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{"repo": "2404589803/hf-daily-paper-newsletter-chinese", "files": {"utils.py": {"da00d1f256f56ff4c61d51d97375ea89d8cf7c8e": {"t": 1785674052.3851888, "n": 2064, "h": "40ffae19cc8396a4", "c": "import logging\nimport os\nfrom datetime import datetime\nimport hashlib\nimport hmac\nimport time\nimport base64\nfrom functools import wraps\n\n# 默认配置\nDEFAULT_MODEL = \"deepseek-chat\"\nSUPPORTED_MODELS = {\n \"deepseek-chat\": \"DeepSeek Chat\",\n}\n\ndef setup_logger():\n \"\"\"设置日志记录器\"\"\"\n # 创建logs目录\n os.makedirs('logs', exist_ok=True)\n \n # 获取当前日期作为日志文件名\n log_file = os.path.join('logs', f\"{time.strftime('%Y-%m-%d')}.log\")\n \n # 配置日志记录器\n logging.basicConfig(\n level=logging.INFO,\n format='%(asctime)s - %(levelname)s - %(message)s',\n handlers=[\n logging.FileHandler(log_file, encoding='utf-8'),\n logging.StreamHandler()\n ]\n )\n \n return logging.getLogger(__name__)\n\ndef is_original_repo():\n \"\"\"检查是否为原始仓库\"\"\"\n try:\n repo = os.getenv('GITHUB_REPOSITORY', '')\n return repo == '2404589803/hf-daily-paper-newsletter-chinese'\n except:\n return False\n\ndef validate_api_key(api_key):\n \"\"\"验证API Key是否有效\"\"\"\n if not api_key or len(api_key) < 32: # 简单的长度检查\n return False\n return True\n\ndef get_model_name():\n \"\"\"获取要使用的模型名称\"\"\"\n return DEFAULT_MODEL # 直接返回默认模型\n\ndef require_auth(func):\n \"\"\"验证装饰器\"\"\"\n @wraps(func)\n def wrapper(*args, **kwargs):\n api_key = os.getenv('DEEPSEEK_API_KEY')\n if not api_key:\n raise ValueError(\"未设置 DEEPSEEK_API_KEY 环境变量。如果这是一个fork的仓库，请在仓库的Settings->Secrets->Actions中设置您自己的DEEPSEEK_API_KEY。\")\n \n # 验证API Key\n if not validate_api_key(api_key):\n raise ValueError(\"无效的 API Key 格式\")\n \n # 如果是原始仓库，直接允许访问\n if is_original_repo():\n return func(*args, **kwargs)\n \n # 如果是fork的仓库，确保使用的是自己的API Key\n if api_key.startswith('sk-'): # 假设这是一个新的API Key\n return func(*args, **kwargs)\n else:\n raise ValueError(\"Fork仓库必须使用自己的API Key。请在仓库的Settings->Secrets->Actions中设置您自己的DEEPSEEK_API_KEY。\")\n \n return wrapper\n\ndef get_logger():\n \"\"\"获取日志记录器\"\"\"\n return logging.getLogger('HF-daily-paper') "}, "a1d6436af9bde861196af3d89f1b9a50ba8e7832": {"t": 1785771954.6827672, "n": 2064, "h": "40ffae19cc8396a4", "c": "import logging\nimport os\nfrom datetime import datetime\nimport hashlib\nimport hmac\nimport time\nimport base64\nfrom functools import wraps\n\n# 默认配置\nDEFAULT_MODEL = \"deepseek-chat\"\nSUPPORTED_MODELS = {\n \"deepseek-chat\": \"DeepSeek Chat\",\n}\n\ndef setup_logger():\n \"\"\"设置日志记录器\"\"\"\n # 创建logs目录\n os.makedirs('logs', exist_ok=True)\n \n # 获取当前日期作为日志文件名\n log_file = os.path.join('logs', f\"{time.strftime('%Y-%m-%d')}.log\")\n \n # 配置日志记录器\n logging.basicConfig(\n level=logging.INFO,\n format='%(asctime)s - %(levelname)s - %(message)s',\n handlers=[\n logging.FileHandler(log_file, encoding='utf-8'),\n logging.StreamHandler()\n ]\n )\n \n return logging.getLogger(__name__)\n\ndef is_original_repo():\n \"\"\"检查是否为原始仓库\"\"\"\n try:\n repo = os.getenv('GITHUB_REPOSITORY', '')\n return repo == '2404589803/hf-daily-paper-newsletter-chinese'\n except:\n return False\n\ndef validate_api_key(api_key):\n \"\"\"验证API Key是否有效\"\"\"\n if not api_key or len(api_key) < 32: # 简单的长度检查\n return False\n return True\n\ndef get_model_name():\n \"\"\"获取要使用的模型名称\"\"\"\n return DEFAULT_MODEL # 直接返回默认模型\n\ndef require_auth(func):\n \"\"\"验证装饰器\"\"\"\n @wraps(func)\n def wrapper(*args, **kwargs):\n api_key = os.getenv('DEEPSEEK_API_KEY')\n if not api_key:\n raise ValueError(\"未设置 DEEPSEEK_API_KEY 环境变量。如果这是一个fork的仓库，请在仓库的Settings->Secrets->Actions中设置您自己的DEEPSEEK_API_KEY。\")\n \n # 验证API Key\n if not validate_api_key(api_key):\n raise ValueError(\"无效的 API Key 格式\")\n \n # 如果是原始仓库，直接允许访问\n if is_original_repo():\n return func(*args, **kwargs)\n \n # 如果是fork的仓库，确保使用的是自己的API Key\n if api_key.startswith('sk-'): # 假设这是一个新的API Key\n return func(*args, **kwargs)\n else:\n raise ValueError(\"Fork仓库必须使用自己的API Key。请在仓库的Settings->Secrets->Actions中设置您自己的DEEPSEEK_API_KEY。