From d199999ec5ccc1b0670e4626c28384a8522eac8a Mon Sep 17 00:00:00 2001 From: rawanmahdi Date: Sat, 30 Mar 2024 10:09:15 -0400 Subject: [PATCH 1/9] new pages --- frontend/package-lock.json | 1803 ++- frontend/package.json | 1 + frontend/public/AutoMate_logo.png | Bin 136415 -> 65308 bytes frontend/public/README.md | 10 + frontend/public/automate_usage_example.html | 13365 ++++++++++++++++++ frontend/public/excal_architecture.png | Bin 0 -> 1244478 bytes frontend/src/components/NavigationBar.js | 4 +- frontend/src/pages/About-Us.js | 94 + frontend/src/pages/How-to-Use-Your-Model.js | 66 + frontend/src/pages/index.js | 4 +- 10 files changed, 15326 insertions(+), 21 deletions(-) create mode 100644 frontend/public/README.md create mode 100644 frontend/public/automate_usage_example.html create mode 100644 frontend/public/excal_architecture.png create mode 100644 frontend/src/pages/About-Us.js create mode 100644 frontend/src/pages/How-to-Use-Your-Model.js diff --git 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/dev/null +++ b/frontend/public/README.md @@ -0,0 +1,10 @@ +# The AutoMate-ML Techstack + + +![Google Cloud](https://img.shields.io/badge/GoogleCloud-%234285F4.svg?style=for-the-badge&logo=google-cloud&logoColor=white) ![Kubernetes](https://img.shields.io/badge/kubernetes-%23326ce5.svg?style=for-the-badge&logo=kubernetes&logoColor=white) ![Terraform](https://img.shields.io/badge/terraform-%235835CC.svg?style=for-the-badge&logo=terraform&logoColor=white) ![Docker](https://img.shields.io/badge/docker-%230db7ed.svg?style=for-the-badge&logo=docker&logoColor=white) ![GitHub Actions](https://img.shields.io/badge/github%20actions-%232671E5.svg?style=for-the-badge&logo=githubactions&logoColor=white) + +![Python](https://img.shields.io/badge/python-3670A0?style=for-the-badge&logo=python&logoColor=ffdd54) ![TensorFlow](https://img.shields.io/badge/TensorFlow-%23FF6F00.svg?style=for-the-badge&logo=TensorFlow&logoColor=white) + +![Figma](https://img.shields.io/badge/figma-%23F24E1E.svg?style=for-the-badge&logo=figma&logoColor=white) ![React](https://img.shields.io/badge/react-%2320232a.svg?style=for-the-badge&logo=react&logoColor=%2361DAFB) ![Next JS](https://img.shields.io/badge/Next-black?style=for-the-badge&logo=next.js&logoColor=white) ![FastAPI](https://img.shields.io/badge/FastAPI-005571?style=for-the-badge&logo=fastapi) + +## The AutoMate Architecture \ No newline at end of file diff --git a/frontend/public/automate_usage_example.html b/frontend/public/automate_usage_example.html new file mode 100644 index 0000000..d6ee5e5 --- /dev/null +++ b/frontend/public/automate_usage_example.html @@ -0,0 +1,13365 @@ + + + + +automate_usage_example + + + + + + + + + + + + + + + + + + + + + + + +
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+
In [13]:
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# import required modules
+from pycaret.classification import load_model
+from pycaret.classification import *
+import pycaret
+import pandas as pd
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In [15]:
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# load dataset and setup for prediction
+df = pd.read_csv("/content/gdrive/My Drive/automate/data.csv")
+exp_name = setup(data=df, target='Species')
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 DescriptionValue
0Session id1556
1TargetSpecies
2Target typeMulticlass
3Target mappingBream: 0, Parkki: 1, Perch: 2, Pike: 3, Roach: 4, Smelt: 5, Whitefish: 6
4Original data shape(159, 7)
5Transformed data shape(159, 7)
6Transformed train set shape(111, 7)
7Transformed test set shape(48, 7)
8Numeric features6
9PreprocessTrue
10Imputation typesimple
11Numeric imputationmean
12Categorical imputationmode
13Fold GeneratorStratifiedKFold
14Fold Number10
15CPU Jobs-1
16Use GPUFalse
17Log ExperimentFalse
18Experiment Nameclf-default-name
19USI68d7
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In [16]:
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# load model and predict!
