fixes

src/search_final.py

@@ -33,7 +33,9 @@ os.environ["TOKENIZERS_PARALLELISM"] = "false"
 # ---------------- Paths & Models ----------------
 EMBED_MODEL   = "sentence-transformers/all-MiniLM-L6-v2"
 CROSS_ENCODER = "cross-encoder/ms-marco-MiniLM-L-6-v2"
-OUT_DIR       = "data/index_merged"
+# Get the directory where this script is located
+SCRIPT_DIR = os.path.dirname(os.path.abspath(__file__))
+OUT_DIR = os.path.join(SCRIPT_DIR, "data", "index_merged")
 
 FAISS_PATH = os.path.join(OUT_DIR, "faiss_merged.index")
 BM25_PATH  = os.path.join(OUT_DIR, "bm25_merged.pkl")
@@ -67,9 +69,10 @@ try:
     reranker = CrossEncoder(CROSS_ENCODER)
     api_key = os.getenv("HF_API_KEY")
     if not api_key:
-        logger.error("HF_API_KEY environment variable not set. Please check your .env file or environment.")
-        raise ValueError("HF_API_KEY environment variable not set.")
-    client = OpenAI(
+        logger.warning("HF_API_KEY environment variable not set. Mistral API features will not be available.")
+        client = None  # Set client to None when API key is not available
+    else:
+        client = OpenAI(
         base_url="https://router.huggingface.co/v1",
         api_key=api_key
     )
@@ -86,6 +89,9 @@ def get_mistral_answer(query: str, context: str) -> str:
     Calls Mistral 7B Instruct API via Hugging Face Inference API.
     Adds error handling and logging.
     """
+    if client is None:
+        return "Mistral API is not available. Please set HF_API_KEY environment variable to use AI-powered responses."
+    
     prompt = f"Context:\n{context}\n\nQuestion: {query}\nAnswer in full sentences using context."
     try:
         logger.info(f"Calling Mistral API for query: {query}")