Update app.py

app.py

@@ -51,7 +51,7 @@ def predict(comment_sentence):
         print(outputs[0])
         #outputs = torch.from_numpy(outputs).float()
         fin_outputs.extend(torch.sigmoid(outputs[0]).detach().numpy().tolist())
-    print(fin_outputs)
+    print(fin_outputs[0])
     # Convert the outputs to boolean values based on the threshold
     outputs_boolean = np.array(fin_outputs[0]) >= 0.25