GitHub - Bill-Nye-TheGuy/Capstone-Docker

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 17 Commits
__pycache__		__pycache__
.gitattributes		.gitattributes
AccentCounts.png		AccentCounts.png
DL.h5		DL.h5
Dockerfile		Dockerfile
EndToEndRefactor.py		EndToEndRefactor.py
ExampleWAV.PNG		ExampleWAV.PNG
KDEPlot.png		KDEPlot.png
KDEPlotOtherFeatures.png		KDEPlotOtherFeatures.png
LabelEncoder.jblb		LabelEncoder.jblb
MFCCExample.jpeg		MFCCExample.jpeg
MLAccentRecognizer.py		MLAccentRecognizer.py
README.txt		README.txt
ReducedAccents.png		ReducedAccents.png
TFEncoder.jblb		TFEncoder.jblb
TFScaler.jblb		TFScaler.jblb
XGBTuned.jblb		XGBTuned.jblb
XGBoost.png		XGBoost.png
app.yaml		app.yaml
autosklearnensemble.png		autosklearnensemble.png
requirements.txt		requirements.txt
tf.png		tf.png

Repository files navigation

This repository contains the necessary files to recreate the Accent Identifying GCR website.

Necessary downloads:
	Google Cloud SDK
	Python and libraries in requirements.txt (optional)

Steps to rebuild:
	1.Clone the repository.
	2.Create free account on Google Cloud and setup a new project with all defaults.
	3.Install Google Cloud SDK
	4.Run 'gcloud init'
		1. Select your project
		2. Determine your server location
	5.CD into folder containing the cloned repository
	6.Run "gcloud run deploy"
	7.No options are neccesary, just hit enter.
		1. Must enable the API!!
	8.Wait for the deploy to finish it will output the URL to navigate to the website.
Optional:
	Use your favorite python editor to alter or test the website.
	To run the website locally, CD into the repository and use CMD to input "streamlit run MLAccentRecognizer.py"