Update tasks/text.py

tasks/text.py

@@ -75,6 +75,7 @@ async def evaluate_text(request: TextEvaluationRequest):
     # Make random predictions (placeholder for actual model inference)
     true_labels = test_dataset["label"]
 
+    """
     from torch import nn, optim
 
     class SimpleNN2(nn.Module):
@@ -95,12 +96,13 @@ async def evaluate_text(request: TextEvaluationRequest):
             x = self.dropout(x)  # Apply dropout
             x = self.fc3(x)  # Output raw logits
             return x
+    """
 
     current_file_path = os.path.abspath(__file__)
     current_dir = os.path.dirname(current_file_path)
 
-    model_nn = torch.load(os.path.join(current_dir,"model_nn.pth"), map_location=device)
-  
+    # model_nn = torch.load(os.path.join(current_dir,"model_nn.pth"), map_location=device)
+    model_nn = torch.load(os.path.join(current_dir,"model_nn_scripted.pth"), map_location=device)  
         
 
     # Set the model to evaluation mode