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| import os | |
| from pathlib import Path | |
| class Config: | |
| # === Base paths === | |
| PROJECT_ROOT = Path(__file__).resolve().parent | |
| ICON_DIR = os.path.join(PROJECT_ROOT, "icons") | |
| DATA_DIR = os.path.join(PROJECT_ROOT, "data") | |
| STORED_CHUNK_DIR = os.path.join(PROJECT_ROOT, "doc_chunks") | |
| UPLOAD_DIR = os.path.join(PROJECT_ROOT, "upload") | |
| PROMPT_DIR = os.path.join(PROJECT_ROOT, "prompts") | |
| NLTK_DIR = os.path.join(PROJECT_ROOT, "nltk_words") | |
| SAVED_ID_PATH = os.path.join(DATA_DIR, "saved_ids.csv") | |
| SAVED_DATA_PATH = os.path.join(DATA_DIR, "saved_data.txt") | |
| RAG_PROMPT = os.path.join(PROMPT_DIR, "rag_prompt.txt") | |
| AGENT_PROMPT = os.path.join(PROMPT_DIR, "agent_prompt.txt") | |
| UPLOAD_ICON = os.path.join(ICON_DIR, "upload.png") | |
| COLLECTION_NAME = "qdrant_collection" | |
| QDRANT_PERSIST_PATH = "qdrant_database" | |
| # Qdrant DB | |
| EMBEDDING_MODEL_NAME = "BAAI/bge-large-en-v1.5" # "BAAI/bge-base-en-v1.5" | |
| BATCH_SIZE = 20 # Qdrant batch size | |
| TOP_K = 4 | |
| ALPHA = 0.5 | |
| CHUNK_SIZE = 500 | |
| CHUNK_OVERLAP = 100 | |
| FILE_EXTENSIONS = [".pdf", ".docx", ".xlsx", ".pptx", ".csv", ".txt", ".json"] | |
| LLM_MODEL = "gemini-2.5-flash" | |
| TEMPERATURE = 0.7 | |
| SESSION_ID = "chatbot_user" | |