/spotify-with-langchain

Langchain implementation to query the Spotify API and ask questions

Primary LanguageJupyter Notebook

Spotify with Langchain

Introduction

Welcome to the Spotify with Langchain project! This Jupyter notebook-based application leverages the power of the Spotify Web API and Spotipy SDK to respond to natural language inputs. By integrating Langchain's advanced PALChain (Program-Aided Language) prompting technology, this project offers an intuitive way to interact with Spotify's vast music database. The project features a Gradio chat interface, providing a seamless user experience for querying and receiving information in natural language.

Features

  • Natural Language Processing: Interact with Spotify using everyday language.
  • Spotipy SDK Integration: Access Spotify's comprehensive API for detailed data retrieval.
  • PALChain Technology: Leverage advanced language model prompting for accurate responses.
  • Gradio Chat Interface: Enjoy an interactive, user-friendly chat interface for queries.
  • Environment-Friendly Setup: Easy setup with environment variable management.

Setup Instructions

Prerequisites

  • Python 3.6 or higher
  • Jupyter Notebook
  • Basic knowledge of Python and Jupyter environments

Installation Steps

  1. Clone the Repository

    git clone [repository URL]
cd [repository name]

  2. Create Environment File

    • In the repository's root folder, create a .env file and include the following keys: 
      OPENAI_API_KEY=sk-redacted
SPOTIFY_CLIENT_ID=redacted
SPOTIFY_CLIENT_SECRET=redacted
PINECONE_API_KEY=redacted
PINECONE_ENVIRONMENT=gcp-starter
    • Replace redacted with your actual API keys.

  3. Set Up Virtual Environment (Optional)

    • It's recommended to create a virtual environment to avoid conflicts with existing Python packages. 
      python -m venv .venv
source .venv/bin/activate  # On Windows, use `.venv\Scripts\activate`

  4. Open and Configure Jupyter Notebook

    • Launch Jupyter Notebook: 
      jupyter notebook
    • Open main.ipynb.
    • Replace reload_ext with load only for the first time you run this notebook.

Usage

  1. Run the Notebook

    • Execute the cells in main.ipynb as needed.
    • Interact with the Gradio chat interface to send queries and receive responses.

  2. Query Examples

    • Ask for song recommendations based on genre, mood, or artist.
    • Retrieve song details or artist information.
    • Explore playlists or albums.

Acknowledgments