app.py

# import module
import streamlit as st

import datasets

import pandas as pd

access_token=""
dataset=""
split=""
skip=0

column_with_audio="audio_transcription"
column_with_english_text="en"
column_with_other_text="transcription"

def load():
    ds = datasets.load_dataset(dataset, token=access_token, split=datasets.ReadInstruction("test",from_=skip,to=skip+50))
    for example in ds:
        df=pd.DataFrame([example[column_with_other_text],example[column_with_english_text]])
        st.table(df.values)
        st.audio(example[column_with_audio]["array"],sample_rate=example[column_with_audio]["sampling_rate"])

# Title
st.title("One Talk dataset explorer")

access_token = st.text_input("Access token", value="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", max_chars=None, key=None, type="default")
dataset = st.text_input("Dataset", value="nlewins/onetalk_questions_full_audio", max_chars=None, key=None, type="default")
split = st.text_input("Split", value="test", max_chars=None, key=None, type="default")
skip = st.number_input("Skip", value=50)

st.button("Go",on_click=load)

st.divider()

load()