This is a Song Listing Application that uses the LangChain OpenAI API and Streamlit to curate a list of songs based on user-specified emotions. It provides an easy way to discover and listen to songs that match different emotional states.

Before you can run this application, make sure you have the following prerequisites installed on your system:

• Python (version 3.7 or higher)
• pip (Python package manager)
• Git (optional, for cloning the repository)

1. Clone the GitHub repository:

   git clone https://github.com/PinsaraPerera/SongListingBaseOnEmotion_LangChain-Framework.git

2. Install the required Python packages using pip:

   pip install -r requirements.txt

You need to obtain an API key for the LangChain OpenAI API :

OPENAI_API_KEY=your_api_key_here

Replace your_api_key_here with your actual API key.

To run the application, use the following command:

streamlit run app.py

This will start the application locally. Open a web browser and navigate to the URL provided by Streamlit (usually http://localhost:8501) to access the application.

1. Launch the application as described in the previous section.
2. Select an emotion from the dropdown menu.
3. Click on any listed emotion to generate a list of songs that match the selected emotion.
4. Enjoy listening to the recommended songs!

If you'd like to contribute to this project, please fork the repository and create a pull request with your changes. We welcome improvements and bug fixes.

This project is licensed under the MIT License.

If you have any questions or need further assistance, feel free to contact the project maintainer:

• Pawan Perera
• Email: [email protected]

• This application uses the LangChain OpenAI API to analyze emotions in song lyrics.
• Streamlit was used to create the user interface for this application.