Update app.py with debug print

app.py

@@ -79,20 +79,21 @@ class DrugTargetInteractionApp:
             # Tokenize inputs
             target_inputs = self.target_tokenizer(
                 target_sequence,
-                padding=True,
-                truncation=True,
-                max_length=max_length,
+                padding="max_length", 
+                truncation=True, 
+                max_length=512,
                 return_tensors="pt"
             ).to(self.device)
             
             drug_inputs = self.drug_tokenizer(
                 drug_smiles,
-                padding=True,
-                truncation=True,
-                max_length=max_length,
+                padding="max_length", 
+                truncation=True, 
+                max_length=512,
                 return_tensors="pt"
             ).to(self.device)
             
+            print(drug_inputs.shape, target_inputs.shape)
             # Make prediction
             with torch.no_grad():
                 prediction = self.model(target_inputs, drug_inputs)