from streamlit import area_chart
from streamlit import bar_chart
from streamlit import line_chart

import streamlit as st
import pandas as pd
import numpy as np
import random

def share():
    st.write("""
    # Streamlit sharing is now available

    With Streamlit sharing, you can deploy your publicly hosted Github app
    with the press of one button all within your local environment. Simply
    hit `Deploy` from the menu options and share your app with the world.

    Learn more from our
    [blog post](http://blog.streamlit.io/introducing-streamlit-sharing/) or sign
    up [here](http://streamlit.io/sharing)!

    ----

    """)
    st.video("0.69/demos/share.mp4")

5d75a4b2cf74c94bb56c6a4b4dcd91e7853f83ec
<mask token>

<mask token>


def share():
    st.write(
        """
    # Streamlit sharing is now available

    With Streamlit sharing, you can deploy your publicly hosted Github app
    with the press of one button all within your local environment. Simply
    hit `Deploy` from the menu options and share your app with the world.

    Learn more from our
    [blog post](http://blog.streamlit.io/introducing-streamlit-sharing/) or sign
    up [here](http://streamlit.io/sharing)!

    ----

    """
        )
    st.video('0.69/demos/share.mp4')

from streamlit import area_chart
from streamlit import bar_chart
from streamlit import line_chart
import streamlit as st
import pandas as pd
import numpy as np
import random


def share():
    st.write(
        """
    # Streamlit sharing is now available

    With Streamlit sharing, you can deploy your publicly hosted Github app
    with the press of one button all within your local environment. Simply
    hit `Deploy` from the menu options and share your app with the world.

    Learn more from our
    [blog post](http://blog.streamlit.io/introducing-streamlit-sharing/) or sign
    up [here](http://streamlit.io/sharing)!

    ----

    """
        )
    st.video('0.69/demos/share.mp4')

from streamlit import area_chart
from streamlit import bar_chart
from streamlit import line_chart

import streamlit as st
import pandas as pd
import numpy as np
import random

def share():
    st.write("""
    # Streamlit sharing is now available

    With Streamlit sharing, you can deploy your publicly hosted Github app
    with the press of one button all within your local environment. Simply
    hit `Deploy` from the menu options and share your app with the world.

    Learn more from our
    [blog post](http://blog.streamlit.io/introducing-streamlit-sharing/) or sign
    up [here](http://streamlit.io/sharing)!

    ----

    """)
    st.video("0.69/demos/share.mp4")
