feat: better configuration
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leonardotrapani
@@ -0,0 +1,168 @@
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package config
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import (
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"fmt"
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"os"
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)
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func SaveDefaultConfig() error {
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configPath, err := GetConfigPath()
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if err != nil {
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return err
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}
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file, err := os.Create(configPath)
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if err != nil {
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return fmt.Errorf("failed to create config file: %w", err)
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}
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defer file.Close()
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configContent := `# Hyprvoice Configuration
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# This file is automatically generated with defaults.
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# Edit values as needed - changes are applied immediately without daemon restart.
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#
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# MIGRATION NOTE: If upgrading from an older version, your transcription.api_key
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# will be automatically migrated to the new [providers.X] format. Run 'hyprvoice configure'
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# to update your config file structure.
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# Keywords help both transcription and LLM understand domain-specific terms
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# Add names, technical terms, or brand names that might be misheard
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keywords = []
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# ─────────────────────────────────────────────────────────────────────────────
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# Provider API Keys
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# Configure API keys for each provider you want to use.
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# Keys can also be set via environment variables: OPENAI_API_KEY, GROQ_API_KEY, etc.
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# ─────────────────────────────────────────────────────────────────────────────
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[providers.openai]
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api_key = "" # OpenAI API key (or set OPENAI_API_KEY env var)
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[providers.groq]
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api_key = "" # Groq API key (or set GROQ_API_KEY env var)
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# Uncomment to configure additional providers:
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# [providers.mistral]
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# api_key = "" # Mistral API key (or set MISTRAL_API_KEY env var)
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# [providers.elevenlabs]
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# api_key = "" # ElevenLabs API key (or set ELEVENLABS_API_KEY env var)
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# ─────────────────────────────────────────────────────────────────────────────
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# Audio Recording
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# ─────────────────────────────────────────────────────────────────────────────
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[recording]
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sample_rate = 16000 # Audio sample rate in Hz (16000 recommended for speech)
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channels = 1 # Number of audio channels (1 = mono, 2 = stereo)
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format = "s16" # Audio format (s16 = 16-bit signed integers)
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buffer_size = 8192 # Internal buffer size in bytes (larger = less CPU, more latency)
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device = "" # PipeWire audio device (empty = use default microphone)
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channel_buffer_size = 30 # Audio frame buffer size (frames to buffer)
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timeout = "5m" # Maximum recording duration (e.g., "30s", "2m", "5m")
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# ─────────────────────────────────────────────────────────────────────────────
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# Speech Transcription
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# Converts audio to text using speech-to-text APIs
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# ─────────────────────────────────────────────────────────────────────────────
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[transcription]
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provider = "openai" # "openai", "groq-transcription", "groq-translation", "mistral-transcription", "elevenlabs"
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language = "" # Language code (empty = auto-detect, "en", "it", "es", "fr", etc.)
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model = "whisper-1" # Model: OpenAI="whisper-1", Groq="whisper-large-v3", Mistral="voxtral-mini-latest", ElevenLabs="scribe_v1"
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# ─────────────────────────────────────────────────────────────────────────────
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# LLM Post-Processing (Recommended)
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# Cleans up transcribed text: removes stutters, adds punctuation, fixes grammar
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# ─────────────────────────────────────────────────────────────────────────────
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[llm]
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enabled = true # Enable LLM post-processing (highly recommended)
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provider = "openai" # "openai" or "groq" (must have API key configured above)
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model = "gpt-4o-mini" # OpenAI: "gpt-4o-mini", Groq: "llama-3.3-70b-versatile"
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[llm.post_processing]
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remove_stutters = true # Remove "um", "uh", repeated words
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add_punctuation = true # Add proper punctuation
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fix_grammar = true # Fix grammatical errors
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remove_filler_words = true # Remove "like", "you know", "basically"
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[llm.custom_prompt]
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enabled = false # Enable custom instructions for LLM
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prompt = "" # Additional instructions (e.g., "Format as bullet points")
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# ─────────────────────────────────────────────────────────────────────────────
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# Text Injection
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# How transcribed text is inserted into applications
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# ─────────────────────────────────────────────────────────────────────────────
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[injection]
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backends = ["ydotool", "wtype", "clipboard"] # Ordered fallback chain (tries each until one succeeds)
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ydotool_timeout = "5s" # Timeout for ydotool commands
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wtype_timeout = "5s" # Timeout for wtype commands
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clipboard_timeout = "3s" # Timeout for clipboard operations
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# ─────────────────────────────────────────────────────────────────────────────
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# Desktop Notifications
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# ─────────────────────────────────────────────────────────────────────────────
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[notifications]
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enabled = true # Enable desktop notifications
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type = "desktop" # "desktop", "log", or "none"
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# Custom notification messages (optional - defaults shown below)
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# Uncomment and modify to customize notification text
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# [notifications.messages]
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# [notifications.messages.recording_started]
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# title = "Hyprvoice"
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# body = "Recording Started"
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# [notifications.messages.transcribing]
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# title = "Hyprvoice"
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# body = "Recording Ended... Transcribing"
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# [notifications.messages.llm_processing]
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# title = "Hyprvoice"
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# body = "Processing..."
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# [notifications.messages.config_reloaded]
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# title = "Hyprvoice"
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# body = "Config Reloaded"
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# [notifications.messages.operation_cancelled]
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# title = "Hyprvoice"
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# body = "Operation Cancelled"
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# [notifications.messages.recording_aborted]
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# body = "Recording Aborted"
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# [notifications.messages.injection_aborted]
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# body = "Injection Aborted"
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#
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# Emoji-only example (for minimal pill-style notifications):
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# [notifications.messages.recording_started]
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# title = ""
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# body = "..."
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# ─────────────────────────────────────────────────────────────────────────────
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# Reference: Provider Details
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# ─────────────────────────────────────────────────────────────────────────────
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#
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# Transcription providers:
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# - "openai": OpenAI Whisper API (cloud-based, excellent accuracy)
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# - "groq-transcription": Groq Whisper API (very fast, models: whisper-large-v3, whisper-large-v3-turbo)
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# - "groq-translation": Groq translation to English (always outputs English text, model: whisper-large-v3)
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# - "mistral-transcription": Mistral Voxtral API (excellent for European languages, model: voxtral-mini-latest)
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# - "elevenlabs": ElevenLabs Scribe API (99 languages, models: scribe_v1, scribe_v2)
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#
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# LLM providers (for post-processing):
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# - "openai": GPT models (gpt-4o-mini recommended for cost/quality balance)
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# - "groq": Fast inference (llama-3.3-70b-versatile recommended)
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#
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# Injection backends:
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# - "ydotool": Uses ydotool (requires ydotoold daemon). Best for Chromium/Electron apps.
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# - "wtype": Uses wtype for Wayland. May have issues with some Chromium apps.
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# - "clipboard": Copies to clipboard only (most reliable, requires manual paste).
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#
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# Language codes: "" (auto-detect), "en", "it", "es", "fr", "de", "pt", etc.
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`
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if _, err := file.WriteString(configContent); err != nil {
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return fmt.Errorf("failed to write config content: %w", err)
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}
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return nil
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}
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