quickdoc/env.example at main · digitaldrreamer/quickdoc · GitHub

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# QuickDoc Configuration File
# Copy this file to .env and modify values as needed

# ===== BASIC SERVER CONFIGURATION =====
PORT=8005
MAX_FILE_SIZE_MB=15
LOG_LEVEL=INFO

# ===== FEATURE FLAGS =====
# Enable/disable major components to save resources
ENABLE_SUMMARIZATION=true
ENABLE_EMBEDDING_MODEL=true
ENABLE_TOKEN_COUNTING=true
ENABLE_DOCUMENT_PROCESSING=true

# ===== DOCUMENT PROCESSING FEATURES =====
# Fine-grained control over document processing
ENABLE_PDF_PROCESSING=true
ENABLE_DOCX_PROCESSING=true
ENABLE_IMAGE_OCR=true
ENABLE_MARKDOWN_PROCESSING=true

# ===== AI MODEL CONFIGURATION =====
# Specify which models to use (Hugging Face model names)
SUMMARIZATION_MODEL=google/flan-t5-small
EMBEDDING_MODEL=all-MiniLM-L6-v2

# ===== EXTERNAL SERVICE TOKENS =====
# Optional tokens for enhanced functionality
# HUGGING_FACE_HUB_TOKEN=your_token_here

# ===== ADVANCED CONFIGURATION =====
# Summarization service settings
SUMMARIZATION_TIMEOUT=300
MAX_SUMMARIZATION_QUEUE_SIZE=100

# ===== RESOURCE-CONSTRAINED DEPLOYMENT EXAMPLES =====
# Example 1: Minimal deployment (text extraction only)
# ENABLE_SUMMARIZATION=false
# ENABLE_EMBEDDING_MODEL=false
# ENABLE_TOKEN_COUNTING=false
# ENABLE_IMAGE_OCR=false

# Example 2: PDF-only processing
# ENABLE_DOCX_PROCESSING=false
# ENABLE_IMAGE_OCR=false
# ENABLE_MARKDOWN_PROCESSING=false

# Example 3: AI-only deployment (no document processing)
# ENABLE_DOCUMENT_PROCESSING=false