fix: Don't specify torch.compile backend for model

app.py

@@ -3,8 +3,9 @@
 from typing import Dict, Tuple
 import gradio as gr
 from gradio.components import Dropdown, Textbox, Button, Label, Markdown
-from gradio import Row, Column
 from types import MethodType
+from gradio.layouts.column import Column
+from gradio.layouts.row import Row
 from transformers import pipeline, AutoModelForSequenceClassification, AutoTokenizer
 from luga import language as detect_language
 import torch
@@ -22,7 +23,7 @@ def main():
     model_id = "alexandrainst/scandi-nli-large"
     model = AutoModelForSequenceClassification.from_pretrained(model_id)
     tokenizer = AutoTokenizer.from_pretrained(model_id)
-    model = torch.compile(model=model, backend="aot_eager")
+    model = torch.compile(model=model)
     model.eval()
     classifier = pipeline("zero-shot-classification", model=model, tokenizer=tokenizer)
     classifier.get_inference_context = MethodType(