prints the parsed sentence

app.py

@@ -41,6 +41,7 @@ def translate_text(model_name, text):
         
         for sentence in sentences:
             # Tokenize the sentence
+            print(f"Sentence: {sentence}\n")
             tokens = tokenizer(sentence, return_tensors="pt", padding=True)
             if torch.cuda.is_available():
                 tokens = {k: v.to('cuda') for k, v in tokens.items()}