Update app.py

app.py

@@ -107,10 +107,10 @@ if uploaded_file is not None:
 
     input_text =sentance
     print(input_text)
-    """inputs = tokenizer(text,padding = True, truncation = True, return_tensors='pt').to('cpu')
-    outputs = model_2(**inputs)
-    predictions = torch.nn.functional.softmax(outputs.logits, dim=-1)
-    predictions = predictions.cpu().detach().numpy()"""
+    #inputs = tokenizer(text,padding = True, truncation = True, return_tensors='pt').to('cpu')
+    #outputs = model_2(**inputs)
+    #predictions = torch.nn.functional.softmax(outputs.logits, dim=-1)
+    #predictions = predictions.cpu().detach().numpy()
     inputs = tokenizer(input_text, return_tensors="pt")
     outputs = model(**inputs)
     predictions = outputs.logits.softmax(dim=-1)