\")\n \n return wrapper\n\ndef get_logger():\n \"\"\"获取日志记录器\"\"\"\n return logging.getLogger('HF-daily-paper') "}, "4ddfab3b6352985219c459049b98d8e65f6f7f4f": {"t": 1785771956.1615384, "n": 1882, "h": "3e35d4edce209aef", "c": "import logging\nimport os\nfrom datetime import datetime\nimport hashlib\nimport hmac\nimport time\nimport base64\nfrom functools import wraps\n\ndef setup_logger():\n \"\"\"设置日志记录器\"\"\"\n # 创建logs目录\n os.makedirs('logs', exist_ok=True)\n \n # 获取当前日期作为日志文件名\n log_file = os.path.join('logs', f\"{time.strftime('%Y-%m-%d')}.log\")\n \n # 配置日志记录器\n logging.basicConfig(\n level=logging.INFO,\n format='%(asctime)s - %(levelname)s - %(message)s',\n handlers=[\n logging.FileHandler(log_file, encoding='utf-8'),\n logging.StreamHandler()\n ]\n )\n \n return logging.getLogger(__name__)\n\ndef is_original_repo():\n \"\"\"检查是否为原始仓库\"\"\"\n try:\n repo = os.getenv('GITHUB_REPOSITORY', '')\n return repo == '2404589803/hf-daily-paper-newsletter-chinese'\n except:\n return False\n\ndef validate_api_key(api_key):\n \"\"\"验证API Key是否有效\"\"\"\n if not api_key or len(api_key) < 32: # 简单的长度检查\n return False\n return True\n\ndef require_auth(func):\n \"\"\"验证装饰器\"\"\"\n @wraps(func)\n def wrapper(*args, **kwargs):\n api_key = os.getenv('DEEPSEEK_API_KEY')\n if not api_key:\n raise ValueError(\"未设置 DEEPSEEK_API_KEY 环境变量。如果这是一个fork的仓库，请在仓库的Settings->Secrets->Actions中设置您自己的DEEPSEEK_API_KEY。\")\n \n # 验证API Key\n if not validate_api_key(api_key):\n raise ValueError(\"无效的 API Key 格式\")\n \n # 如果是原始仓库，直接允许访问\n if is_original_repo():\n return func(*args, **kwargs)\n \n # 如果是fork的仓库，确保使用的是自己的API Key\n if api_key.startswith('sk-'): # 假设这是一个新的API Key\n return func(*args, **kwargs)\n else:\n raise ValueError(\"Fork仓库必须使用自己的API Key。请在仓库的Settings->Secrets->Actions中设置您自己的DEEPSEEK_API_KEY。\")\n \n return wrapper\n\ndef get_logger():\n \"\"\"获取日志记录器\"\"\"\n return logging.getLogger('HF-daily-paper') "}, "887b066f944d66500b3388fb1ae22331535500a1": {"t": 1785771957.6162841, "n": 965, "h": "5f2914d549e0b43f", "c": "import logging\nimport os\nfrom datetime import datetime\n\ndef setup_logger():\n \"\"\"设置日志记录器\"\"\"\n # 创建logs目录\n os.makedirs('logs', exist_ok=True)\n \n # 创建日志记录器\n logger = logging.getLogger('HF-daily-paper')\n logger.setLevel(logging.INFO)\n \n # 创建文件处理器\n log_file = os.path.join('logs', f\"{datetime.now().strftime('%Y-%m-%d')}.log\")\n file_handler = logging.FileHandler(log_file, encoding='utf-8')\n file_handler.setLevel(logging.INFO)\n \n # 创建控制台处理器\n console_handler = logging.StreamHandler()\n console_handler.setLevel(logging.INFO)\n \n # 创建格式化器\n formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')\n file_handler.setFormatter(formatter)\n console_handler.setFormatter(formatter)\n \n # 添加处理器到日志记录器\n logger.addHandler(file_handler)\n logger.addHandler(console_handler)\n \n return logger\n\ndef get_logger():\n \"\"\"获取日志记录器\"\"\"\n return logging.getLogger('HF-daily-paper') "}, "e372bcfa85d41a2f23c50bf30a9f1f844cc4935b": {"t": 1785771960.8703394, "n": 966, "h": "5bdc5205f837cd8a", "c": "import logging\nimport os\nfrom datetime import datetime\n\ndef setup_logger():\n \"\"\"设置日志记录器\"\"\"\n # 创建logs目录\n os.makedirs('logs', exist_ok=True)\n \n # 配置日志记录器\n logger = logging.getLogger('hf_daily_paper')\n logger.setLevel(logging.INFO)\n \n # 创建文件处理器，按日期生成日志文件\n log_file = os.path.join('logs', f\"{datetime.now().strftime('%Y-%m-%d')}.log\")\n file_handler = logging.FileHandler(log_file, encoding='utf-8')\n file_handler.setLevel(logging.INFO)\n \n # 创建控制台处理器\n console_handler = logging.StreamHandler()\n console_handler.setLevel(logging.INFO)\n \n # 设置日志格式\n formatter = logging.Formatter('%(asctime)s - %(levelname)s - %(message)s')\n file_handler.setFormatter(formatter)\n console_handler.setFormatter(formatter)\n \n # 添加处理器到日志记录器\n logger.addHandler(file_handler)\n logger.addHandler(console_handler)\n \n return logger\n\ndef get_logger():\n \"\"\"获取日志记录器实例\"\"\"\n return logging.getLogger('hf_daily_paper') "}, "b3756802c32914525d9eaf159f95b8043fe3e47b": {"t": 1785846821.5519376, "n": 2064, "h": "40ffae19cc8396a4", "c": "import logging\nimport os\nfrom datetime import datetime\nimport hashlib\nimport hmac\nimport time\nimport base64\nfrom functools import wraps\n\n# 默认配置\nDEFAULT_MODEL = \"deepseek-chat\"\nSUPPORTED_MODELS = {\n \"deepseek-chat\": \"DeepSeek Chat\",\n}\n\ndef setup_logger():\n \"\"\"设置日志记录器\"\"\"\n # 创建logs目录\n os.makedirs('logs', exist_ok=True)\n \n # 获取当前日期作为日志文件名\n log_file = os.path.join('logs', f\"{time.strftime('%Y-%m-%d')}.log\")\n \n # 配置日志记录器\n logging.basicConfig(\n