Takes in a Youtube Video Id returns a word cloud of the comment section. Gets data through Youtube Data v3 API

A new virtual environment is necessary for streamlit. You can use whatever virtual environment you prefer, I typically use venv

• First create a new directory: mkdir <dir_name>
• Create a new environment python3 -m venv <env_name>
• Activate the new environment source <env_name>/bin/activate

You will need to activate the virtual environment every time you quit the terminal or leave the virtual environment.

To tell whether your environment is active, the environment name should be visible in parentheses in the first line of your terminal command.

• With your active virtual environment, install streamlit with this command pip install streamlit
• You can test streamlit is working by running this command streamlit hello
• Full documentation of streamlit is here

• Visit here to enable the Youtube Data v3 API.
  • You need to have a project open, if you don't please create one
  • Search for YouTube Data API v3 in the searchbar at the top
  • Click Enable
  • Click Create Credentials
  • Under Which API are you using?, click YouTube Data API v3
  • Under Where will you be calling the API from Click Web Browser(JavaScript)
  • Under What data will you be accessing? click public data
  • Click What credentials do I need
  • Copy the API Key

• Go back to your home directory with the command cd ~
• To access your bash use this command nano .bash_profile
  • You do not need to use nano, vim works fine also
• In your bash add export YT_KEY="<youtube_key"
• Follow these commands to save the key to your bash
  • Control X
  • Type "yes" to save
  • Press enter

Assuming you have installed git and have github account, navigate to your directory

• Run git init to initialize a git repository
• On the github page for CommentCloud click the green button that says clone or download, -Make sure it says Clone with HTTPS -Copy the link
• Back in your terminal, while inside your repository run the command git clone <link>

Again make sure that your virtual environment is active, if not run the source <env_name>/bin/activate again

Install these dependencies within your virtual environment_name

• matplotlib: visualization and graphing pip install matplotlib
• Google API client pip install --upgrade google-api-python-client
• WordCloud pip install wordcloud

cd <dir_name>
source <env_name>/bin/activate //if virtual environment is inactive
cd CommentCloud
streamlit run StreamLitCommentClouds.py

##Final Notes
If you have any issues, specifically regarding the API Key, you can save the api key directly in StreamlitCommentClouds.py in the line:

api_key = os.environ.get('YT_KEY')

change it to

api_key = <api_key>

It's better practice to hide the key, but this will work. Make sure not to put an API Key in anything you upload to github!

This program pulls top comments and their replies and puts them into a word cloud using the YouTube Data v3 API.

The two main api methods used are

• commentThreads().list: This lists all the top comments to a video by YouTube ID
• comments().list: This lists all the replies based on the parentID of a comment.

This program is built from a python class I created called comment cloud, the comment responses are broken into individual words, then put into a word cloud generator.

Finally this code uses streamlit to create a simple web app where you can enter a youtube id and it will return a wordcloud of the responses