Update app.py

app.py

@@ -16,9 +16,9 @@ from collections import Counter
 device = torch.device("cpu")
 processor = Wav2Vec2Processor.from_pretrained("facebook/wav2vec2-base-960h")
 model = Wav2Vec2ForSequenceClassification.from_pretrained("facebook/wav2vec2-base-960h", num_labels=2).to(device)
-model_path = "dysarthria_classifier12.pth"
+# model_path = "dysarthria_classifier12.pth"
 # model_path = 'model_weights2.pth'
-# model_path = '/home/user/app/dysarthria_classifier10.pth'
+model_path = '/home/user/app/dysarthria_classifier12.pth'
 
 if os.path.exists(model_path):
     print(f"Loading saved model {model_path}")