Update app.py

app.py

@@ -61,7 +61,7 @@ def rmTrash(raw_string, remuser, remstop, remurls):
 
 def return_vec(text):
     text = rmTrash(text,True,True,True)
-  encodings = tokenizer.encode_plus(
+    encodings = tokenizer.encode_plus(
       text,
       None,
       add_special_tokens=True,
@@ -71,15 +71,15 @@ def return_vec(text):
       truncation=True,
       return_attention_mask=True,
       return_tensors='pt'
-  )
-  model.eval()
-  with torch.no_grad():
+    )
+    model.eval()
+    with torch.no_grad():
       input_ids = encodings['input_ids'].to(device, dtype=torch.long)
       attention_mask = encodings['attention_mask'].to(device, dtype=torch.long)
       token_type_ids = encodings['token_type_ids'].to(device, dtype=torch.long)
       output = model(input_ids, attention_mask, token_type_ids)
       final_output = torch.sigmoid(output).cpu().detach().numpy().tolist()
-  return list(final_output[0])
+    return list(final_output[0])
 
 
 def filter_threshold_lst(vector, threshold_list):