level=logging.INFO,\n format='%(asctime)s - %(levelname)s - %(message)s',\n handlers=[\n logging.FileHandler(log_file, encoding='utf-8'),\n logging.StreamHandler()\n ]\n )\n \n return logging.getLogger(__name__)\n\ndef is_original_repo():\n \"\"\"检查是否为原始仓库\"\"\"\n try:\n repo = os.getenv('GITHUB_REPOSITORY', '')\n return repo == '2404589803/hf-daily-paper-newsletter-chinese'\n except:\n return False\n\ndef validate_api_key(api_key):\n \"\"\"验证API Key是否有效\"\"\"\n if not api_key or len(api_key) < 32: # 简单的长度检查\n return False\n return True\n\ndef get_model_name():\n \"\"\"获取要使用的模型名称\"\"\"\n return DEFAULT_MODEL # 直接返回默认模型\n\ndef require_auth(func):\n \"\"\"验证装饰器\"\"\"\n @wraps(func)\n def wrapper(*args, **kwargs):\n api_key = os.getenv('DEEPSEEK_API_KEY')\n if not api_key:\n raise ValueError(\"未设置 DEEPSEEK_API_KEY 环境变量。如果这是一个fork的仓库，请在仓库的Settings->Secrets->Actions中设置您自己的DEEPSEEK_API_KEY。\")\n \n # 验证API Key\n if not validate_api_key(api_key):\n raise ValueError(\"无效的 API Key 格式\")\n \n # 如果是原始仓库，直接允许访问\n if is_original_repo():\n return func(*args, **kwargs)\n \n # 如果是fork的仓库，确保使用的是自己的API Key\n if api_key.startswith('sk-'): # 假设这是一个新的API Key\n return func(*args, **kwargs)\n else:\n raise ValueError(\"Fork仓库必须使用自己的API Key。请在仓库的Settings->Secrets->Actions中设置您自己的DEEPSEEK_API_KEY。\")\n \n return wrapper\n\ndef get_logger():\n \"\"\"获取日志记录器\"\"\"\n return logging.getLogger('HF-daily-paper') "}}, "README.md": {"da00d1f256f56ff4c61d51d97375ea89d8cf7c8e": {"t": 1785747260.7859523, "n": 3078, "h": "ec2167b27699e6a7", "c": "# HF🤗 Daily Paper Newsletter Bot\n> [中文文档](README_CN.md)\n\nThis bot automatically collects paper information from [🤗 Daily Papers](https://huggingface.co/papers) and uses DeepSeek for interpretation.\n\n## 🚀 Key Features\n\n- ✅ Automatic paper collection from [🤗 Daily Papers](https://huggingface.co/papers)\n- ✅ Intelligent paper interpretation using DeepSeek API\n- ✅ Chinese translation and analysis\n- ✅ Automatic daily paper poster generation\n- ✅ Keyword cloud and trend analysis\n- ✅ Text-to-speech support\n- ✅ Newsletter generation (Markdown & HTML)\n- ✅ Error notification and auto-retry mechanism\n\n## 🛠️ Setup\n\n1. Clone this repository\n\n2. Configure DeepSeek API Key:\n - Go to your GitHub repository\n - Click \"Settings\" > \"Security\" > \"Secrets and variables\" > \"Actions\"\n - Click \"New repository secret\"\n - Name: `DEEPSEEK_API_KEY`\n - Value: Your DeepSeek API Key\n - Click \"Add secret\"\n\n3. Enable GitHub Actions:\n - Go to the \"Actions\" tab\n - Click \"I understand my workflows, go ahead and enable them\"\n\n## 🔄 Running\n\n- **Automatic**: Runs daily at 9:00 and 9:30 Beijing Time\n- **Manual**: Select workflow in Actions tab and click \"Run workflow\"\n\n## 📁 Project Structure\n\n- `Paper_metadata_download.py`: Download paper metadata\n- `HF-day-paper-deepseek.py`: Main program for paper processing\n- `newsletter.py`: Newsletter generation\n- `stats.py`: Statistical analysis and visualization\n- `tts.py`: Text-to-speech synthesis\n- `utils.py`: Utility functions\n\n### 📂 Directory Structure\n\n- `HF-day-paper-deepseek/`: Processed paper data and daily summaries\n- `Paper_metadata_download/`: Downloaded paper metadata\n- `newsletters/`: Generated newsletter files (Markdown & HTML)\n- `images/`: Newsletter images (keyword clouds, trend graphs, etc.)\n- `audio/`: Audio broadcast files\n- `stats/`: Statistical analysis data (JSON format)\n\n## 📊 Data Analysis\n\n- **Keyword Cloud**: Visual representation of hot research topics\n- **Trend Analysis**: Daily paper count visualization\n- **Hot Topics**: Automatic identification of trending research areas\n- **Statistics Report**: Detailed statistical data generation\n\n## 📝 Newsletter Format\n\n- **Markdown Format**: Optimized for GitHub reading\n- **HTML Format**: Rich presentation support\n- **Contents Include**:\n - Daily paper statistics\n - Hot research areas\n - Detailed paper interpretations\n - Keyword cloud visualization\n - Trend analysis graph\n - Audio broadcast link\n\n## 🎯 Special Features\n\n- **Intelligent Translation**: Professional academic translation using DeepSeek API\n- **Auto-retry**: Automatic retry on errors for improved reliability\n- **Error Notification**: Automatic GitHub Issues creation for errors\n- **Multilingual Support**: Chinese and English documentation\n- **Data Visualization**: Automatic chart and statistics generation\n\n## ⭐ Star History\n\n[](https://star-history.com/#2404589803/hf-daily-paper-newsletter-chinese&Date)\n\n## 📄 License\n\nThis project is licensed under the MIT License"}, "5f400e554b80f83803578ac0b61877ee7632e3e5": {"t": 1785771956.9677746, "n": 3078, "h": "ec2167b27699e6a7", "c": "# HF🤗 Daily Paper Newsletter Bot\n> [中文文档](README_CN.md)\n\nThis bot automatically collects paper information from [🤗 Daily Papers](https://huggingface.co/papers) and uses DeepSeek for interpretation.