Update app.py

app.py

@@ -3,13 +3,13 @@ import gradio as gr
 
 HF_TOKEN = os.getenv('HF_TOKEN')
 
-hf_writer = gr.HuggingFaceDatasetSaver(HF_TOKEN, "crowdsourced-speech-demo")
+hf_writer = gr.HuggingFaceDatasetSaver(HF_TOKEN, "crowdsourced-speech-demo2")
 
 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: [https://huggingface.co/datasets/abidlabs/crowdsourced-speech-demo](https://huggingface.co/datasets/abidlabs/crowdsourced-speech-demo). This Space is experimental, and please only flag data that you are comfortable adding to a public dataset!",
+    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: [https://huggingface.co/datasets/abidlabs/crowdsourced-speech-demo2](https://huggingface.co/datasets/abidlabs/crowdsourced-speech-demo2). This Space is experimental, and please only flag data that you are comfortable adding to a public dataset!",
     allow_flagging="manual",
     flagging_callback=hf_writer)