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Copy sample files from streamlit/docs/python/api-examples-source/* (4e54057)
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import numpy as np
import requests
import streamlit as st
@st.cache_data
def read_file_from_url(url):
headers = {
"User-Agent": "StreamlitDocs/1.5.0 (https://docs.streamlit.io; hello@streamlit.io)"
}
return requests.get(url, headers=headers).content
file_bytes = read_file_from_url(
"https://upload.wikimedia.org/wikipedia/commons/c/c4/Muriel-Nguyen-Xuan-Chopin-valse-opus64-1.ogg"
)
st.audio(file_bytes, format="audio/ogg")
st.write(
"""
#### Audio credit:
Performer: _Muriel Nguyen Xuan_ and _Stéphane Magnenat_
Composer: Frédéric Chopin
License: Creative Commons Attribution-Share Alike 4.0 International, 3.0 Unported, 2.5 Generic, 2.0 Generic and 1.0 Generic license.
https://creativecommons.org/licenses/by-sa/4.0/
URL:
https://upload.wikimedia.org/wikipedia/commons/c/c4/Muriel-Nguyen-Xuan-Chopin-valse-opus64-1.ogg
"""
)
st.code(
"""
import streamlit as st
import numpy as np
sample_rate = 44100 # 44100 samples per second
seconds = 2 # Note duration of 2 seconds
frequency_la = 440 # Our played note will be 440 Hz
# Generate array with seconds*sample_rate steps, ranging between 0 and seconds
t = np.linspace(0, seconds, seconds * sample_rate, False)
# Generate a 440 Hz sine wave
note_la = np.sin(frequency_la * t * 2 * np.pi)
st.audio(note_la, sample_rate=sample_rate)
"""
)
sample_rate = 44100 # 44100 samples per second
seconds = 2 # Note duration of 2 seconds
frequency_la = 440 # Our played note will be 440 Hz
# Generate array with seconds*sample_rate steps, ranging between 0 and seconds
t = np.linspace(0, seconds, seconds * sample_rate, False)
# Generate a 440 Hz sine wave
note_la = np.sin(frequency_la * t * 2 * np.pi)
st.audio(note_la, sample_rate=sample_rate)