Fix elif

app.py

@@ -15,7 +15,7 @@ def load_model(opt):
     if opt == FINETUNED_OPT:
         tokenizer = DistilBertTokenizerFast.from_pretrained('distilbert-base-uncased')
         model = DistilBertForSequenceClassification.from_pretrained('saccharinedreams/finetuned-distilbert-base-uncased-for-hupd')
-    else if opt == DEFAULT_OPT:
+    elif opt == DEFAULT_OPT:
         return model, tokenizer
     elif opt == 'bertweet-base-sentiment-analysis':
         tokenizer = AutoTokenizer.from_pretrained("finiteautomata/bertweet-base-sentiment-analysis")