test

app.py

@@ -72,6 +72,7 @@ if option == 'MILESTONE 3: FINE-TUNED':
     model = AutoModelForSequenceClassification.from_pretrained(model_name)
     tokenizer = AutoTokenizer.from_pretrained(model_name)
     classifier = pipeline(task="sentiment-analysis", model=model, tokenizer=tokenizer)
+
     # pipeline
     preds = classifier(textIn)
     preds = [{"score": round(pred["score"], 4), "label": pred["label"]} for pred in preds]