Update app.py

app.py

@@ -85,7 +85,10 @@ output = gr.outputs.HTML(label="")
 
 description = (
     "This demo from Microsoft will compare two speech samples and determine if they are from the same speaker. "
-    "Try it with your own voice!"
+    "Try it with your own voice! If you find an incorrect prediction, you can click FLAG to save the recordings to a public dataset: "
+    "https://huggingface.co/datasets/abidlabs/voice-verification-adversarial-dataset, "
+    "consisting of samples on which the model makes mistakes, which may further improve research in this field. Disclaimer: this will "
+    "save the recordings to a PUBLIC dataset so please be careful about what you FLAG."
 )
 article = (
     "<p style='text-align: center'>"
@@ -99,11 +102,17 @@ examples = [
     ["samples/cate_blanch.mp3", "samples/kirsten_dunst.wav"],
 ]
 
+HF_TOKEN = os.getenv('HF_TOKEN')
+hf_saver = gr.HuggingFaceDatasetSaver(HF_TOKEN, "voice-verification-adversarial-dataset")
+gr.Interface.load("huggingface/t5-base", flagging_callback=hf_saver, description=description).launch()
+
+
 interface = gr.Interface(
     fn=similarity_fn,
     inputs=inputs,
     outputs=output,
     description=description,
+    title="Break this voice verification model!",
     layout="horizontal",
     theme="huggingface",
     allow_flagging=False,