Update app.py

app.py

@@ -82,7 +82,7 @@ input_size = 768 + metadata_features # featurizer output size + metadata size
 log_reg = LogisticRegressionTorch(input_dim=input_size, output_dim=N_UNIQUE_CLASSES)
 
 # Load Weights
-model_weights_path = '/your_model_weights.pth'
+model_weights_path = '/gena-blastln-bs33-lr4e-05-S168.pth'
 weights = torch.load(model_weights_path, map_location=torch.device('cpu'))
 
 model = BertClassifier(base_model, log_reg, num_labels = N_UNIQUE_CLASSES)