import requests
from IPython.display import Image
url = "https://github.com/Octoframes/jupyter_capture_output/blob/main/assets/cute_dog.jpg?raw=true"
response = requests.get(url)
Image(response.content , embed=True, width=400)

import requests
from pathlib import Path

url = 'https://github.com/Octoframes/jupyter_capture_output/blob/main/assets/dog_with_water.mp4?raw=true'
p = Path.home() /'Downloads/dog_with_water.mp4'
p.write_bytes(requests.get(url).content);

p = Path.home() /'Downloads/dog_with_water.mp4'
from IPython.display import Video
Video(p, embed=True, width=600)

import requests
from IPython.display import Image

url = "https://media.giphy.com/media/KAq5w47R9rmTuvWOWa/giphy.gif"
response = requests.get(url)
Image(response.content , embed=True, width=100)

from IPython.display import SVG

url = "https://openmoji.org/data/color/svg/1F9F9.svg"
response = requests.get(url)
SVG(response.content)

import numpy as np
import pandas as pd
weather_df = pd.DataFrame(np.random.rand(10,2)*5,
                          index=pd.date_range(start="2021-01-01", periods=10),
                          columns=["Tokyo", "Beijing"])

def rain_condition(v):
    if v < 1.75:
        return "Dry"
    elif v < 2.75:
        return "Rain"
    return "Heavy Rain"

def make_pretty(styler):
    styler.set_caption("Weather Conditions")
    styler.format(rain_condition)
    styler.format_index(lambda v: v.strftime("%A"))
    styler.background_gradient(axis=None, vmin=1, vmax=5, cmap="YlGnBu")
    return styler

weather_df

# twitter class

import requests

class Tweet(object):
    def __init__(self, s, embed_str=False):
        if not embed_str:
            # Use Twitter's oEmbed API
            # https://dev.twitter.com/web/embedded-tweets
            api = 'https://publish.twitter.com/oembed?url={}'.format(s)
            response = requests.get(api)
            self.text = response.json()["html"]
        else:
            self.text = s

    def _repr_html_(self):
        return self.text

Tweet("https://twitter.com/MystMarkdown/status/1663126818302435332")

# #| label: my-compare_view

# from PIL import Image
# import requests
# import matplotlib.pyplot as plt
# import numpy as np
# from jupyter_compare_view import compare

# image = Image.open(requests.get("https://raw.githubusercontent.com/scikit-image/scikit-image/main/skimage/data/chelsea.png", stream=True).raw)
# image = np.uint8(image)
# image_grey = image[:,:,0]

# compare(image, image_grey, add_controls=False, start_mode="horizontal", start_slider_pos= 0.23, cmap="gray")