Update app.py

app.py

@@ -32,28 +32,33 @@ model.load("MentalHealthChatBotmodel.tflearn")
 
 def bag_of_words(s, words):
     bag = [0 for _ in range(len(words))]
-
     s_words = nltk.word_tokenize(s)
+    print("Tokenized words:", s_words)  # Debugging
     s_words = [stemmer.stem(word.lower()) for word in s_words]
+    print("Stemmed words:", s_words)  # Debugging
 
     for se in s_words:
         for i, w in enumerate(words):
             if w == se:
                 bag[i] = 1
-            
     return np.array(bag)
 
 
 def chat(message, history=None):
-    if history is None:
-        history = []
+    history = history or []
     message = message.lower()
 
     try:
-        results = model.predict([bag_of_words(message, words)])
+        print("User message:", message)  # Debugging
+        bag = bag_of_words(message, words)
+        print("Bag of words:", bag)  # Debugging
+        results = model.predict([bag])
+        print("Prediction results:", results)  # Debugging
         results_index = np.argmax(results)
         tag = labels[results_index]
+        print("Predicted tag:", tag)  # Debugging
     except Exception as e:
+        print(f"Error during processing: {e}")  # Log the error
         response = "I'm sorry, I couldn't understand your message."
         history.append((message, response))
         return history, history