Create app.py

app.py

@@ -0,0 +1,39 @@
+
+
+# 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()
+