Update app.py

app.py

@@ -62,7 +62,6 @@ app_examples = [
 ]
 
 
-
 def remove_emojis(data):
     if '@' in data:
         data = re.sub(r"(?<=^|(?<=[^a-zA-Z0-9-_\.]))@([A-Za-z0-9-_]+[A-Za-z0-9-_]+)", "", data).strip()
@@ -96,6 +95,11 @@ def remove_emojis(data):
 
 def predict(text, target, chosen_model):    
     # model1 = tf.keras.models.load_model(chosen_model, custom_objects={"TFBertModel": TFBertModel})
+
+    if '-cleantxt' in chosen_model:
+        text = remove_emojis(text)
+        target = remove_emojis(target)
+        
     model1 = from_pretrained_keras(chosen_model)
     
     checkpoint = kw_to_hf[chosen_model]   # "neuralmind/bert-base-portuguese-cased"