Update app.py

app.py

@@ -97,7 +97,9 @@ def vector_search(user_query, collection):
     return list(results)
 
 def mongo_retriever(query):
+    print("mongo retriever query: ", query)
     documents = vector_search(query, mongo_collection)
+    print("DOCuMENTS RETRIEVED: ", documents)
     return documents
 
 
@@ -368,18 +370,13 @@ if uploaded_image and recipe_submit:
 
     # Call the OpenAI API
     openAIresponse = llm.invoke(openAICall)
-    print("AI CALL RESPONSE: ", openAIresponse.content)
+    print("AI CALL RESPONSE: ", openAIresponse.content, "END AI CALL RESONSE")
 
-    print("AI CALL RESPONSE END")
     RAGresponse = get_response(openAIresponse.content + " " + query)
     print("RAGresponse: ", RAGresponse)
     with st.expander("Recipe Generation", expanded=True, icon=':material/menu_book:'):
         st.title('Results: RAG')
-        # RAG the openai response and display
-        print("RAG INPUT", openAIresponse.content + " " + query)
-        print("End rag input")
         display_response(RAGresponse)
-        print("FINAL RAG RESPONSE", RAGresponse)
 elif uploaded_image is not None:
     with st.expander("**Food Classification**", expanded=True, icon=':material/search_insights:'):
         st.title("Results: Image Classification")