Update app.py

app.py

@@ -60,6 +60,9 @@ async def train_and_save_model():
             continue
 
         for intent in intents['intents']:
+            if not intent['patterns']:
+                continue
+
             for pattern in intent['patterns']:
                 w = nltk.word_tokenize(pattern)
                 words.extend(w)
@@ -68,6 +71,9 @@ async def train_and_save_model():
                     classes.append(intent['tag'])
 
             for _ in range(100000):
+                if not intent['patterns']:
+                    break
+
                 new_pattern = []
                 for word in random.choice(intent['patterns']).split():
                     synonyms = wordnet.synsets(word)
@@ -78,6 +84,8 @@ async def train_and_save_model():
                         new_pattern.append(word)
                 intent['patterns'].append(" ".join(new_pattern))
 
+            print(f"Generated patterns for intent '{intent['tag']}': {intent['patterns'][:10]}")
+
         words = [lemmatizer.lemmatize(w.lower()) for w in words if w not in ignore_words]
         words = sorted(list(set(words)))