🎶 Song-Based Recommendation App

A web application that provides song recommendations based on user input, using the Groq API for mood and genre analysis. Enter a song name, and the app will suggest similar songs, detailing each song's mood and genre.

🚀 Features

• Enter a song name to get recommendations.
• Shows mood and genre analysis of the input song.
• Provides a list of similar songs with detailed descriptions.
• Built using Streamlit for an interactive UI.

🛠 Future Enhancements

• Integrate Chain of Thought (CoT) prompting for better recommendation accuracy.

🧠 Model

• Works on the Llama 3.2-90b text preview model for generating recommendations.

💻 Installation

1. Clone the repository:

   git clone https://github.com/your-username/song-rec-app.git

2. Install required packages:

   pip install -r requirements.txt

3. Set up your Groq API key in the environment variables.

🧩 Usage

1. Run the app:

   streamlit run app.py

2. Open the app in your browser and enter a song name to get recommendations.

📚 How It Works

• The app takes a song name as input and uses Groq’s API to analyze the song.
• It identifies mood and genre and fetches 10 similar song recommendations based on these attributes.

🛠️ Tech Stack

• Python
• Streamlit - For the user interface
• Groq API - For song analysis and recommendation generation

🤝 Contributing

Contributions are welcome! Feel free to submit issues or pull requests.