Update app.py

app.py

@@ -9,14 +9,16 @@ from nltk.data import load as nltk_load
 from transformers import AutoTokenizer, AutoModelForCausalLM
 
 
-NLTK = nltk_load('data/english.pickle')
-sent_cut_en = NLTK.tokenize
-clf = joblib.load(f'data/gpt2-large-model', 'rb')
-
+print("Loading model & Tokenizer...")
 model_id  = 'gpt2-large'
 tokenizer = AutoTokenizer.from_pretrained(model_id)
 model     = AutoModelForCausalLM.from_pretrained(model_id)
 
+print("Loading NLTL & and scikit-learn model...")
+NLTK = nltk_load('data/english.pickle')
+sent_cut_en = NLTK.tokenize
+clf = joblib.load(f'data/gpt2-large-model', 'rb')
+
 CROSS_ENTROPY = torch.nn.CrossEntropyLoss(reduction='none')
 
 
@@ -99,6 +101,7 @@ def predict(text):
     return out
 
 
+print("Building Gradio Interface...")
 with gr.Blocks() as demo:
     gr.Markdown(
         """