Update app.py

app.py

@@ -70,7 +70,8 @@ for _, batch in enumerate(features_dict["document"]['test']):
     prediction =torch.max(classifier_output.logits, axis=1)
     predictions.append(prediction.indices.item())
 
-pd.DataFrame({"original_predictions":predictions}).to_csv("eacl_slavic.tsv")
+print("p:", predictions)
+    # pd.DataFrame({"original_predictions":predictions}).to_csv("eacl_slavic.tsv")
 
 
 trainer = MultitaskTrainer(