Initial release: DictIA v0.8.14-alpha (fork de Speakr, AGPL-3.0)

config/docker-compose.example.yml

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+services:
+  app:
+    # Use 'lite' tag for a smaller image (~700MB vs ~4.4GB) without PyTorch
+    # Semantic search in Inquire Mode falls back to text search; all other features work normally
+    image: dictia:latest
+    container_name: dictia
+    restart: unless-stopped
+    ports:
+      - "8899:8899"
+
+    # --- Configuration ---
+    # Environment variables are loaded from the .env file.
+    #
+    # To get started:
+    # 1. Copy this file to your project root:
+    #    cp config/docker-compose.example.yml docker-compose.yml
+    #
+    # 2. Copy the unified transcription config (RECOMMENDED):
+    #    cp config/env.transcription.example .env
+    #
+    #    This supports all providers with auto-detection:
+    #    - OpenAI GPT-4o with diarization (set TRANSCRIPTION_MODEL=gpt-4o-transcribe-diarize)
+    #    - Self-hosted ASR/WhisperX (set ASR_BASE_URL=http://your-asr:9000)
+    #    - Legacy Whisper (set TRANSCRIPTION_MODEL=whisper-1)
+    #
+    #    Legacy config files (still supported):
+    #    - config/env.whisper.example    - Standard Whisper API
+    #    - config/env.whisperx.example   - WhisperX with voice profiles
+    #    - config/env.asr.example        - Basic ASR with diarization
+    #
+    # 3. Edit the .env file to add your API keys:
+    #    - TRANSCRIPTION_API_KEY (for OpenAI) or ASR_BASE_URL (for self-hosted)
+    #    - TEXT_MODEL_API_KEY (REQUIRED for summaries, titles, and chat)
+    #
+    # 4. Start DictIA:
+    #    docker compose up -d
+    env_file:
+      - .env
+    
+    environment:
+      # Set log level for troubleshooting
+      # Use ERROR for production (minimal logs)
+      # Use INFO for debugging issues (recommended when troubleshooting)
+      # Use DEBUG for detailed development logging
+      - LOG_LEVEL=ERROR
+
+    # --- Volume Configuration ---
+    # Choose ONE of the following volume configurations.
+    # Option 1 (Recommended): Bind mounts to local folders.
+    volumes:
+      - ./uploads:/data/uploads
+      - ./instance:/data/instance
+      # Optional: Uncomment if using auto-export feature (ENABLE_AUTO_EXPORT=true)
+      # - ./exports:/data/exports
+      # Optional: Uncomment if using auto-processing feature (ENABLE_AUTO_PROCESSING=true)
+      # - ./auto-process:/data/auto-process
+
+    # Option 2: Docker-managed volumes.
+    # volumes:
+    #   - dictia-uploads:/data/uploads
+    #   - dictia-instance:/data/instance
+    #   # Optional: Uncomment if using auto-export feature
+    #   # - dictia-exports:/data/exports
+    #   # Optional: Uncomment if using auto-processing feature
+    #   # - dictia-auto-process:/data/auto-process