Update app.py

app.py

@@ -8,6 +8,8 @@ hf_writer = gr.HuggingFaceDatasetSaver(HF_TOKEN, "crowdsourced-speech-demo")
 iface = gr.Interface.load(
     "models/facebook/wav2vec2-base-960h",
     inputs="mic",
+    title="Crowdsourced Dataset for Speech to Text",
+    article="This demo uses facebook/wav2vec2-base-960h for a speech-to-text model. Any data that gets flagged is added to the crowdsourced `dataset` found here: [](). This Space is experimental, and please only flag data that you are comfortable adding to a public dataset!"
     flagging_callback=hf_writer)
 
 iface.launch()