updated env var

embed_with_db.py

@@ -5,8 +5,15 @@ from langchain_core.runnables import RunnablePassthrough
 from langchain_core.output_parsers import StrOutputParser
 from langchain.prompts import ChatPromptTemplate
 from langchain_community.llms import HuggingFaceEndpoint
-from dotenv import dotenv_values
-config= dotenv_values()
+from os
+config= {
+    'MONGODB_CONN_STRING': os.getenv('MONGODB_CONN_STRING'),  
+    'HUGGINGFACEHUB_API_TOKEN': os.getenv('HUGGINGFACEHUB_API_TOKEN'),
+    'DB_NAME':os.getenv('DB_NAME'),
+    'VECTOR_SEARCH_INDEX':os.getenv('VECTOR_SEARCH_INDEX'),
+    'PASSWORD_DB': os.getenv('PASSWORD_DB')
+    
+}
 client = MongoClient(config['MONGODB_CONN_STRING'])
 embeddings = HuggingFaceEmbeddings(model_name= "intfloat/e5-large-v2")