android-mcp

""" Constants Configuration Module Centralizes application constants, default values, and static configurations. """ from typing import Set, Dict, List # Application Information APP_NAME = "Audio Transcription Tool" APP_VERSION = "1.0.0" APP_AUTHOR = "Audio Transcription Team" APP_DESCRIPTION = "AI-powered audio transcription with meeting analysis" # Supported Audio Formats SUPPORTED_AUDIO_EXTENSIONS: Set[str] = { '.mp3', '.wav', '.m4a', '.flac', '.aac', '.ogg', '.wma', '.mp4', '.mov', '.avi' } SUPPORTED_AUDIO_FORMATS: List[str] = [ "MP3", "WAV", "M4A", "FLAC", "AAC", "OGG", "WMA", "MP4", "MOV", "AVI" ] # File Size Limits DEFAULT_MAX_FILE_SIZE_MB = 500 DEFAULT_MAX_FILE_SIZE_BYTES = DEFAULT_MAX_FILE_SIZE_MB * 1024 * 1024 MIN_FILE_SIZE_BYTES = 1024 # 1KB minimum # Whisper Model Configuration WHISPER_MODELS: Dict[str, Dict[str, str]] = { "tiny": { "name": "tiny", "description": "Fastest, least accurate (~39 MB)", "languages": "English-only", "speed": "Very Fast" }, "base": { "name": "base", "description": "Good balance of speed and accuracy (~74 MB)", "languages": "Multilingual", "speed": "Fast" }, "small": { "name": "small", "description": "Better accuracy, slower (~244 MB)", "languages": "Multilingual", "speed": "Medium" }, "medium": { "name": "medium", "description": "High accuracy (~769 MB)", "languages": "Multilingual", "speed": "Slow" }, "large": { "name": "large", "description": "Highest accuracy (~1550 MB)", "languages": "Multilingual", "speed": "Very Slow" }, "large-v2": { "name": "large-v2", "description": "Latest large model with improvements (~1550 MB)", "languages": "Multilingual", "speed": "Very Slow" }, "large-v3": { "name": "large-v3", "description": "Most recent large model (~1550 MB)", "languages": "Multilingual", "speed": "Very Slow" } } DEFAULT_WHISPER_MODEL = "base" WHISPER_MODEL_NAMES = list(WHISPER_MODELS.keys()) # OpenAI Configuration OPENAI_MODELS: Dict[str, Dict[str, str]] = { "gpt-3.5-turbo": { "name": "gpt-3.5-turbo", "description": "Fast and cost-effective", "max_tokens": 4096, "cost": "Low" }, "gpt-4": { "name": "gpt-4", "description": "More capable, higher quality", "max_tokens": 8192, "cost": "High" }, "gpt-4-turbo": { "name": "gpt-4-turbo", "description": "Latest GPT-4 with improved performance", "max_tokens": 128000, "cost": "Medium" } } DEFAULT_OPENAI_MODEL = "gpt-3.5-turbo" DEFAULT_OPENAI_MAX_TOKENS = 1000 DEFAULT_OPENAI_TEMPERATURE = 0.3 # Gradio UI Configuration GRADIO_THEMES = ["default", "soft", "monochrome", "glass", "base"] DEFAULT_GRADIO_THEME = "soft" DEFAULT_GRADIO_PORT = 7860 DEFAULT_GRADIO_SERVER_NAME = "0.0.0.0" # UI Text and Labels UI_LABELS = { "app_title": "🎵 Audio Transcription Tool", "upload_label": "Upload Audio File", "transcribe_button": "🎯 Transcribe Audio", "key_points_button": "🔑 Generate Key Meeting Points", "prd_button": "📋 Generate PRD", "transcription_label": "Transcription Result", "key_points_label": "Key Meeting Points", "prd_label": "Product Requirements Document", "download_label": "Download Transcription", "download_prd_label": "Download PRD (.md)", "instructions_title": "📝 Instructions:", "status_processing": "Processing...", "status_complete": "✅ Complete", "status_error": "❌ Error", "prd_generating": "Generating PRD...", "prd_complete": "✅ PRD Generated" } UI_PLACEHOLDERS = { "transcription": "Transcription will appear here...", "key_points": "Key meeting points will appear here after generating...", "prd": "Generated PRD will appear here...", "upload_audio": "Click to upload an audio file" } UI_INSTRUCTIONS = """ 1. Click on the audio upload area above to select your audio file 2. Supported formats: MP3, WAV, M4A, FLAC, and more 3. Click 'Transcribe Audio' to start the process 4. The transcription will appear in the text area below 5. Click 'Generate Key Meeting Points' to get AI-powered meeting summary 6. You can copy both the transcription and key points, or download the transcription as a .txt file **Note:** To use the key meeting points feature, you need to add your OpenAI API key to the .env file. """ # PRD Configuration PRD_TEMPLATE_SECTIONS = [ "Executive Summary", "Problem Statement", "Goals & Objectives", "User Stories/Requirements", "Success Metrics", "Timeline/Milestones", "Technical Requirements", "Risk Assessment" ] DEFAULT_PRD_MAX_TOKENS = 2000 DEFAULT_PRD_TEMPERATURE = 0.3 DEFAULT_PRD_FILE_PREFIX = "PRD_" # TRD Configuration TRD_SECTIONS = [ "Architecture Overview", "UI/UX Specifications", "API Requirements", "Database Schema", "Security Requirements", "Performance