Add application file

app.py

@@ -26,20 +26,11 @@ features = Features({
 })
 
 def load_data():
-    try:
-        dataset = load_dataset(DATASET_NAME, token=HF_TOKEN)['train']
-    except:
-        # Create empty dataset if not found
-        dataset = Dataset.from_dict({
-            'comment_id': [],
-            'generated_text': [],
-            'manual_annotation': []
-        }, features=features)
-    
+    dataset = load_dataset(DATASET_NAME, token=HF_TOKEN)['train']
     df = dataset.to_pandas().set_index('comment_id', drop=False)
     
     # Find unannotated comments using index
-    unannotated = df[df['manual_annotation'].isna()].index.tolist()
+    unannotated = df[df['manual_annotation'] == ""].index.tolist()
     
     return {
         "original_dataset": dataset,