Latte๋ ๋ง์ด์ผ.. ๋ฐฅ์ฝํ๋ฉด ์๋ด๊ธฐ๊ฐ ์๋น ๋ค ์กฐ์ฌํด์ ์๋๋ฐ ๋ง์ด์ผ.. ํ๋๋ ์กฐ์ฌ๋ฅผ ์ํด์์ด?? ์์.. ๋ญ ๋จน๊ณ ์ถ์์ง ๋ฌธ์ฅ์ผ๋ก๋ง ์๊ธฐํด๋ด. AI๊ฐ ์ ์ผ ์ ํฉํ ๊ณณ์ผ๋ก ์ถ์ฒํด์ค๊ฒ!
This is a toy project for DevKor Mini-Web Hackathon ๐จโ๐ป.
๐จ I'm very bad at Web Development. So I focus on recommender system and my Streamlit did all of front-end.
My AI Model trained with a lot of reviews of restaurant near by Korea University.
When you give some query to my AI Model, it returns to you a list of restaurants you will love.
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Step1 : Data Crawling
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Step2 : Modeling
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Step3 : Inference with
server.py
.
$ streamlit run server.py
NUM_LABELS=100
IMAGE_PATH="./DataCrawling/data/image.json"
RESTAURANT_PATH="./DataCrawling/data/restaurant.json"
CKPT_PATH=****