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{"repo": "chan-developer/cinema-violation-detection", "files": {".env": {"0b2ca68a42a7ce67ac424c436ea5ff7ddbf1bd30": {"t": 1785674149.2216551, "n": 1019, "h": "f602b1b7b63ff2a6", "c": "# Flask配置\nFLASK_ENV=development\nSECRET_KEY=your_secret_key_here\nJWT_SECRET_KEY=your_jwt_secret_key_here\n\n# MySQL 数据库配置\nDB_HOST=localhost\nDB_PORT=3306\nDB_USER=root\nDB_PASSWORD=root123\nDB_NAME=cinema_detection\n\n# 如果使用Docker运行MySQL,则设置为:\n# DB_HOST=mysql\n# DB_PORT=3306\n# DB_USER=cinema_user\n# DB_PASSWORD=cinema_pass123\n# DB_NAME=cinema_detection\n\n# LLM 配置 (选择一个提供商)\n# 可选值: openai, zhipu, qwen, modelscope\nLLM_PROVIDER=modelscope\n\n# ModelScope API Key (推荐使用)\n# ModelScope: https://modelscope.cn/my/myaccount/tokens\nMODELSCOPE_API_KEY=ms-36983e4e-9356-400b-a0b0-2f080cec7fa6\n\n# OpenAI API Key (可选)\nOPENAI_API_KEY=your_openai_api_key\n\n# 智谱AI API Key (可选)\nZHIPU_API_KEY=your_zhipu_api_key\n\n# DashScope (通义千问) API Key (可选)\nDASHSCOPE_API_KEY=your_dashscope_api_key\n\n# YOLO 配置\n# YOLO 模型路径 (支持: yolov8n, yolov8s, yolov8m, yolov8l, yolov8x)\nYOLO_MODEL_PATH=yolov8x.pt\n\n# YOLO 使用设备 (cpu 或 cuda,如果有 GPU)\nYOLO_DEVICE=cpu\n# YOLO_DEVICE=cuda # 取消注释以使用 GPU\n\n# 启用 YOLO 检测\nENABLE_YOLO=true\n\n# YOLO 置信度阈值 (0-1, 越高越严格)\nYOLO_CONFIDENCE=0.5\n"}}}}