Update app.py

app.py

@@ -37,12 +37,18 @@ index = faiss.IndexFlatL2(embedding_dim)
 def preprocess_query(query):
     tokens = query.lower().split()
     epilepsy_keywords = ["seizure", "epilepsy", "convulsion", "neurology", "brain activity", "headache related to epilepsy"] # Added specific phrase
-    healthcare_keywords = ["headache", "fever", "blood pressure", "diabetes", "cough", "flu", "nutrition", "mental health", "pain", "legs", "body pain", "health", "medical", "symptoms", "treatment", "disease"] # Extended healthcare keywords
+    healthcare_keywords = ["headache", "fever", "blood pressure", "diabetes", "cough", "flu", "nutrition", "mental health", "pain", "legs", "body pain", "health", "medical", "symptoms", "treatment", "disease", "illness"] # Extended healthcare keywords - added "illness"
 
     is_epilepsy_related = any(k in tokens for k in epilepsy_keywords)
     is_healthcare_related = any(k in tokens for k in healthcare_keywords) and not is_epilepsy_related # Healthcare but NOT epilepsy
     is_general = not is_epilepsy_related and not is_healthcare_related # Truly general queries
 
+    print(f"Query: {query}") # Debugging prints
+    print(f"Tokens: {tokens}")
+    print(f"Is Epilepsy Related: {is_epilepsy_related}")
+    print(f"Is Healthcare Related: {is_healthcare_related}")
+    print(f"Is General: {is_general}")
+
     return tokens, is_epilepsy_related, is_healthcare_related, is_general
 
 # Function to Generate Response with Chat History
@@ -145,7 +151,7 @@ def generate_response(user_query, chat_history):
     # If General Query (Not Healthcare or Epilepsy Related) - Provide a different response
     elif is_general:
         return (
-            f"**NeuroGuard:** 💡  My expertise is focused on epilepsy and general health.  For topics outside of these areas, like '{user_query}', I may not be the best resource. \n\n" # Use original user_query
+            f"**NeuroGuard:** 💡 My expertise is focused on epilepsy and general health. For topics outside of these areas, like '{user_query}', I may not be the best resource. \n\n" # Use original user_query
             "**Tip:** For general knowledge questions, you might find better answers using a general search engine or a chatbot trained on a broader range of topics."
         )