Update app.py

app.py

@@ -139,7 +139,9 @@ def create_vector_db(final_items):
     global db
     client = chromadb.Client()
     collection_name = "BioModelsRAG"
-    db = client.get_or_create_collection(name=collection_name, embedding_function = "all-MiniLM-L6-v2")
+    embedding_function = embedding_functions.SentenceTransformerEmbeddingFunction(model_name="all-MiniLM-L6-v2")
+    
+    db = client.get_or_create_collection(name=collection_name, embedding_function = embedding_function)
 
     # Initialize Llama model
     llm = Llama.from_pretrained(