\n\n## 🚀 Key Features\n\n- ✅ Automatic paper collection from [🤗 Daily Papers](https://huggingface.co/papers)\n- ✅ Intelligent paper interpretation using DeepSeek API\n- ✅ Chinese translation and analysis\n- ✅ Automatic daily paper poster generation\n- ✅ Keyword cloud and trend analysis\n- ✅ Text-to-speech support\n- ✅ Newsletter generation (Markdown & HTML)\n- ✅ Error notification and auto-retry mechanism\n\n## 🛠️ Setup\n\n1. Clone this repository\n\n2. Configure DeepSeek API Key:\n - Go to your GitHub repository\n - Click \"Settings\" > \"Security\" > \"Secrets and variables\" > \"Actions\"\n - Click \"New repository secret\"\n - Name: `DEEPSEEK_API_KEY`\n - Value: Your DeepSeek API Key\n - Click \"Add secret\"\n\n3. Enable GitHub Actions:\n - Go to the \"Actions\" tab\n - Click \"I understand my workflows, go ahead and enable them\"\n\n## 🔄 Running\n\n- **Automatic**: Runs daily at 9:00 and 9:30 Beijing Time\n- **Manual**: Select workflow in Actions tab and click \"Run workflow\"\n\n## 📁 Project Structure\n\n- `Paper_metadata_download.py`: Download paper metadata\n- `HF-day-paper-deepseek.py`: Main program for paper processing\n- `newsletter.py`: Newsletter generation\n- `stats.py`: Statistical analysis and visualization\n- `tts.py`: Text-to-speech synthesis\n- `utils.py`: Utility functions\n\n### 📂 Directory Structure\n\n- `HF-day-paper-deepseek/`: Processed paper data and daily summaries\n- `Paper_metadata_download/`: Downloaded paper metadata\n- `newsletters/`: Generated newsletter files (Markdown & HTML)\n- `images/`: Newsletter images (keyword clouds, trend graphs, etc.)\n- `audio/`: Audio broadcast files\n- `stats/`: Statistical analysis data (JSON format)\n\n## 📊 Data Analysis\n\n- **Keyword Cloud**: Visual representation of hot research topics\n- **Trend Analysis**: Daily paper count visualization\n- **Hot Topics**: Automatic identification of trending research areas\n- **Statistics Report**: Detailed statistical data generation\n\n## 📝 Newsletter Format\n\n- **Markdown Format**: Optimized for GitHub reading\n- **HTML Format**: Rich presentation support\n- **Contents Include**:\n - Daily paper statistics\n - Hot research areas\n - Detailed paper interpretations\n - Keyword cloud visualization\n - Trend analysis graph\n - Audio broadcast link\n\n## 🎯 Special Features\n\n- **Intelligent Translation**: Professional academic translation using DeepSeek API\n- **Auto-retry**: Automatic retry on errors for improved reliability\n- **Error Notification**: Automatic GitHub Issues creation for errors\n- **Multilingual Support**: Chinese and English documentation\n- **Data Visualization**: Automatic chart and statistics generation\n\n## ⭐ Star History\n\n[](https://star-history.com/#2404589803/hf-daily-paper-newsletter-chinese&Date)\n\n## 📄 License\n\nThis project is licensed under the MIT License"}, "337245999883a49b4b47ed423975625892efa4d1": {"t": 1785771958.3084874, "n": 2708, "h": "6656d94369252e9e", "c": "# HF🤗 Daily Paper Newsletter Bot\n> [中文文档](README_CN.md)\n\nThis bot automatically collects paper information from [🤗 Daily Papers](https://huggingface.co/papers) and uses DeepSeek for interpretation.