metadata

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 🎵🏰🔮

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.

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:

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