Data-Res-Aview

Main branch has most updated backend functions. For most updated Dashboard please check DashboardOriented branch

Streamlit App

This is a Streamlit app that provides Youtube trend analysis for top channel, youtuber, and videos.

Installation and Setup

1. Clone the repository:

git clone https://github.com/samwong21/Data-Res-Aview.git

2. Navigate to the project directory:

cd [your-repo]

3. Install packages automatically managed by pipenv using pipenv:

pipenv install

4. Install other required dependencies using pip:

pip install -r [Whatever package is not installed when running streamlit run dashboard.py]

5. add a .env file to folder

In .env file, add

YOUTUBE_API_KEY = [YOUR API KEY HERE]

Usage

1. Run the Streamlit app:

streamlit run dashboard.py

2. If app does not pop up automatically, access the app in your web browser by opening the provided URL (usually http://localhost:8501).

Folder Structure

• dashboard.py: Main entry point of the Streamlit app.
• pages/ # Folder containing subpages
  • .py ... # Subpages end in .py

License

[TODO: Specify the license under which your project is distributed].

Contact

[TODO: Provide your contact information if users have any questions or feedback].