Refactor config.py to separate Hub and local paths

config.py

@@ -3,18 +3,29 @@ import os
 
 HF_TOKEN = os.environ.get("HF_TOKEN")
 HF_MODEL_HUB = os.environ.get("HF_MODEL_HUB", "m97j/pragmatic-search")
+
 FALLBACK_DATASET_ID = os.environ.get("FALLBACK_DATASET_ID", "m97j/pls-datasets")
 SESSIONS_DATASET_ID = os.environ.get("HF_SESSIONS_DATASET_ID", "pls-assistant-sessions")
+
+HF_LLM_FILENAME = os.environ.get("HF_LLM_FILENAME", "llm/model_int8.pt")
+HF_CONFIG_FILENAME = os.environ.get("HF_CONFIG_FILENAME", "llm/config.json")
+HF_RERANKER_FILENAME = os.environ.get("HF_RERANKER_FILENAME", "reranker/model_quantized.onnx")
+
 LLM_LOCAL_PATH = os.environ.get("HF_LLM_LOCAL_PATH", "./llm/model_int8.pt")
 CONFIG_LOCAL_PATH = os.environ.get("HF_CONFIG_LOCAL_PATH", "./llm/config.json")
-RERANKER_LOCAL_PATH = os.environ.get("RERANKER_LOCAL_PATH", "./reranker/8bit_quantized_bge-reranker-v2-m3.onnx")
+RERANKER_LOCAL_PATH = os.environ.get("RERANKER_LOCAL_PATH", "./reranker/model_quantized.onnx")
+
 LLM_LOCAL_DIR = os.path.dirname(LLM_LOCAL_PATH)
 CONFIG_LOCAL_DIR = os.path.dirname(CONFIG_LOCAL_PATH)
+RERANKER_LOCAL_DIR = os.path.dirname(RERANKER_LOCAL_PATH)
+
 HF_LLM_REPO = os.environ.get("HF_LLM_REPO", "Qwen/Qwen3-8B")
 HF_RERANKER_REPO = os.environ.get("HF_RERANKER_REPO", "BAAI/bge-reranker-v2-m3")
+
 GOOGLE_API_KEY = os.environ.get("GOOGLE_API_KEY")
 GOOGLE_CSE_ID = os.environ.get("GOOGLE_CSE_ID")
 TAVILY_SEARCH_API_KEY = os.environ.get("TAVILY_SEARCH_API_KEY")
 SERPER_API_KEY = os.environ.get("SERPER_API_KEY")
 RAG_API_URL = os.environ.get("RAG_API_URL", "fallback")
+
 REFINE_THRESHOLD = float(os.environ.get("REFINE_THRESHOLD", "0.7"))