Update app.py

app.py

@@ -18,9 +18,12 @@ nltk.download('omw-1.4')
 nltk.download('wordnet')
 nltk.download('punkt')
 
-
-model = load_model('model.keras')
-tokenizer = load('tokenizer.pkl')
+try:
+    model = load_model('shubham_english_text_model.h5')
+except ValueError as e:
+    print(f"Error: {e}")
+with open('shubham_english_text_tokenizer.pkl', 'rb') as handle:
+    tokenizer = pickle.load(handle)
 
 def preprocess(text, tokenizer):
     lemmatizer = WordNetLemmatizer()