Streamlit component for transcribing audio.
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Project description
transcriptioner
A simple interactive tool to assist human transcribers. Using vite and wavesurfer. Demo file from BABEL dataset.
Implemented as a streamlit component.
Use transcriptioner
You may install transcriptioner (along with streamlit) using pip.
pip install transcriptioner
Here is a minimal example:
import streamlit as st
from transcriptioner import transcriptioner
st.subheader("Transcriptioner component (prefilled transcription)")
# A prefilled transcription
tscript = transcriptioner("./TEST1.mp3", "./TEST1.txt", height=512)
st.markdown("The current saved transcript is:")
st.markdown(tscript.replace("\n", "\n\n"))
st.subheader("Transcriptioner component (empty transcription)")
# An empty audiof ile
tscript = transcriptioner("./TEST1.mp3", height=512)
st.markdown("The current saved transcript is:")
st.markdown(tscript.replace("\n", "\n\n"))
You can then run this example with:
streamlit run example.py
(if you saved the example as example.py)
Working on
- dark mode support
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