+saved_lr = load_model("/content/gdrive/My Drive/automate/best_model")
+modelpredict = predict_model(saved_lr)
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+
Transformation Pipeline and Model Successfully Loaded
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 ModelAccuracyAUCRecallPrec.F1KappaMCC
0Linear Discriminant Analysis0.97920.99930.97920.98330.98000.97360.9741
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+ + + + + + diff --git a/frontend/public/excal_architecture.png b/frontend/public/excal_architecture.png new file mode 100644 index 0000000000000000000000000000000000000000..4c741978e062c8007dfb8513897ae4230c358774 GIT binary patch literal 1244478 zcmeFacUV+ex;<8gMb9df@BIL78#TzIZ2L^ zb5UfdqWB$p?)|3c-lFF^&CEYv_w)4AHd1x=e#2VpeRnv4N(xdpu9055bm`I!8ENrn zmo5?0U%GVd`0B5~Pd2@)k-&d`ae5~8abZ7q$B87F{>Lho?{&TQ@)TTpQt^^|%n)??M0 zd}`{v0_duzDP;%qf8!rS2XJWRr$7FR{qKFu-)3_4%RB|fzkN!;v-ob_luLen z&nn_SV8NG$jy?Z@$6Ny6y?T|t=gYe?>3?H5{P#peA5@zE2OjfM6c-aSYRT}MHtoMN z$p33rRB;oW|AEJdQeDA#)#miTg!R_HHFf_stDAD0cm4y9p?Y`umoM{tB*jGk38c76 ze{lUj0Z8A#FAcZvUe^l#cf;(NuP~#$e*HJ2`EMaHFDm-L1NUvd#D4;5U$qHc{!bXs zk%}r#@QTaJ0HTAFC?r(AXS2gt~^z~oW)SnP8zcnWQs;2%#f99`h>Q4xlv&O_PS086 zLIz>jWD~76&A%e?(X{a51i>5lMK)BWf*r*W{GvxPk>G}H7ks#Mj42+2%=U{&+VJb% zlf%OY-}*CTVJS7+6I|**KgKw^B>bF|UH>SW@$4v_OFq_2tDLr@*c9JEQ@qn_))-F_ znsm-*&kl;^h#Xy*DUvmR2JI%ckU16^Y43OgbIcnemHinRp zP=+?7yi~uCU4CG9nWY28OTC}`CQt7%dRP2BHKyWYGT}RDMAEtuUGo#*wi$C?a%d%o 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w|0%=&GY$Wz4F9JL*Rf&$CtW{5y5=|3J1@HBbev)Q1^%5El{^!DO5>0J2XiAj8UO$Q literal 0 HcmV?d00001 diff --git a/frontend/src/components/NavigationBar.js b/frontend/src/components/NavigationBar.js index c374f86..ff6f865 100644 --- a/frontend/src/components/NavigationBar.js +++ b/frontend/src/components/NavigationBar.js @@ -13,7 +13,7 @@ import Image from "next/image"; import Link from "next/link"; import "@fontsource/public-sans"; -const pages = ["GitHub", "About Us", "GDSC"]; +const pages = ["GitHub", "About Us", "How to Use Your Model"]; const NavigationBar = () => { const [anchorElNav, setAnchorElNav] = React.useState(null); @@ -125,7 +125,7 @@ const NavigationBar = () => { key={page} style={{ fontFamily: 'Public Sans, sans-serif', fontSize: 16 }} LinkComponent={Link} - href={page.replace(" ", "-")} + href={page.replaceAll(" ", "-")} sx={{ my: 2, color: "white", display: "block" }} > {page} diff --git a/frontend/src/pages/About-Us.js b/frontend/src/pages/About-Us.js new file mode 100644 index 0000000..5ed7008 --- /dev/null +++ b/frontend/src/pages/About-Us.js @@ -0,0 +1,94 @@ +import React, { useState, useEffect } from 'react'; +// import Typography from '@mui/material/Typography'; +import '@fontsource/public-sans'; +import Image from 'next/image'; +import styled from '@emotion/styled'; +import { Typography, Box } from '@mui/material'; +import Container from '@mui/material/Container'; +import {createRoot} from 'react-dom/client' +import ReactMarkdown from 'react-markdown' + +const AboutMD = () => { + const [content, setContent] = useState(""); + + useEffect(() => { + fetch("/README.md") + .then((res) => res.text()) + .then((text) => setContent(text)); + }, []); + return ( +

    + ) +} + +const Picture = styled.div` + padding: 10px; + background-color: #fff; + + text-align: center; + left: 10; +`; + + +const AboutUs = () => { + return ( + + + AutoMate Logo + + + About the Development Team + + + + + {/* ReactDOM.render(, document.getElementById('container')) */} +
    + +
    + + + AutoMate Architecture + +
    + ); +} + +export default AboutUs; diff --git a/frontend/src/pages/How-to-Use-Your-Model.js b/frontend/src/pages/How-to-Use-Your-Model.js new file mode 100644 index 0000000..9b445fe --- /dev/null +++ b/frontend/src/pages/How-to-Use-Your-Model.js @@ -0,0 +1,66 @@ +// import React, { useState, useEffect } from 'react'; +import '@fontsource/public-sans'; +import { Typography, Box } from '@mui/material'; +import Container from '@mui/material/Container'; + + +const HowToUseYourModel = () => { + return ( + + + How To Use Your Model + + + + Your model is saved as a serialized object in a pickle file. The model can be imported into any python library that supports deserializing models in pickle file, such as Pycaret, SKLearn, and more. + The following is an example of how one can you Pycaret to load the model and start making predictions on a testing dataset. + + + +

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