Update config.py

app/core/config.py

@@ -9,8 +9,10 @@ OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
 QDRANT_API_KEY = os.getenv("QDRANT_API_KEY")
 
 QDRANT_ENDPOINT = os.getenv("QDRANT_ENDPOINT")
-QDRANT_MOVIE_COLLECTION_NAME = os.getenv("QDRANT_MOVIE_COLLECTION_NAME_BGE")
-QDRANT_TV_COLLECTION_NAME = os.getenv("QDRANT_TV_COLLECTION_NAME_BGE")
+# QDRANT_MOVIE_COLLECTION_NAME = os.getenv("QDRANT_MOVIE_COLLECTION_NAME_BGE")
+# QDRANT_TV_COLLECTION_NAME = os.getenv("QDRANT_TV_COLLECTION_NAME_BGE")
+QDRANT_MOVIE_COLLECTION_NAME = "Movies_BGE_June"
+QDRANT_TV_COLLECTION_NAME = "TV_Shows_BGE_June"
 
 SUPABASE_URL = os.getenv("SUPABASE_URL")
 SUPABASE_API_KEY = os.getenv("SUPABASE_API_KEY")
@@ -18,12 +20,12 @@ SUPABASE_API_KEY = os.getenv("SUPABASE_API_KEY")
 NLTK_PATH = Path(__file__).resolve().parent.parent.parent / "data" / "nltk_data"
 BM25_PATH = Path(__file__).resolve().parent.parent.parent / "data" / "bm25_files"
 
-INTENT_MODEL = "JJTsao/intent-classifier-distilbert-moviebot"  # Fine-tuned intent classification model for query intent classifiation
+INTENT_MODEL = "JJTsao/intent-classifier-distilbert-movierec"  # Fine-tuned intent classification model for query intent classifiation
 EMBEDDING_MODEL = "JJTsao/fine-tuned_movie_retriever-bge-base-en-v1.5"  # Fine-tuned sentence transfomer model for query dense vector embedding
 OPENAI_MODEL = "gpt-4o-mini"  # LLM for chat completions
 
 
-if not OPENAI_API_KEY or not QDRANT_API_KEY or not SUPABASE_API_KEY:
+if not OPENAI_API_KEY or not QDRANT_API_KEY:
     raise ValueError("Missing API key(s).")
 if (
     not QDRANT_ENDPOINT