\n\n## 🚀 Key Features\n\n- ✅ Automatic paper collection from [🤗 Daily Papers](https://huggingface.co/papers)\n- ✅ Intelligent paper interpretation using DeepSeek API\n- ✅ Chinese translation and analysis\n- ✅ Automatic daily paper poster generation\n- ✅ Keyword cloud and trend analysis\n- ✅ Text-to-speech support\n- ✅ Newsletter generation (Markdown & HTML)\n- ✅ Error notification and auto-retry mechanism\n\n## 🛠️ Setup\n\n1. Clone this repository\n\n2. Configure DeepSeek API Key:\n - Go to your GitHub repository\n - Click \"Settings\" > \"Security\" > \"Secrets and variables\" > \"Actions\"\n - Click \"New repository secret\"\n - Name: `DEEPSEEK_API_KEY`\n - Value: Your DeepSeek API Key\n - Click \"Add secret\"\n\n3. Enable GitHub Actions:\n - Go to the \"Actions\" tab\n - Click \"I understand my workflows, go ahead and enable them\"\n\n## 🔄 Running\n\n- **Automatic**: Runs daily at 9:00 and 9:30 Beijing Time\n- **Manual**: Select workflow in Actions tab and click \"Run workflow\"\n\n## 📁 Project Structure\n\n- `Paper_metadata_download.py`: Download paper metadata\n- `HF-day-paper-deepseek.py`: Main program for paper processing\n- `newsletter.py`: Newsletter generation\n- `stats.py`: Statistical analysis and visualization\n- `tts.py`: Text-to-speech synthesis\n- `utils.py`: Utility functions\n\n## 📊 Data Analysis\n\n- **Keyword Cloud**: Visual representation of hot research topics\n- **Trend Analysis**: Daily paper count visualization\n- **Hot Topics**: Automatic identification of trending research areas\n- **Statistics Report**: Detailed statistical data generation\n\n## 📝 Newsletter Format\n\n- **Markdown Format**: Optimized for GitHub reading\n- **HTML Format**: Rich presentation support\n- **Contents Include**:\n - Daily paper statistics\n - Hot research areas\n - Detailed paper interpretations\n - Keyword cloud visualization\n - Trend analysis graph\n - Audio broadcast link\n\n## 🎯 Special Features\n\n- **Intelligent Translation**: Professional academic translation using DeepSeek API\n- **Auto-retry**: Automatic retry on errors for improved reliability\n- **Error Notification**: Automatic GitHub Issues creation for errors\n- **Multilingual Support**: Chinese and English documentation\n- **Data Visualization**: Automatic chart and statistics generation\n\n## ⭐ Star History\n\n[](https://star-history.com/#2404589803/hf-daily-paper-newsletter-chinese&Date)\n\n## 📄 License\n\nThis project is licensed under the MIT License"}, "8012cde93c48b8057e3f5197e56a9aa4fbe0c53c": {"t": 1785771959.8686297, "n": 1544, "h": "5689ea93a930f97a", "c": "# HF Daily Papers Newsletter Bot 🤗\n> [中文文档](README_CN.md)\n\nAn automated bot that collects and analyzes papers from [🤗 Daily Papers](https://huggingface.co/papers) using AI agents.\n\n## 🚀 Features\n\n- ✅ Automatic paper collection from [🤗 Daily Papers](https://huggingface.co/papers)\n- ✅ AI-powered paper analysis using DeepSeek API\n- ✅ Chinese translation and interpretation of paper content\n- ✅ Automated JSON file storage for analysis results\n\n## 🛠️ Setup\n\n1. Clone this repository\n\n2. Configure DeepSeek API Key:\n - Go to your GitHub repository\n - Navigate to \"Settings\" > \"Security\" > \"Secrets and variables\" > \"Actions\"\n - Click \"New repository secret\"\n - Name: `DEEPSEEK_API_KEY`\n - Value: Your DeepSeek API Key\n - Click \"Add secret\" to save\n\n3. Enable GitHub Actions:\n - Visit the \"Actions\" tab in your repository\n - Click \"I understand my workflows, go ahead and enable them\"\n\n## 🔄 Running the Bot\n\n- **Automated Running**: Runs daily at 9:00 and 9:30 (Beijing Time)\n- **Manual Running**: Go to Actions page, select workflow, and click \"Run workflow\"\n\n## 📁 Project Structure\n\n- `Paper_metadata_download.py`: Downloads paper metadata\n- `HF-day-paper-deepseek.py`: Main program\n- `HF-day-paper-deepseek-clean.py`: Cleaned version of the main program\n\n## 🔜 Upcoming Features\n\n- Voice broadcasting functionality\n\n## ⭐ Star History\n\n[](https://star-history.com/#2404589803/hf-daily-paper-newsletter-chinese&Date)"}, "1a1929dc3f641c824064d51d8d1f9d6c92ecc238": {"t": 1785771961.2687075, "n": 1177, "h": "981f894385c00d15", "c": "# HF🤗每日简报机器人\n\n该机器人能自动从 [🤗 Daily Papers](https://huggingface.co/papers) 收集paper信息，然后结合智能体进行解读。\n\n# 🤗每日简报机器人如何工作？\n\n1、获取 [🤗 Daily Papers](https://huggingface.co/papers) 中的所有paper信息\n\n2、将收集到的paper信息使用 DeepSeek 模型进行解读，生成paper的中文解读信息\n\n# 已自动化完成的功能\n\n- [X] 自动从 [🤗 Daily Papers](https://huggingface.co/papers) 获取paper信息\n- [X] 自动使用 DeepSeek API 进行论文解读，生成中文解读信息\n- [X] 自动保存解读结果到JSON文件\n\n# 使用方法\n\n1. 克隆本仓库\n2. 配置 DeepSeek API Key：\n - 访问您的 GitHub 仓库\n - 点击 \"Settings\" > \"Security\" > \"Secrets and variables\" > \"Actions\"\n - 点击 \"New repository secret\"\n - Name: `DEEPSEEK_API_KEY`\n - Value: 您的 DeepSeek API Key\n - 点击 \"Add secret\" 保存\n3. 