Enhance README.md with Docker installation instructions and update Ollama API endpoint to be configurable via environment variable.

docker-compose.yml

@@ -0,0 +1,51 @@
+version: '3.8'
+
+services:
+  videotranscriber:
+    build: .
+    container_name: videotranscriber
+    ports:
+      - "8501:8501"
+    volumes:
+      # Mount your video files directory (change the left path to your actual videos folder)
+      - "${VIDEO_PATH:-./videos}:/app/data/videos"
+      # Mount output directory for transcripts and summaries
+      - "${OUTPUT_PATH:-./outputs}:/app/data/outputs" 
+      # Mount cache directory for model caching (optional, improves performance)
+      - "${CACHE_PATH:-./cache}:/app/data/cache"
+      # Mount a config directory if needed
+      - "${CONFIG_PATH:-./config}:/app/config"
+    environment:
+      # Ollama configuration for host access
+      - OLLAMA_API_URL=${OLLAMA_API_URL:-http://host.docker.internal:11434/api}
+      # Optional: HuggingFace token for advanced features
+      - HF_TOKEN=${HF_TOKEN:-}
+      # GPU configuration
+      - CUDA_VISIBLE_DEVICES=${CUDA_VISIBLE_DEVICES:-}
+      # Cache settings
+      - TRANSFORMERS_CACHE=/app/data/cache/transformers
+      - WHISPER_CACHE=/app/data/cache/whisper
+    # For GPU access (uncomment if you have NVIDIA GPU and nvidia-docker)
+    # deploy:
+    #   resources:
+    #     reservations:
+    #       devices:
+    #         - driver: nvidia
+    #           count: 1
+    #           capabilities: [gpu]
+    restart: unless-stopped
+    # For Linux hosts, you might prefer host networking for better Ollama access
+    # network_mode: host  # Uncomment for Linux hosts
+    # Use bridge networking for Windows/Mac with host.docker.internal
+    networks:
+      - videotranscriber-network
+    healthcheck:
+      test: ["CMD", "curl", "-f", "http://localhost:8501/_stcore/health"]
+      interval: 30s
+      timeout: 10s
+      retries: 3
+      start_period: 60s
+
+networks:
+  videotranscriber-network:
+    driver: bridge