Requirements", "Testing Strategy" ] DEFAULT_TRD_MAX_TOKENS = 3000 DEFAULT_TRD_TEMPERATURE = 0.2 DEFAULT_TRD_FILE_PREFIX = "TRD_Android_" # Error Messages ERROR_MESSAGES = { "no_file": "Please upload an audio file.", "invalid_format": "Unsupported audio format. Please use: {formats}", "file_too_large": "File too large. Maximum size: {max_size}MB", "file_not_found": "File not found: {file_path}", "transcription_failed": "Transcription failed: {error}", "openai_not_configured": "❌ OpenAI API key not configured. Please add your API key to the .env file.", "openai_not_available": "❌ OpenAI library not installed. Please install it with: pip install openai", "openai_request_failed": "❌ Error generating key meeting points: {error}", "no_transcription": "Please transcribe audio first before generating key meeting points.", "no_key_points": "Please generate key meeting points first before creating PRD.", "prd_generation_failed": "❌ Error generating PRD: {error}", "prd_feature_disabled": "❌ PRD generation feature is disabled.", "no_prd_content": "Please provide PRD content before generating TRD.", "trd_generation_failed": "❌ Error generating TRD: {error}", "trd_feature_disabled": "❌ TRD generation feature is disabled.", "model_load_failed": "Failed to load Whisper model: {error}", "file_creation_failed": "Failed to create temporary file: {error}" } # Success Messages SUCCESS_MESSAGES = { "transcription_complete": "✅ Transcription completed successfully!", "key_points_generated": "✅ Key points generated successfully!", "file_saved": "✅ File saved: {file_path}", "model_loaded": "✅ Model loaded successfully", "service_available": "✅ Service is available and configured" } # File Extensions and MIME Types AUDIO_MIME_TYPES = { '.mp3': 'audio/mpeg', '.wav': 'audio/wav', '.m4a': 'audio/mp4', '.flac': 'audio/flac', '.aac': 'audio/aac', '.ogg': 'audio/ogg', '.wma': 'audio/x-ms-wma' } # Temporary File Configuration TEMP_FILE_SETTINGS = { "prefix": "transcription_", "suffix": ".txt", "key_points_suffix": "_keypoints.txt", "encoding": "utf-8", "cleanup_on_exit": True } # Logging Configuration LOG_LEVELS = ["DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"] DEFAULT_LOG_LEVEL = "INFO" LOG_FORMAT = "%(asctime)s - %(name)s - %(levelname)s - %(message)s" LOG_DATE_FORMAT = "%Y-%m-%d %H:%M:%S" # API Rate Limits and Timeouts API_TIMEOUTS = { "openai_request": 60, # seconds "whisper_transcription": 300, # seconds "file_upload": 120 # seconds } # Environment Variables ENV_VARS = { "required": [ "OPENAI_API_KEY" # Only required if using key points or PRD features ], "optional": [ "WHISPER_MODEL", "OPENAI_MODEL", "MAX_FILE_SIZE_MB", "GRADIO_SERVER_PORT", "GRADIO_SHARE", "GRADIO_DEBUG", "LOG_LEVEL", "ENABLE_PRD_GENERATION", "PRD_OPENAI_MODEL", "PRD_MAX_TOKENS", "PRD_TEMPERATURE", "PRD_FILE_PREFIX", "ENABLE_TRD_GENERATION", "TRD_OPENAI_MODEL", "TRD_MAX_TOKENS", "TRD_TEMPERATURE", "TRD_FILE_PREFIX" ] } # Feature Flags FEATURES = { "key_points_generation": True, "prd_generation": True, "trd_generation": True, "custom_analysis": True, "file_validation": True, "model_caching": True, "temp_file_cleanup": True, "settings_validation": True } # Development and Testing DEV_SETTINGS = { "debug_mode": True, "verbose_logging": True, "mock_openai": False, "test_audio_file": "test_audio.mp3" } # Production Settings PROD_SETTINGS = { "debug_mode": False, "verbose_logging": False, "enable_analytics": True, "security_headers": True } # Version Information VERSION_INFO = { "major": 1, "minor": 0, "patch": 0, "pre_release": None, "build": None } def get_version_string() -> str: """Get formatted version string""" version = f"{VERSION_INFO['major']}.{VERSION_INFO['minor']}.{VERSION_INFO['patch']}" if VERSION_INFO['pre_release']: version += f"-{VERSION_INFO['pre_release']}" if VERSION_INFO['build']: version += f"+{VERSION_INFO['build']}" return version def get_supported_formats_string() -> str: """Get comma-separated string of supported formats""" return ", ".join(SUPPORTED_AUDIO_FORMATS) def is_supported_audio_format(file_extension: str) -> bool: """Check if file extension is supported""" return file_extension.lower() in SUPPORTED_AUDIO_EXTENSIONS def get_whisper_model_info(model_name: str) -> Dict[str, str]: """Get information about a Whisper model""" return WHISPER_MODELS.get(model_name, WHISPER_MODELS[DEFAULT_WHISPER_MODEL]) def get_openai_model_info(model_name: str) -> Dict[str, str]: """Get information about an OpenAI model""" return OPENAI_MODELS.get(model_name, OPENAI_MODELS[DEFAULT_OPENAI_MODEL])