Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
__pycache__		__pycache__
notebooks		notebooks
static		static
templates		templates
uploads		uploads
Procfile		Procfile
README.md		README.md
app.json		app.json
app.py		app.py
cat_to_name.json		cat_to_name.json
class_to_idx.json		class_to_idx.json
commons.py		commons.py
flower_classifier_small_2.pth		flower_classifier_small_2.pth
inference.py		inference.py
requirements.txt		requirements.txt
runtime.txt		runtime.txt

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flower_classifier

Deploying Udacity's Pytorch challenge final project for flower spices classification using Flask
A Demo can be found here: http://flowerclass.herokuapp.com/
I followed these tutorials:
https://heartbeat.fritz.ai/brilliant-beginners-guide-to-model-deployment-133e158f6717
https://www.youtube.com/watch?v=eI8m0-NWCys&t=109s

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Deploying Udacity's Pytorch challenge final project for flower spices classification using Flask

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