Moody Player – Voice-Based Mood Detection and Music Player

Moody Player is an interactive voice-driven desktop assistant that engages users in a short conversation, detects their mood using sentiment analysis, and plays a relevant playlist via YouTube.

---

Features

• Voice interaction using speech recognition
• Detects user mood through sentiment analysis
• Plays a curated playlist from YouTube based on identified mood
• Randomized daily questions to avoid repetition
• Simple and lightweight GUI using Tkinter
• JSON-based playlist and question storage for easy updates

---

Setup Instructions

1. Clone the Repository

git clone https://github.com/yourusername/MoodyPlayer.git
cd MoodyPlayer

2. Create and Activate a Python Environment (optional)

conda create -n moodyplayer python=3.10
conda activate moodyplayer

3. Install Dependencies

pip install -r requirements.txt

If pyaudio fails to install, run:

pip install pipwin
pipwin install pyaudio

4. Run the Application

python MoodyPlayerGUI.py

---

Folder Structure

MoodyPlayer/
├── MoodyPlayerGUI.py
├── requirements.txt
├── README.md
└── data/
    ├── mood_playlists.json
    ├── question_bank.json
    └── used_questions.json  (auto-generated)

---

Customization

• You can expand or edit the mood_playlists.json file to include more songs per mood.
• Add or replace mood detection questions in question_bank.json.

---