[1] 204 | try: 205 | new_seed = int(new_seed_s) 206 | except ValueError: 207 | print(f'[WARNING] Fail to change random seed: {new_seed_s!r} is not a valid number') 208 | else: 209 | print(f'[INFO] Random seed changed to {new_seed}') 210 | seed = new_seed 211 | continue 212 | elif command in ['conf']: 213 | if len(command_words) == 1: 214 | print(model.generation_config) 215 | else: 216 | for key_value_pairs_str in command_words[1:]: 217 | eq_idx = key_value_pairs_str.find('=') 218 | if eq_idx == -1: 219 | print('[WARNING] format: =') 220 | continue 221 | conf_key, conf_value_str = key_value_pairs_str[:eq_idx], key_value_pairs_str[eq_idx + 1:] 222 | try: 223 | conf_value = eval(conf_value_str) 224 | except Exception as e: 225 | print(e) 226 | continue 227 | else: 228 | print(f'[INFO] Change config: model.generation_config.{conf_key} = {conf_value}') 229 | setattr(model.generation_config, conf_key, conf_value) 230 | continue 231 | elif command in ['reset-conf']: 232 | print('[INFO] Reset generation config') 233 | model.generation_config = deepcopy(orig_gen_config) 234 | print(model.generation_config) 235 | continue 236 | else: 237 | # As normal query. 238 | pass 239 | 240 | # Run chat. 241 | set_seed(seed) 242 | _clear_screen() 243 | print(f"\nUser: {query}") 244 | print(f"\nQwen2-Instruct: ", end="") 245 | try: 246 | partial_text = '' 247 | for new_text in _chat_stream(model, tokenizer, query, history): 248 | print(new_text, end='', flush=True) 249 | partial_text += new_text 250 | response = partial_text 251 | print() 252 | 253 | except KeyboardInterrupt: 254 | print('[WARNING] Generation interrupted') 255 | continue 256 | 257 | history.append((query, response)) 258 | 259 | 260 | if __name__ == "__main__": 261 | main() 262 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | Apache License 2 | Version 2.0, January 2004 3 | http://www.apache.org/licenses/ 4 | 5 | TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 6 | 7 | 1. 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