Update app.py

app.py

@@ -11,11 +11,11 @@ from HGTrainer import RobertaForValNovRegression, ValNovOutput
 def classify(model, premise, conclusion):
     model_path = "pheinisch/"
     if model == "model trained only with task-internal data":
-        model_path += "task-internal-model--750-wo-synthetic"
+        model_path += "ConclusionValidityNoveltyClassifier-Augmentation-in_750"
     elif model == "model trained with 1k task-external+synthetic data":
-        model_path += "task-external-model--1k-synthetic"
+        model_path += "ConclusionValidityNoveltyClassifier-Augmentation-ext_syn_1k"
     elif model == "model trained with 10k task-internal-external-synthetic data":
-        model_path += "task-internal-external-model--10k-synthetic"
+        model_path += "ConclusionValidityNoveltyClassifier-Augmentation-int_ext_syn_10k"
     elif model == "model trained with 750 task-internal-synthetic data":
         model_path += "ConclusionValidityNoveltyClassifier-Augmentation-in_syn_750"