anikchowdhury1 / youtube_data_api_analysis_flask Goto Github PK

Clone the repo to your local machine by running the command:

git clone https://github.com/nikitow1/Youtube_DATA_API_Analysis_flask.git 

You must have python installed in your machine. After that, go into the folder with the project and create a virtual environment with the following command:

python3 -m venv venv

Active the respective environment by running:

. venv/bin/activate

Note: It might be important to specify the environment you are considering when running this code in your IDE.

Install the project's dependencies with the following command.

pip install -r requirements.txt

Before running the application set the Flask environment variables:

export FLASK_APP=main.py
export FLASK_ENV=development

Run Flask... RUN!!

flask run

For database run:

python3 csv_to_db.py 

Sqlite3 is used as database for simplicity.

Initially all the scraping and view tracking were done in ipynb file because of colab's speed.

http://localhost:5000/api/v1

Filter the video by 'Very Good'/ 'Good'/ 'Average'/ 'Below Average'/ 'Bad'

Notebook file is in that directory