Update app.py

app.py

@@ -103,13 +103,13 @@ class TextClassifier:
         
         self.model = AutoModelForSequenceClassification.from_pretrained(
             self.model_name,
-            num_labels=2,
-            torchscript=True  # Enable TorchScript optimization
+            num_labels=2
         ).to(self.device)
         
         if self.device.type == 'cpu':
-            self.model.eval()  # Ensure model is in eval mode for optimization
-            self.model = torch.jit.optimize_for_inference(torch.jit.script(self.model))
+            # Enable faster CPU performance without TorchScript
+            torch.set_num_threads(MAX_WORKERS)
+            torch.set_num_interop_threads(MAX_WORKERS)
             
         model_path = "model_20250209_184929_acc1.0000.pt"
         if os.path.exists(model_path):