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- Create config.py with model, device, and format settings - Add model descriptions and performance information - Expand README with detailed installation instructions - Add troubleshooting section for common issues - Include advanced usage examples - Document all export formats and features - Add performance tips and recommendations - Phase 6 complete: Full configuration and documentation ready
73 lines
2.1 KiB
Python
73 lines
2.1 KiB
Python
"""
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Configuration settings for Farsi Transcriber application
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Manages model selection, device settings, and other configuration options.
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"""
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import os
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from pathlib import Path
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# Application metadata
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APP_NAME = "Farsi Transcriber"
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APP_VERSION = "0.1.0"
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APP_DESCRIPTION = "A desktop application for transcribing Farsi audio and video files"
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# Model settings
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DEFAULT_MODEL = "medium" # Options: tiny, base, small, medium, large
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AVAILABLE_MODELS = ["tiny", "base", "small", "medium", "large"]
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MODEL_DESCRIPTIONS = {
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"tiny": "Smallest model (39M params) - Fastest, ~1GB VRAM required",
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"base": "Small model (74M params) - Fast, ~1GB VRAM required",
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"small": "Medium model (244M params) - Balanced, ~2GB VRAM required",
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"medium": "Large model (769M params) - Good accuracy, ~5GB VRAM required",
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"large": "Largest model (1550M params) - Best accuracy, ~10GB VRAM required",
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}
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# Language settings
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LANGUAGE_CODE = "fa" # Farsi/Persian
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LANGUAGE_NAME = "Farsi"
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# Audio/Video settings
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SUPPORTED_AUDIO_FORMATS = {".mp3", ".wav", ".m4a", ".flac", ".ogg", ".aac", ".wma"}
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SUPPORTED_VIDEO_FORMATS = {".mp4", ".mkv", ".mov", ".webm", ".avi", ".flv", ".wmv"}
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# UI settings
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WINDOW_WIDTH = 900
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WINDOW_HEIGHT = 700
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WINDOW_MIN_WIDTH = 800
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WINDOW_MIN_HEIGHT = 600
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# Output settings
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OUTPUT_DIR = Path.home() / "FarsiTranscriber" / "outputs"
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OUTPUT_DIR.mkdir(parents=True, exist_ok=True)
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EXPORT_FORMATS = {
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"txt": "Plain Text",
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"srt": "SRT Subtitles",
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"vtt": "WebVTT Subtitles",
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"json": "JSON Format",
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"tsv": "Tab-Separated Values",
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}
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# Device settings (auto-detect CUDA if available)
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try:
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import torch
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DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
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except ImportError:
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DEVICE = "cpu"
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# Logging settings
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LOG_LEVEL = "INFO"
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LOG_FILE = OUTPUT_DIR / "transcriber.log"
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def get_model_info(model_name: str) -> str:
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"""Get description for a model"""
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return MODEL_DESCRIPTIONS.get(model_name, "Unknown model")
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def get_supported_formats() -> set:
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"""Get all supported audio and video formats"""
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return SUPPORTED_AUDIO_FORMATS | SUPPORTED_VIDEO_FORMATS
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