metadata

title: FairytaleDJ
emoji: 🔮
colorFrom: indigo
colorTo: purple
sdk: streamlit
sdk_version: 1.19.0
app_file: app.py
pinned: false

FairytaleDJ 🎵🏰🔮

The app is on hugging face spaces 🤗

This app takes a user input and suggestes songs that matches its emotions/vibes.

Made with DeepLake 🚀 and LangChain 🦜⛓️

We also used upstash 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 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. 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

python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

You 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