added one dimension into my tokenized data

app.py

@@ -21,8 +21,8 @@ def model_classifier(text):
             attention_mask=encoded_input["attention_mask"]
 
             #turning the inputs into tensors
-            inputs_ids=torch.tensor(input_ids)
-            attention_mask=torch.tensor(attention_mask)
+            inputs_ids=torch.tensor(input_ids).unsqueeze(dim=0)
+            attention_mask=torch.tensor(attention_mask).unsqueeze(dim=0)
             
             logits=model(input_ids,attention_mask).logits  #this is the logits of the labels
             probs_label=softmax(logits,dim=-1)  #turning the probability distribution into normalize form