| # Play My Emotions 🎵🏰🔮 | |
|  | |
| The app is on [Hugging Face Spaces](https://huggingface.co/spaces/DjPapzin/PlayMyEmotions) 🤗 | |
| This app takes a user input and suggests songs that match its emotions/vibes. | |
| Made with [DeepLake](https://www.deeplake.ai/) 🚀 and [LangChain](https://python.langchain.com/en/latest/index.html) 🦜⛓️ | |
| We also used [Upstash](https://upstash.com/) to store user inputs/emotions and recommended songs. | |
| ## How it works | |
| The application follows a sequence of steps to deliver Disney songs matching the user's emotions: | |
| - **User Input**: The application starts by collecting the user's emotional state through a text input. | |
| - **Emotion Encoding**: The user-provided emotions are then fed to a Language Model (LLM). The LLM interprets and encodes these emotions. | |
| - **Similarity Search**: These encoded emotions are utilized to perform a similarity search within our [vector database](Deep Lake Vector Store in LangChain). This database houses Disney songs, each represented as emotional embeddings. | |
| - **Song Selection**: From the pool of top matching songs, the application randomly selects one. The selection is weighted, giving preference to songs with higher similarity scores. | |
| - **Song Retrieval**: The selected song's embedded player is displayed on the webpage for the user. Additionally, the LLM-interpreted emotional state associated with the chosen song is displayed. | |
| ## Run it | |
| Clone this repo. | |
| Create a `venv`: | |
| ```bash | |
| python -m venv .venv | |
| source .venv/bin/activate | |
| pip install -r requirements.txt | |