Smart Searcher 🔎

👧🏻 SHEHACK-2019 Hackathon Project 🛠️

Frontend : https://github.com/Nancy-Chauhan/smart-searcher-frontend

Presentation : https://docs.google.com/presentation/d/1bVIlv-9ic-HWjtiqAQ-IBYZ3UtWyLCeE0A58OAnCfqo/edit#slide=id.p1

Pre-requisites

1. Python 3.7 🐍
2. Pipenv

Getting Started

1. 🖥️ Launch pipenv shell to start-up a virtual environment
2. ⚡ Run pipenv install to install required dependencies

Data

1. All data is stored inside data sub-directory.
2. data/images should contain images with files 1000.jpg, 2000.jpg etc.
3. data/images.csv is supposed to be a listing of all images

Generating embeddings for image similarity

1. Run python -m smartsearcher.generate_embeddings data/images

Preparing the DB

1. Run ./sanitize.sh data/images.csv
2. Run python -m smartsearcher.generate_embeddings data/images.csv to load seed data into the app DB.

Starting the server

1. ⚡ Run ./server.sh dev to start a development server