Update app.py

app.py

@@ -608,7 +608,7 @@ def compute_model_card_evaluation_results(tokenizer, model_checkpoint, raw_datas
     result = trainer.evaluate()
     return result
 
-
+"""
 
 def main():
     try:
@@ -622,6 +622,13 @@ def main():
     except Exception as e:
         logger.error(f"Error starting application: {e}")
         raise
+"""
+
 
 if __name__ == "__main__":
-    main()
+    model_checkpoint = model_checkpoint
+    raw_datasets = load_dataset(dataset_name, "mrpc")
+    metric = load("glue", "mrpc")
+    tokenizer = AutoTokenizer.from_pretrained(model_checkpoint)
+    output = compute_model_card_evaluation_results(tokenizer, model_checkpoint, raw_datasets, metric)
+    print(json.dumps(output))