The playdoh package provides some applications that can be used easily by people who are not familiar with AI. This package offers the following features:
- Image Classification
- Sentiment Analysis
- Speech-to-Text
- Time Series Forecasting
The pretrained models required for using the Playdoh package are almost 1 GB in size, but we are not using the paid plan of git lfs. Please download the models from the link below and place them in the 'fastapi_backend/pretrained_model' folder.
Download models (Google Drive)
- Docker
- Visual Studio Code
- Python
- Streamlit
- FastAPI
- Pytorch
- Clone playdoh and open it in VS Code.
- Download pretrained models into
fastapi_backend/pretrained_modelfrom Google Drive - Build Docker images and run containers using Docker Compose with the following command:
docker-compose up -d - Once set up, navigate to
127.0.0.1:80orlocalhost:80in your browser. - If you make any modifications to the code, either on the frontend or backend, restart the respective container derived from the corresponding image.
Click the image below to view other tutorial videos.
- Dongryul Min @MinDongRyul
Copyright ©️ 2023 PHI This project is MIT licensed