Update app.py

app.py

@@ -139,16 +139,8 @@ def create_vector_db(final_items):
     global db
     client = chromadb.Client()
     collection_name = "BioModelsRAG"
-    
-    try:
-        db = client.create_collection(
-            name=collection_name,
-            metadata={"hnsw:space": "cosine"}, 
-            embedding_function="all-MiniLM-L6-v2"  # Corrected spelling
-        )
-    except UniqueConstraintError:
-        print(f"Collection '{collection_name}' already exists.")
-        db = client.get_collection(name=collection_name, embedding_function="all-MiniLM-L6-v2")  # Adjusted to use `client`
+    print(f"Collection '{collection_name}' already exists.")
+    db = client.get_collection(name=collection_name, embedding_function="all-MiniLM-L6-v2")
 
     # Initialize Llama model
     llm = Llama.from_pretrained(