First of all, ensure that the following requirements already installed on your system.
absl-py==1.0.0
astunparse==1.6.3
cachetools==4.2.4
certifi==2021.10.8
charset-normalizer==2.0.9
click==8.0.3
colorama==0.4.4
Flask==2.0.2
flatbuffers==2.0
gast==0.4.0
google-auth==2.3.3
google-auth-oauthlib==0.4.6
google-pasta==0.2.0
grpcio==1.43.0
gunicorn==18.0.0
h5py==3.6.0
idna==3.3
importlib-metadata==4.9.0
itsdangerous==2.0.1
Jinja2==3.0.3
keras==2.7.0
Keras-Preprocessing==1.1.2
libclang==12.0.0
Markdown==3.3.6
MarkupSafe==2.0.1
numpy==1.21.2
oauthlib==3.1.1
opt-einsum==3.3.0
pillow==7.1.2
protobuf==3.19.1
pyasn1==0.4.8
pyasn1-modules==0.2.8
requests==2.26.0
requests-oauthlib==1.3.0
rsa==4.8
six==1.16.0
tensorboard==2.7.0
tensorboard-data-server==0.6.1
tensorboard-plugin-wit==1.8.0
tensorflow-cpu==2.7.0
tensorflow-estimator==2.7.0
tensorflow-io-gcs-filesystem==0.23.1
termcolor==1.1.0
typing_extensions==4.0.1
urllib3==1.26.7
Werkzeug==2.0.2
wincertstore==0.2
wrapt==1.13.3
zipp==3.6.0
This project can be run locally, by use the following command :-
python app.py
If it doesn't, the local URL would be output in the terminal, just copy it and open it in the browser manually.
By default, it would be http://127.0.0.1:5000/.
It also deployed onlinely on Heroku, via this Link
After that, the webpage should open in the browser automatically.
Click on Mari Coba then Upload Image and choose an image from your lcoal to upload.
Once uploaded, click Predict, then the web-app shall perform result and the output will be displayed.
- https://www.tensorflow.org/tutorials/images/classification
- https://docs.streamlit.io/en/stable/
- https://devcenter.heroku.com/
- Rizky Adhi Nugroho - RizkyAdhiNugroho
- Fadilla Rizalul Yahya - fadillarizalul