启用 GitHub Actions：\n - 访问仓库的 \"Actions\" 选项卡\n - 点击 \"I understand my workflows, go ahead and enable them\"\n4. 运行方式：\n - 自动运行：每天北京时间 9:00 和 9:30 自动运行\n - 手动运行：在 Actions 页面选择工作流，点击 \"Run workflow\"\n\n# 文件说明\n\n- `Paper_metadata_download.py`: 下载论文元数据\n- `HF-day-paper-deepseek.py`: 主程序\n- `HF-day-paper-deepseek-clean.py`: 清理版本\n\n# 未来预加入的功能\n\n- 语音播报功能\n\n## Star History\n\n[](https://star-history.com/#2404589803/hf-daily-paper-newsletter-chinese&Date)"}, "5e3934c860735207088716715c108399e8037f2f": {"t": 1785771962.6769347, "n": 895, "h": "be8cb0fe1ff45823", "c": "# HF🤗每日简报机器人\n\n该机器人能自动从 [🤗 Daily Papers](https://huggingface.co/papers) 收集paper信息，然后结合智能体进行解读。\n\n# 🤗每日简报机器人如何工作？\n\n1、获取 [🤗 Daily Papers](https://huggingface.co/papers) 中的所有paper信息\n\n2、将收集到的paper信息使用使用智谱AI模型进行元数据的结构化（先将标题翻译成中文，然后保留ID，最后输出）\n\n3、结合智谱清言智能体API进行解读，生成paper的解读信息。\n\n# 已自动化完成的功能\n\n- [X] 自动从 [🤗 Daily Papers](https://huggingface.co/papers) 获取paper信息\n- [X] 自动使用智谱AI模型API进行元数据的结构化\n- [X] 自动结合智谱清言智能体API进行解读，生成paper的解读信息\n- [X] 解读信息自动推送\n\n# 配套项目\n\n[🐍cow二开版](https://github.com/chatgpt-on-wechat-change/chatgpt-on-wechat-two)\n\n[🤖zhipuai-agent-to-openai](https://github.com/LLM-Red-Team/zhipuai-agent-to-openai)\n\n# 未来预加入的功能\n\n- 语音播报功能\n\n# 大佬贡献\n\n感谢 [**V佬**](https://github.com/Vinlic) 的大力帮助\n\n\n## Star History\n\n[](https://star-history.com/#2404589803/hf-daily-paper-newsletter-chinese&Date)"}, "ca1b5088d52b51a618f811c3d9151f26de5d1117": {"t": 1785771964.0429199, "n": 897, "h": "9dfd2f0353345e7d", "c": "# HF🤗每日简报机器人\n\n该机器人能自动从 [🤗 Daily Papers](https://huggingface.co/papers) 收集paper信息，然后结合智能体进行解读。\n\n# 🤗每日简报机器人如何工作？\n\n1、获取 [🤗 Daily Papers](https://huggingface.co/papers) 中的所有paper信息\n\n2、将收集到的paper信息使用智谱清言智能体API进行元数据的结构化（先将标题翻译成中文，然后保留ID，最后输出）\n\n3、结合智谱清言智能体API进行解读，生成paper的解读信息。\n\n# 已自动化完成的功能\n\n- [X] 自动从 [🤗 Daily Papers](https://huggingface.co/papers) 获取paper信息\n- [X] 自动使用智谱AI模型API进行元数据的结构化\n- [X] 自动结合智谱清言智能体API进行解读，生成paper的解读信息\n- [X] 解读信息自动推送\n\n# 配套项目\n\n[🐍cow二开版](https://github.com/chatgpt-on-wechat-change/chatgpt-on-wechat-two)\n\n[🤖zhipuai-agent-to-openai](https://github.com/LLM-Red-Team/zhipuai-agent-to-openai)\n\n# 未来预加入的功能\n\n- 语音播报功能\n\n# 大佬贡献\n\n感谢 [**V佬**](https://github.com/Vinlic) 的大力帮助\n\n\n## Star History\n\n[](https://star-history.com/#2404589803/hf-daily-paper-newsletter-chinese&Date)"}, "f983936c36755c4f7e50295a6b0d17eedb5e3712": {"t": 1785771965.341724, "n": 898, "h": "c6862fcb3e5127ef", "c": "# HF🤗每日简报机器人\n\n该机器人能自动从 [🤗 Daily Papers](https://huggingface.co/papers) 收集paper信息，然后结合智能体进行解读。\n\n# 🤗每日简报机器人如何工作？\n\n1、获取 [🤗 Daily Papers](https://huggingface.co/papers) 中的所有paper信息\n\n2、将收集到的paper信息使用智谱清言智能体API进行元数据的结构化（先将标题翻译成中文，然后保留ID，最后输出）\n\n3、结合智谱清言智能体API进行解读，生成paper的解读信息。\n\n# 已自动化完成的功能\n\n- [X] 自动从 [🤗 Daily Papers](https://huggingface.co/papers) 获取paper信息\n- [X] 自动使用智谱清言智能体API进行元数据的结构化\n- [X] 自动结合智谱清言智能体API进行解读，生成paper的解读信息\n- [X] 解读信息自动推送\n\n# 配套项目\n\n[🐍cow二开版](https://github.com/chatgpt-on-wechat-change/chatgpt-on-wechat-two)\n\n[🤖zhipuai-agent-to-openai](https://github.com/LLM-Red-Team/zhipuai-agent-to-openai)\n\n# 未来预加入的功能\n\n- 语音播报功能\n\n# 大佬贡献\n\n感谢 [**V佬**](https://github.com/Vinlic) 的大力帮助\n\n\n## Star History\n\n[](https://star-history.com/#2404589803/hf-daily-paper-newsletter-chinese&Date)"}, "95d10ab3d722e685c4dc45e73b32fd5c5cc53a05": {"t": 1785771966.7058654, "n": 684, "h": "fbcd3891b618933b", "c": "# HF🤗每日简报机器人\n\n该机器人能自动从 [🤗 Daily Papers](https://huggingface.co/papers) 收集paper信息，然后结合智能体进行解读。\n\n# 🤗每日简报机器人如何工作？\n\n1、获取 [🤗 Daily Papers](https://huggingface.co/papers) 中的所有paper信息\n\n2、将收集到的paper信息使用智谱清言智能体API进行元数据的结构化（先将标题翻译成中文，然后保留ID，最后输出）\n\n3、结合智谱清言智能体API进行解读，生成paper的解读信息。\n\n# 已自动化完成的功能\n\n- [X] 自动从 [🤗 Daily Papers](https://huggingface.co/papers) 获取paper信息\n- [X] 自动使用智谱清言智能体API进行元数据的结构化\n- [X] 自动结合智谱清言智能体API进行解读，生成paper的解读信息\n- [X] 解读信息自动推送\n\n# 配套项目\n\n[🐍cow二开版](https://github.com/chatgpt-on-wechat-change/chatgpt-on-wechat-two)\n\n[🤖zhipuai-agent-to-openai](https://github.com/LLM-Red-Team/zhipuai-agent-to-openai)\n\n# 未来预加入的功能\n\n- 语音播报功能\n\n# 大佬贡献\n\n感谢 [**V佬**](https://github.com/Vinlic) 的大力帮助\n"}, "465e157ed0ff8ac5da36f55821c3ebe7c8e8a469": {"t": 1785771968.1865387, "n": 683, "h": "623b3620123e1ff3", "c": "# HF🤗每日简报机器人\n\n该机器人能自动从 [🤗 Daily Papers](https://huggingface.co/papers) 收集paper信息，然后结合智能体进行解读。