Update app.py

app.py

@@ -5,6 +5,8 @@ from langchain_community.vectorstores import Neo4jVector
 from transformers import AutoTokenizer, AutoModel
 import torch
 
+print(f"Username Neo4j: {os.environ.get('NEO4J_USERNAME')}")
+
 # Custom Embedding Class
 class CustomHuggingFaceEmbeddings:
     def __init__(self, model_name="sentence-transformers/all-MiniLM-L6-v2"):
@@ -28,9 +30,9 @@ class CustomHuggingFaceEmbeddings:
 def setup_vector_index():
     return Neo4jVector.from_existing_graph(
         CustomHuggingFaceEmbeddings(),
-        url=os.environ['NEO4J_URI'],
-        username=os.environ['NEO4J_USERNAME'],
-        password=os.environ['NEO4J_PASSWORD'],
+        url=os.environ.get('NEO4J_URI'),
+        username=os.environ.get('NEO4J_USERNAME'),
+        password=os.environ.get('NEO4J_PASSWORD'),
         index_name='articles',
         node_label="Article",
         text_node_properties=['topic', 'title', 'abstract'],