--- title: Play My Emotions emoji: 🎵 colorFrom: '#FF5733' colorTo: '#FFC300' sdk: docker sdk_version: 1.0.0 app_file: app.py pinned: false --- # Play My Emotions 🎵🏰🔮 ![Live Demo](PlayMyEmotions.jpeg) 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 ``` You will need the following `.env` file: ``` OPENAI_API_KEY= ACTIVELOOP_TOKEN= ACTIVELOOP_ORG_ID=zuppif UPSTASH_URL= UPSTASH_PASSWORD= ``` If you don't want to use upstash set the `USE_STORAGE=False` Then ``` streamlit run app.py ``` Then navitage to `http://192.168.1.181:8501`