\n\n# 🤗每日简报机器人如何工作？\n\n1、获取 [🤗 Daily Papers](https://huggingface.co/papers) 中的所有paper信息\n\n2、将收集到的paper信息使用智谱清言智能体API进行元数据的结构化（先将标题翻译成中文，然后保留ID，最后输出）\n\n3、结合智谱清言智能体API进行解读，生成paper的解读信息。\n\n# 已自动化完成的功能\n\n- [X] 自动从 [🤗 Daily Papers](https://huggingface.co/papers) 获取paper信息\n- [X] 自动使用智谱清言智能体API进行元数据的结构化\n- [X] 自动结合智谱清言智能体API进行解读，生成paper的解读信息\n- [X] 解读信息自动推送\n\n# 配套项目\n\n[🐍cow二开版](https://github.com/chatgpt-on-wechat-change/chatgpt-on-wechat-two)\n\n[zhipuai-agent-to-openai](https://github.com/LLM-Red-Team/zhipuai-agent-to-openai)\n\n# 未来预加入的功能\n\n- 语音播报功能\n\n# 大佬贡献\n\n感谢 [**V佬**](https://github.com/Vinlic) 的大力帮助\n"}, "c699cd899bd5c844a17b7fc752d1205b14600fc3": {"t": 1785771969.4156165, "n": 682, "h": "70eeaba59ee2c381", "c": "# HF🤗每日简报机器人\n\n该机器人能自动从 [🤗 Daily Papers](https://huggingface.co/papers) 收集paper信息，然后结合智能体进行解读。\n\n# 🤗每日简报机器人如何工作？\n\n1、获取 [🤗 Daily Papers](https://huggingface.co/papers) 中的所有paper信息\n\n2、将收集到的paper信息使用智谱清言智能体API进行元数据的结构化（先将标题翻译成中文，然后保留ID，最后输出）\n\n3、结合智谱清言智能体API进行解读，生成paper的解读信息。\n\n# 已自动化完成的功能\n\n- [X] 自动从 [🤗 Daily Papers](https://huggingface.co/papers) 获取paper信息\n- [X] 自动使用智谱清言智能体API进行元数据的结构化\n- [X] 自动结合智谱清言智能体API进行解读，生成paper的解读信息\n- [X] 解读信息自动推送\n\n# 配套项目\n\n[🐍cow二开版](https://github.com/chatgpt-on-wechat-change/chatgpt-on-wechat-two)\n[zhipuai-agent-to-openai](https://github.com/LLM-Red-Team/zhipuai-agent-to-openai)\n\n# 未来预加入的功能\n\n- 语音播报功能\n\n# 大佬贡献\n\n感谢 [**V佬**](https://github.com/Vinlic) 的大力帮助\n"}, "57dd2d4be133855231b9dc4efbe1c0d628299063": {"t": 1785771970.7446952, "n": 436, "h": "25d9951e2ea0d10e", "c": "# HF🤗每日简报机器人\n\n该机器人能自动从 [🤗 Daily Papers](https://huggingface.co/papers) 收集paper信息，然后结合智能体进行解读。\n\n# 🤗每日简报机器人如何工作？\n\n1、获取 [🤗 Daily Papers](https://huggingface.co/papers) 中的所有paper信息\n\n2、将收集到的paper信息使用智谱清言智能体API进行元数据的结构化（先将标题翻译成中文，然后保留ID，最后输出）\n\n3、结合智谱清言智能体API进行解读，生成paper的解读信息。\n\n# 已自动化完成的功能\n\n- [X] 自动从 [🤗 Daily Papers](https://huggingface.co/papers) 获取paper信息\n- [X] 自动使用智谱清言智能体API进行元数据的结构化\n- [X] 自动结合智谱清言智能体API进行解读，生成paper的解读信息\n- [ ] 解读信息自动推送\n"}, "21e8a19706ffea962ed100fb222681590c409b7a": {"t": 1785771972.5580454, "n": 434, "h": "d4e1b8bf8d60f6ef", "c": "# HF🤗每日简报机器人\n\n该机器人能自动从 [🤗 Daily Papers](https://huggingface.co/papers) 收集paper信息，然后结合智能体进行解读。\n\n# 🤗每日简报机器人如何工作？\n\n1、获取 [🤗 Daily Papers](https://huggingface.co/papers) 中的所有paper信息\n\n2、将收集到的paper信息使用GLM-4 API进行元数据的结构化（先将标题翻译成中文，然后保留ID，最后输出）\n\n3、结合智谱清言智能体API进行解读，生成paper的解读信息。\n\n# 已自动化完成的功能\n\n- [X] 自动从 [🤗 Daily Papers](https://huggingface.co/papers) 获取paper信息\n- [X] 自动使用GLM-4 API进行元数据的结构化\n- [X] 自动结合智谱清言智能体API进行解读，生成paper的解读信息\n- [ ] 解读信息自动推送\n"}, "7c3ba7cb2318ce4318e6cd9b69c779a84a3656fe": {"t": 1785771974.9477444, "n": 434, "h": "782486e0e8c105a5", "c": "# HF🤗每日简报机器人\n\n该机器人能自动从 [🤗 Daily Papers](https://huggingface.co/papers) 收集paper信息，然后结合智能体进行解读。\n\n# 🤗每日简报机器人如何工作？\n\n1、获取 [🤗 Daily Papers](https://huggingface.co/papers) 中的所有paper信息\n\n2、将收集到的paper信息使用GLM-4 API进行元数据的结构化（先将标题翻译成中文，然后保留ID，最后输出）\n\n3、结合智谱清言智能体API进行解读，生成paper的解读信息。\n\n# 已自动化完成的功能\n\n- [X] 自动从 [🤗 Daily Papers](https://huggingface.co/papers) 获取paper信息\n- [X] 自动使用GLM-4 API进行元数据的结构化\n- [ ] 自动结合智谱清言智能体API进行解读，生成paper的解读信息\n- [ ] 解读信息自动推送\n"}, "1fc96ea9a2c9756cdb02b2934f0e50f4b8e6dc40": {"t": 1785771976.8517735, "n": 460, "h": "bf5a25adc28396da", "c": "# HF🤗每日简报机器人\n\n该机器人能自动从 [🤗 Daily Papers](https://huggingface.co/papers) 收集paper信息，然后结合智能体进行解读。\n\n# 🤗每日简报机器人如何工作？\n\n1、获取 [🤗 Daily Papers](https://huggingface.co/papers) 中的所有paper信息\n\n 包括：\n\n ①、论文标题\n\n ②、arxiv ID\n\n ③、论文摘要\n\n2、将收集到的paper信息使用GLM-4 API进行元数据的结构化\n\n3、结合智谱清言智能体API进行解读，生成paper的解读信息。\n\n# 已自动化完成的功能\n\n- [X] 自动从 [🤗 Daily Papers](https://huggingface.co/papers) 获取paper信息\n- [X] 自动使用GLM-4 API进行元数据的结构化\n- [ ] 自动结合智谱清言智能体API进行解读，生成paper的解读信息\n- [ ] 解读信息自动推送\n"}, "77b2ee59b1a754a05bab0c151bc5d07246688437": {"t": 1785771979.0833127, "n": 460, "h": "2fc725bfa2d58b6a", "c": "# HF🤗每日简报机器人\n\n该机器人能自动从 [🤗 Daily Papers](https://huggingface.co/papers) 收集paper信息，然后结合智能体进行解读。\n\n# 🤗每日简报机器人如何工作？\n\n1、获取 [🤗 Daily Papers](https://huggingface.co/papers) 中的所有paper信息\n\n 包括：\n\n ①、论文标题\n\n ②、arxiv ID\n\n ③、论文摘要\n\n2、将收集到的paper信息使用GLM-4 API进行元数据的结构化\n\n3、结合智谱清言智能体API进行解读，生成paper的解读信息。