/Songs-Recommendation-System

The System is used to take a song as an input from the given dataset and with the help of trained ML model it recommends top 10 songs that matches the same vibe.

Primary LanguageJupyter Notebook

Songs-Recommendation-System

The System is used to take a song as an input from the given dataset and with the help of trained ML model it recommends top 10 songs that matches the same vibe.
This project is deployed using streamlit (here) as well as integrated with frontend of the website built using html and css.


To view using streamlit

Clone this Repository

-> git clone https://github.com/anubhav1433/Songs-Recommendation-System

Install the dependencies

-> pip

Run the following command in terminal

-> streamlit run app.py

To view the html page

Clone this Repository

-> git clone https://github.com/anubhav1433/Songs-Recommendation-System

Install the dependencies

-> pip

Execution

-> Run the python page apps.py
-> Open your web browser by tapping the link http://localhost to view the website.
Kindly input your valuable suggestions by creating a pull request.
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