|
--- |
|
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](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=<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` |
