p

app.py

@@ -28,6 +28,9 @@ def askcpv(description):
     # turn predicted id's into actual label names
     # predicted_labels = [id2label[idx] for idx, label in enumerate(predictions) if label == 1.0]
     # return predicted_labels
+    print("probs: ", probs)
+    print("values: ", values)
+    print("indices: ", indices)
     print({i: v.item() for i, v in zip(indices, values)})
     return {cpv[i]: v.item() for i, v in zip(indices, values)}