Update app.py

app.py

@@ -1,4 +1,5 @@
 import gradio as gr
+from gradio import FlaggingCallback
 from gradio.components import IOComponent
 
 from typing import List, Optional, Any
@@ -27,8 +28,6 @@ class ArgillaLogger(FlaggingCallback):
             records=rg.TextClassificationRecord(text=text, prediction=prediction)
         )
 
-HF_TOKEN = os.getenv()
-hf_writer = gr.HuggingFaceDatasetSaver(HF_TOKEN,dataset_name="flagged_data")
 
 description = "Get sentiment if a comment is 'no cyber bullying' or 'cyber bullying'.The predicted outputs refer to 'cyber bullying' for racism and sexism comments and 'no cyber bullying' for others comments.please do flag if you feel that the required output isn't desired output "
 title = "Cyber Bullying Sentiment Classifier"