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app.py

@@ -29,11 +29,11 @@ from langchain.agents import create_tool_calling_agent, AgentExecutor
 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
+#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
+#from langchain_openai import ChatOpenAI
 
 # LlamaParse & LlamaIndex imports
 from llama_parse import LlamaParse  # Document parsing library
@@ -159,7 +159,6 @@ def expand_query(state):
 vector_store = Chroma(
     collection_name="nutritional_hypotheticals",
     persist_directory="./nutritional_db",
-    #persist_directory="./nutritional_db2",
     embedding_function=embedding_model
 )
 print("vector_store initialized...")
@@ -584,8 +583,8 @@ class NutritionBot:
         #)
 
         self.client = ChatOpenAI(
-          openai_api_base=endpoint,
-          openai_api_key=api_key,
+          #openai_api_base=endpoint,
+          openai_api_key=my_api_key,
           model="gpt-4o",
           streaming=False, # Explicitly disabling streaming
           temperature=0