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app.py

@@ -31,6 +31,9 @@ from langchain_core.prompts import ChatPromptTemplate
 # LangChain OpenAI imports
 from langchain_openai import AzureOpenAIEmbeddings, AzureChatOpenAI  # OpenAI embeddings and models
 from langchain.embeddings.openai import OpenAIEmbeddings  # OpenAI embeddings for text vectors
+# Added
+from langchain_openai import OpenAIEmbeddings, ChatOpenAI
+from langchain_openai import ChatOpenAI
 
 # LlamaParse & LlamaIndex imports
 from llama_parse import LlamaParse  # Document parsing library
@@ -54,22 +57,16 @@ from datetime import datetime
 
 #====================================SETUP=====================================#
 # Fetch secrets from Hugging Face Spaces
-#api_key = config.get("API_KEY")
-#endpoint = config.get("OPENAI_API_BASE")
 api_key = os.environ["API_KEY"]
-print(f"api_key::{api_key}")
+#print(f"api_key::{api_key}")
 endpoint = os.environ["OPENAI_API_BASE"]
-print(f"endpoint::{endpoint}" )
-#groq_api_key = config.get('LLAMA_API_KEY') # llama_api_key = os.environ['GROQ_API_KEY']
-#MEM0_api_key = config.get('MEM0_API_KEY') # MEM0_api_key = os.environ['mem0']
-#my_api_key = config.get("MY_API_KEY")
-
+#print(f"endpoint::{endpoint}" )
 groq_api_key = os.environ['LLAMA_API_KEY'] # llama_api_key = os.environ['GROQ_API_KEY']
-print(f"groq_api_key::{groq_api_key}")
+#print(f"groq_api_key::{groq_api_key}")
 MEM0_api_key = os.environ['MEM0_API_KEY'] # MEM0_api_key = os.environ['mem0']
-print(f"MEM0_api_key::{MEM0_api_key}")
+#print(f"MEM0_api_key::{MEM0_api_key}")
 my_api_key = os.environ["MY_API_KEY"]
-print(f"my_api_key::{my_api_key}")
+#print(f"my_api_key::{my_api_key}")
 
 # Initialize the OpenAI embedding function for Chroma
 embedding_function = chromadb.utils.embedding_functions.OpenAIEmbeddingFunction(