Update app.py

app.py

@@ -64,7 +64,7 @@ def predict_sdg(text):
     cleaned_text = prep_text(text)
     if cleaned_text == "":
         raise gr.Error('This model needs some text input to return a prediction')
-    elif cleaned_text != ""
+    elif cleaned_text != "":
         # Tokenize the preprocessed text
         tokenized_text = tokenizer(cleaned_text, return_tensors="pt", truncation=True, max_length=512, padding=True)
         # Predict