Update app.py

app.py

@@ -4,8 +4,8 @@ import gradio as gr
 import re
 import numpy as np
 
-#HF_TOKEN = os.getenv('HW_TOKEN')
-#hf_writer = gr.HuggingFaceDatasetSaver(HF_TOKEN, "save_audio")
+HF_TOKEN = os.getenv('HW_TOKEN')
+hf_writer = gr.HuggingFaceDatasetSaver(HF_TOKEN, "save_audio")
 
 def sepia(input_img, strength):
     sepia_filter = strength * np.array(
@@ -15,7 +15,7 @@ def sepia(input_img, strength):
     sepia_img /= sepia_img.max()
     return sepia_img
 
-callback = gr.CSVLogger()
+callback = hf_writer
 
 with gr.Blocks() as demo:
     with gr.Row():