Hello.py

import streamlit as st


st.set_page_config(
    page_title="Hello",
    page_icon="👋",
)

st.sidebar.success("Select a Page")

st.title('This is my super fancy app!')

st.header("This is a header")
st.subheader("This is a subheader")
st.markdown("""THis is markdwon,
I can **use markdown format** """)

st.header("layouts")

col1,col2 = st.columns(2)
col1.text("I am column 1")
col2.text("I am column 2")

st.header("Images")
# st.image("data:image/jpeg;base64,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")

#####################################

# st.markdown("""
# ## Step 1: Install what you need for this notebook

# It is recommended you install into a conda environment:

# ```
# conda create -n DataVizClass python=3.10
# conda activate DataVizClass
# ```

# Then you can install the correct packages.  

# ```
# pip install streamlit==1.39.0 altair numpy pandas matplotlib
# ```

# To work with the VSCode interface, be sure that `jupyter` is also installed:

# ```
# pip install jupyter
# ```
 
# Or you can install with `conda`.

# Note that the package [Streamlit](https://streamlit.io/) that we will be working with requires we use Python scripts, so JupyterLab and/or Jupyter Notebooks won't work for this process. """)

# st.markdown("""
# ## Step 2: Clone the App files -- Option 1 (HuggingFace)
            
# If you want to be able to deploy this app on HuggingFace, there are some extra steps required for setup (or skip to Option 2 for locally running things).
            
# ### Step 2.1: Set up a token to use with HuggingFace

# Next you will create an [access token for your HuggingFace account](https://huggingface.co/docs/hub/en/security-tokens). 

# **Step 2.1.1:** Navigate to the "Access Tokens" page from "Settings" under your username:
# """)

# st.image("images/accesskey_p1.png")

# st.markdown(""" 
# **Step 2.1.2:** Create a new finegrained token with read/write access to your personal repositories.

# First, click on the "Create new token" button on this page.  

# Then select a Finegrained token with read/write access to your personal repos:
# """)

# st.image("images/accesskey_p2.png")

# st.markdown("""
# **Step 2.1.3:** Generate the Token and *save it somewhere safe* 
# 1. Click on `Create Token` at the bottom of the current page
# 2. *Save the token string somewhere safe!* We will be using this token throughout this class.
# """)



# st.markdown("""
# ### Step 2.2: Duplicate the HuggingFace App
#  """)

# st.markdown("""
# If you want to be able to deploy your own app on your own HuggingFace account, 
# you first need to duplicate this space.            

# To duplicate, right click on the 3 dots to the left of your profile icon: """)

# st.image("images/duplicateSpace_p1.png")

# st.markdown("""
# Make sure your user name is selected, and it is set to `Public` for visibility.  Name the space whatever you want:
#  """)

# st.image("images/duplicateSpace_p2.png")

# st.markdown("""
# ### Step 2.3: Clone *your duplicated* Space
#  """)

# st.markdown("""
# First, be sure that `git-lfs` is installed, and then clone *your* duplicated space repo.
            
# You can find instructions for this by once again right-clicking the 3 dots and clicking on "Clone Repository":
#  """)

# st.image("images/clone_the_repo.png")

# st.markdown("""
# Then you will be given this set of instructions (note your repo name will be different!):
#  """)

# st.image("images/gitclone_hf.png")

# st.markdown("""
#  """)

# st.markdown("""
# Now you should have a repository folder on your local computer that has your repo name and the files for this app.
#  """)

# st.markdown("""
# ## Step 2: Clone the App files -- Option 2 (GitHub)
# """)

# st.markdown("""
# If you don't want to mess around with HuggingFace and just want to play around with Streamlit locally, 
# you can also download these files from GitHub by [cloning this repository right here](https://github.com/jnaiman/shadisClassApp).
            
# For info about using git commands to clone a repository, [see this link right here](https://docs.github.com/en/repositories/creating-and-managing-repositories/cloning-a-repository).
#  """)