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https://huggingface.co/spaces/Aayan873/MultiModal_RAG/resolve/main/config.py
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curl -L -o config.py https://huggingface.co/spaces/Aayan873/MultiModal_RAG/resolve/main/config.py
1.88 kB
| # Configuration file for Multimodal RAG System - Deployment Optimized | |
| import os | |
| from pathlib import Path | |
| # Model configurations - optimized for CPU deployment | |
| MODELS_CONFIG = { | |
| "text_encoder": "all-MiniLM-L6-v2", # Fast, small text encoder | |
| "clip_model": "openai/clip-vit-base-patch32", # Balanced CLIP model | |
| "whisper_small": "base", # Use base model for better CPU performance | |
| "whisper_base": "base", | |
| "llm_model": "mistral-7b-openorca.Q4_0.gguf" # Quantized model for CPU | |
| } | |
| # File type configurations | |
| SUPPORTED_DOCUMENT_TYPES = ['pdf', 'docx', 'txt'] | |
| SUPPORTED_IMAGE_TYPES = ['png', 'jpg', 'jpeg', 'webp'] | |
| SUPPORTED_AUDIO_TYPES = ['mp3', 'wav', 'ogg', 'm4a'] | |
| # Processing configurations | |
| EMBEDDING_DIMENSIONS = { | |
| "text": 384, | |
| "clip_large": 768, | |
| "clip_base": 512 | |
| } | |
| # GPU settings (for local development) | |
| GPU_MEMORY_FRACTION = 0.7 # Use 70% of GPU memory if available | |
| FAISS_TEMP_MEMORY = 256 * 1024 * 1024 # 256MB for FAISS operations | |
| # Data storage - optimized for deployment | |
| DATA_DIRECTORY = Path("./rag_data") | |
| DATA_FILES = { | |
| "documents": "documents.json", | |
| "metadata": "metadata.json", | |
| "faiss_index": "faiss_index.bin", | |
| "embeddings": "embeddings.npy" | |
| } | |
| # Generation settings - optimized for CPU | |
| DEFAULT_TOP_K = 5 | |
| MAX_CONTEXT_LENGTH = 2048 # Reduced for faster processing | |
| LLM_TEMPERATURE = 0.7 | |
| LLM_MAX_TOKENS = 512 # Reduced for faster response | |
| # Streamlit configuration | |
| STREAMLIT_CONFIG = { | |
| "page_title": "Multimodal RAG System", | |
| "layout": "wide", | |
| "initial_sidebar_state": "expanded" | |
| } | |
| # Deployment specific settings | |
| DEPLOYMENT_MODE = os.getenv("DEPLOYMENT_MODE", "local") # local, spaces, cloud | |
| MAX_FILE_SIZE_MB = 50 # Max upload size in MB | |
| ENABLE_GPU = os.getenv("ENABLE_GPU", "auto") # auto, true, false | |
| # Demo content for deployment | |
| DEMO_ENABLED = True | |
| DEMO_FILES_PATH = Path("./demo_files") | |