You can easily add references, introductions, explanations, etc in the form of media files for your ML/data app seamlessly now.
Streamlit offers to easily upload your media files like images, audio, and videos or embed them from a website.
You can add images from your device or simply provide a URL to embed them in your workflow using
st.image()and PIL library of Python
import streamlit as st from PIL import Image st.write("## Image example:- ") img = Image.open("dogs.jpeg") st.image(img)
You may simply embed an image from a link using
#From URL st.write("## Image from URL example:- ") st.image("https://cdn.britannica.com/q:60/49/161649-050-3F458ECF/Bernese-mountain-dog-grass.jpg")
Uploading videos to your ML app is easy with Streamlit using function
st.video(). You may also specify a start time of the video using property
start_time (in seconds) from where the video must begin.
video_file = open("sample.mp4", "rb").read() st.video(video_file, start_time = 3)
There are 2 play buttons but one is inside the screen recording. Please click on the lower one to play the video.
You can also embed video from any free video-sharing website like YouTube using
You can showcase audio in your Streamlit app using
st.audio() and embed from a website using
Note that the URL from where you are embedding the audio from must contain a valid audio file extension like mp3, wav, etc.
st.write("## Audio file example") audio_file = open("audio-sample.mp3", "rb") st.audio(audio_file.read())