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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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Before commit we need to install git-lfs first, because our model.pkl file is too big. Follow the link and the instructions to install it for your operating system. Now we are able to use git-lfs for our model.pkl:
# import libraries | imports will be available in all following cells as well from fastcore.all import * from fastai.vision.all import * import time import json def search_images(term, max_images=100): # define search_images function url = 'https://duckduckgo.com/' res = urlread(url,data={'q':term}) time.sleep(2) searchObj = re.search(r'vqd=([d-]+)&', res) requestUrl = url + 'i.js' # the duckduck go api url params = dict(l='us-en', o='json', q=term, vqd=searchObj.group(1), f=',,,', p='1', v7exp='a') headers = dict( referer='https://duckduckgo.com/' ) urls,data = set(),{'next':1} # loop through pages until we have enough images while len(urls)
To create the AI we will use fastai. This is a python library, which is build on top of pytorch. No worries, you don't need to know how to code python. We will learn how this stuff works along the way :)