crowd-speech / app.py
abidlabs's picture
abidlabs
HF staff
Update app.py
f11df80
import os
import gradio as gr
HF_TOKEN = os.getenv('HF_TOKEN')
hf_writer = gr.HuggingFaceDatasetSaver(HF_TOKEN, "crowdsourced-speech-demo2")
iface = gr.Interface(
lambda x:"Test",
inputs="mic",
outputs="textbox",
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-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)
iface.launch()