Upload app.py with huggingface_hub

app.py

@@ -571,7 +571,7 @@ class NutritionBot:
         self.client = ChatOpenAI(
             model_name="gpt-4o",  # Specify the model to use (e.g., GPT-4 optimized version)
             api_key = my_api_key, # config.get("API_KEY"),  # API key for authentication
-            #endpoint = endpoint, # config.get("OPENAI_API_BASE"),
+            base_url = endpoint, # config.get("OPENAI_API_BASE"),
             temperature=0  # Controls randomness in responses; 0 ensures deterministic results
         )
 
@@ -767,7 +767,7 @@ def nutrition_disorder_streamlit():
                     if 'chatbot' not in st.session_state:
                         st.session_state.chatbot = NutritionBot() # Blank #6: Fill in with the chatbot class initialization (e.g., NutritionBot)
 
-                    response = st.session_state.chatbot.handle_customer_query(st.session_state.user_id, user_query) 
+                    response = st.session_state.chatbot.handle_customer_query(st.session_state.user_id, user_query)
                     # Blank #7: Fill in with the method to handle queries (e.g., handle_customer_query)
                     st.write(response)
                     st.session_state.chat_history.append({"role": "assistant", "content": response})