Update app.py

app.py

@@ -20,7 +20,7 @@ def classify(model, premise, conclusion):
     elif model == "model trained with 750 task-internal-synthetic data":
         model_path += "synthetic-task-internal-model--751-CW-synthetic"
 
-    hg_model: RobertaForValNovRegression = RobertaForValNovRegression.from_pretrained(str(model.absolute()))
+    hg_model: RobertaForValNovRegression = RobertaForValNovRegression.from_pretrained(model_path)
     hg_model.loss = "ignore"
     hg_tokenizer: transformers.RobertaTokenizer = \
         transformers.AutoTokenizer.from_pretrained("{}-base".format(hg_model.config.model_type))