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app.py

@@ -58,15 +58,15 @@ from datetime import datetime
 #====================================SETUP=====================================#
 # Fetch secrets from Hugging Face Spaces
 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}" )
+#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(
@@ -781,7 +781,7 @@ def nutrition_disorder_streamlit():
                     else:
                         st.write("In st.session_state...")
 
-                    st.write("Getting response...")
+                    st.write(f"Getting response...\nSession state: {st.session_state.user_id}\nUser query: {user_query}")
                     response = st.session_state.chatbot.handle_customer_query(st.session_state.user_id, user_query) 
                     st.write(f"Got response: {response}")
                     # Blank #7: Fill in with the method to handle queries (e.g., handle_customer_query)