README.md

metadata

title: Style Master
emoji: 😻
colorFrom: indigo
colorTo: purple
sdk: gradio
sdk_version: 4.44.1
app_file: app.py
pinned: false
license: unlicense

This project uses OpenAI large language models (LLMs) to create the recommendation engine for an e-commerce clothing store.

Running Locally

1. Install packages

make install

2. Set up your environment variables

cp .env.example .env

• Update the environment variables in .env, e.g., OPENAI_API_KEY, according to your needs.

3. (optional) Process garment images

This step is needed only when you have changed the garment images and/or manifest info.

make process

• if GARMENTS_FILE_PATH doesn't exist, the script will call GPT-4 Vision API to generate metadata for garment images stored in GARMENT_MANIFEST_FILE_PATH folder. A new file GARMENTS_FILE_PATH will be created.

• if GARMENTS_FILE_PATH already exists, the script will NOT call GPT-4 Vision API. The file GARMENTS_FILE_PATH will be updated with the latest data from GARMENT_MANIFEST_FILE_PATH file.

4. Run automated test cases

make test

5. Run Gradio web app

make start