The app is on Hugging Face Spaces 🤗
This app takes a user input and suggests songs that match its emotions/vibes.
Made with DeepLake 🚀 and LangChain 🦜⛓️
We also used Upstash to store user inputs/emotions and recommended songs.
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.
Clone this repo.
Create a venv:
python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txtYou will need the following .env file:
OPENAI_API_KEY=<OPENAI_API_KEY>
ACTIVELOOP_TOKEN=<ACTIVELOOP_TOKEN>
ACTIVELOOP_ORG_ID=zuppif
UPSTASH_URL=<UPSTASH_URL>
UPSTASH_PASSWORD=<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