app.py

import streamlit as st


from st_clickable_images import clickable_images
clicked = clickable_images(
    [
        "https://images.unsplash.com/photo-1565130838609-c3a86655db61?w=700",
        "https://images.unsplash.com/photo-1565372195458-9de0b320ef04?w=700",
        "https://images.unsplash.com/photo-1582550945154-66ea8fff25e1?w=700",
        "https://images.unsplash.com/photo-1591797442444-039f23ddcc14?w=700",
        "https://images.unsplash.com/photo-1518727818782-ed5341dbd476?w=700",
    ],
    titles=[f"Image #{str(i)}" for i in range(5)],
    div_style={"display": "flex", "justify-content": "center", "flex-wrap": "wrap"},
    img_style={"margin": "5px", "height": "200px"},
)
st.markdown(f"Image #{clicked} clicked" if clicked > -1 else "No image clicked")



from streamlit_pills import pills
selected = pills("Label", ["Option 1", "Option 2", "Option 3"], ["🍀", "🎈", "🌈"])
st.write(selected)



st.markdown("![Alt Text](https://media.giphy.com/media/og52So0BUmZVe/giphy.gif)")



import numpy as np
from array2gif import write_gif

dataset = [
    np.array([
        [[255, 0, 0], [255, 0, 0]],  # red intensities
        [[0, 255, 0], [0, 255, 0]],  # green intensities
        [[0, 0, 255], [0, 0, 255]]   # blue intensities
    ]),
    np.array([
        [[0, 0, 255], [0, 0, 255]],
        [[0, 255, 0], [0, 255, 0]],
        [[255, 0, 0], [255, 0, 0]]
    ])
]
write_gif(dataset, 'rgbbgr.gif', fps=5)

# or for just a still GIF
write_gif(dataset[0], 'rgb.gif')