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Deploy First Flask App on Heroku • ML model deployed • step by step • Application crashed
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In this video we have created an app on heroku and published on webpage. This is taken from previous project of flask which we created on ml model deployment.
This website is based iris flower classification model.
Steps:
1) sign up for github and heroku
3) create new repo
4) create new app in heroku and link that repo
That's it to create your new app on heroku
follow video for more clear understanding
timestamp
0:30 - setting up files
3:00 - sign-up on github and heroku
3:26 - create repo
4:14 - heroku app
6:05 - resolve application crash
-------------------------
web: gunicorn app:app
*****-----*****
gunicorn==20.0.4
Werkzeug==0.16.0
Jinja2==2.10.1
itsdangerous==1.1.0
MarkupSafe==1.1.1
*****--------******
LIKE + SHARE + SUBSCRIBE = support :)
contact me :
--------------********************************----------------------------------------------
my other project videos :
-----------------**************************-------------------------------------------------------
#herokuAPPdeployment #flask #mlmodel
related queries:
This website is based iris flower classification model.
Steps:
1) sign up for github and heroku
3) create new repo
4) create new app in heroku and link that repo
That's it to create your new app on heroku
follow video for more clear understanding
timestamp
0:30 - setting up files
3:00 - sign-up on github and heroku
3:26 - create repo
4:14 - heroku app
6:05 - resolve application crash
-------------------------
web: gunicorn app:app
*****-----*****
gunicorn==20.0.4
Werkzeug==0.16.0
Jinja2==2.10.1
itsdangerous==1.1.0
MarkupSafe==1.1.1
*****--------******
LIKE + SHARE + SUBSCRIBE = support :)
contact me :
--------------********************************----------------------------------------------
my other project videos :
-----------------**************************-------------------------------------------------------
#herokuAPPdeployment #flask #mlmodel
related queries:
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Deploy First Flask App on Heroku • ML model deployed • step by step • Application crashed
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