\n\n# 已自动化完成的功能\n\n- [X] 自动从 [🤗 Daily Papers](https://huggingface.co/papers) 获取paper信息\n- [X] 自动使用GLM-4 API进行元数据的结构化\n- [ ] 自动结合智谱清言智能体API进行解读，生成paper的解读信息\n- [ ] 自动解读信息推送\n"}, "9d3b3a1a7cb6243b7e298c64da0eecb6dd06453c": {"t": 1785771980.4065688, "n": 458, "h": "b1cac6fbfd6969d7", "c": "# HF🤗每日简报机器人\n\n该机器人能自动从 [🤗 Daily Papers](https://huggingface.co/papers) 收集paper信息，然后结合智能体进行解读。\n\n# 🤗每日简报机器人如何工作？\n\n1、获取 [🤗 Daily Papers](https://huggingface.co/papers) 中的所有paper信息\n\n 包括：\n\n ①、论文标题\n\n ②、arxiv ID\n\n ③、论文摘要\n\n2、将收集到的paper信息使用GLM-4 API进行元数据的结构化\n\n3、结合智谱清言智能体API进行解读，生成paper的解读信息。\n\n# 已自动化完成的功能\n\n- [X] 自动从 [🤗 Daily Papers](https://huggingface.co/papers) 获取paper信息\n- [X] 自动使用GLM-4 API进行元数据的结构化\n- [ ] 自动结合智谱清言智能体API进行解读，生成paper的解读信息\n- [ ] 解读信息推送\n"}, "04368bfcef51c47b6309e85604a9ca1d6e8b1db1": {"t": 1785771982.6507864, "n": 449, "h": "73dd1a69be4d104e", "c": "# HF🤗每日简报机器人\n\n该机器人能自动从 [🤗 Daily Papers](https://huggingface.co/papers) 收集paper信息，然后结合智能体进行解读。\n\n# 🤗每日简报机器人如何工作？\n\n1、获取 [🤗 Daily Papers](https://huggingface.co/papers) 中的所有paper信息\n\n 包括：\n\n ①、论文标题\n\n ②、arxiv ID\n\n ③、论文摘要\n\n2、将收集到的paper信息使用GLM-4 API进行元数据的结构化\n\n3、结合智谱清言智能体API进行解读，生成paper的解读信息。\n\n# 已自动化完成的功能\n\n- [x] 自动从 [🤗 Daily Papers](https://huggingface.co/papers) 获取paper信息\n\n- [x] 自动使用GLM-4 API进行元数据的结构化\n\n- [ ] 自动结合智谱清言智能体API进行解读，生成paper的解读信息\n\n\n"}, "a054c80a353826d1cd29ee29ce10cafdcfbd5a3b": {"t": 1785771983.941394, "n": 259, "h": "ec466007764c4061", "c": "# HF🤗每日简报机器人\n\n该机器人能自动从 [🤗 Daily Papers](https://huggingface.co/papers) 收集paper信息，然后结合智能体进行解读。\n\n# 🤗每日简报机器人如何工作？\n\n1、获取 [🤗 Daily Papers](https://huggingface.co/papers) 中的所有paper信息\n\n 包括：\n\n ①、论文标题\n\n ②、arxiv ID\n\n ③、论文摘要\n\n2、将收集到的paper信息结合智谱清言的智能体进行使用。\n\n\n"}, "eacfc21b0add0ad0ad52f45ffe2b050c14209c87": {"t": 1785771985.4578354, "n": 335, "h": "28b60f58954bcbce", "c": "# HF🤗每日简报机器人\n\n该机器人能自动从 [🤗 Daily Papers](https://huggingface.co/papers) 收集paper信息，然后翻译成已经设定的语言\n\n# 🤗每日简报机器人如何工作？\n\n1、获取 [🤗 Daily Papers](https://huggingface.co/papers) 中的所有paper信息\n\n 包括：\n\n ①、论文标题\n\n ②、arxiv ID\n\n ③、论文摘要\n\n2、将收集到的paper信息翻译成已经设定的语言\n\n# 🤗每日简报机器人未来准备做？\n\n- [ ] 自动翻译成更多的语言 (第一目标 -> 简体中文)\n- [ ] 自动翻译成更多的语言 (第二目标 -> 繁體中文)\n"}, "7fa6cc01de49ddfffce135b051dd5e3b559f9e82": {"t": 1785771987.8020382, "n": 339, "h": "ae4cf61ae1410429", "c": "# HF🤗每日简报机器人\n\n该机器人能自动从 [🤗 Daily Papers](https://huggingface.co/papers) 收集paper信息，然后翻译成已经设定的语言\n\n# 🤗每日简报机器人如何工作？\n\n1、获取 [🤗 Daily Papers](https://huggingface.co/papers) 中的所有paper信息\n\n **包括**：\n\n ①、论文标题\n\n ②、arxiv ID\n\n ③、论文摘要\n\n2、将收集到的paper信息翻译成已经设定的语言\n\n# 🤗每日简报机器人未来准备做？\n\n- [ ] 自动翻译成更多的语言 (第一目标 -> 简体中文)\n- [ ] 自动翻译成更多的语言 (第二目标 -> 繁體中文)\n"}, "9218f1a9f58a7b9d81bfcfb5918cf02befe12908": {"t": 1785771988.9937456, "n": 360, "h": "b5c736f9bab208a2", "c": "# HF🤗每日简报机器人\n\n该机器人能自动从 [🤗 Daily Papers](https://huggingface.co/papers) 收集paper信息，然后翻译成已经设定的语言\n\n# 🤗每日简报机器人如何工作？\n\n1、获取 [🤗 Daily Papers](https://huggingface.co/papers) 中的所有paper信息\n\n **包括**：\n\n ①、论文标题\n\n ②、arxiv ID\n\n ③、论文摘要\n\n\n \n\n2、将收集到的paper信息翻译成已经设定的语言\n\n# 🤗每日简报机器人未来准备做？\n\n- [ ] 自动翻译成更多的语言 (第一目标 -> 简体中文)\n- [ ] 自动翻译成更多的语言 (第二目标 -> 繁體中文)\n"}, "95fa30a4e08589b8efb99f03ac4796463f1303a6": {"t": 1785771992.3532078, "n": 372, "h": "f52912ba6ec75f08", "c": "# HF🤗每日简报机器人\n\n该机器人能自动从 [🤗 Daily Papers](https://huggingface.co/papers) 收集paper信息，然后翻译成已经设定的语言\n\n# 🤗每日简报机器人如何工作？\n\n1、获取 [🤗 Daily Papers](https://huggingface.co/papers) 中的所有paper信息\n\n **包括**：\n\n **①**、论文标题\n\n **②**、arxiv ID\n\n **③**、论文摘要\n\n\n \n\n2、将收集到的paper信息翻译成已经设定的语言\n\n# 🤗每日简报机器人未来准备做？\n\n- [ ] 自动翻译成更多的语言 (第一目标 -> 简体中文)\n- [ ] 自动翻译成更多的语言 (第二目标 -> 繁體中文)\n"}, "c67aa8bc0bb496ab074d6a07cfb0c0e4a1c5c730": {"t": 1785771994.1700408, "n": 264, "h": "2e5b159a0dfaea1b", "c": "# HF🤗每日简报机器人\n\n该机器人能自动从 [🤗 Daily Papers](https://huggingface.co/papers) 收集paper信息\n\n# 🤗每日简报机器人如何工作？\n\n1、获取 [🤗 Daily Papers](https://huggingface.co/papers) 中的所有paper信息\n\n2、将paper信息翻译成中文\n\n# 🤗每日简报机器人未来准备做？\n\n- [ ] 自动翻译成更多的语言 (第一目标 -> 简体中文)\n- [ ] 自动翻译成更多的语言 (第二目标 -> 繁體中文)\n"}, "d18e1c9485c49cf5221aa365050c034caff7585f": {"t": 1785771995.501841, "n": 303, "h": "8b389e1b37ec8868", "c": "# HF🤗每日简报机器人\n\n该机器人向订阅者发送从 [🤗 Daily Papers](https://huggingface.co/papers) 收集的paper信息\n\n# 🤗每日简报机器人如何工作？\n\n1、获取 [🤗 Daily Papers](https://huggingface.co/papers) 中的所有paper信息\n\n2、将paper信息翻译成中文\n\n3、将paper信息发送到订阅者的邮箱\n\n# 🤗每日简报机器人界面\n\n# 🤗每日简报机器人未来准备做？\n\n- [ ] 自动翻译成更多的语言 (第一目标 -> 简体中文)\n- [ ] 自动翻译成更多的语言 (第二目标 -> 繁體中文)\n"}}}} |