Manohari: Find how much attractive you are to others

Pradyumna Krishna — Mon, 07 Mar 2022 10:22:13 +0000

Overview of My Submission

Manohari is a web application that tells how much attractive a person is for others, it works on some studies that I will tell you later in this blog.
It is built with Azure App Service, Azure Blob Storage and Azure Cognitive Services (Face API).

Go give it a try at https://manohari.azurewebsites.net and check yourself.

Submission Category:

Wacky Wildcards

Link to Code on GitHub

Last weekend, I asked my friend about a silly game that we played in childhood and can build for hackathon. He told me a love calculator and I took it seriously.

Tell me in the comments, how much you like this silly idea.

PradyumnaKrishna / manohari

Manohari

Find your attractive score using this application, it works on a simple principle of similar facial characteristics between persons. Give it a try at https://manohari.azurewebsites.net, My Project Submission to Microsoft Azure Trial Hackathon on DEV.

It is built using Azure App Service, Azure Blob Storage and Azure Cognitive Service (Face API).

View on GitHub

Working

According to some studies it is found that people likes faces that have common facial characteristics to them or their near one. So, I used Azure Face API to match faces and get the confidence, after that I tried to neutralise gender biasing and added emotional score. I added some quotes to tell your some points that I consider while calculating the score.

It is not much accurate because of two reasons:

It differs from person to person and depends upon person perspective.
Azure Face API tries to match person and doesn't returns the score for similar facial characteristics.

I believe that if I train my own ML model then it will produce more accurate results but it is only for fun. I handed the case if same person provided in both images, it checks that the persons are identical and returns no score.

You can understand my algorithm from my GitHub repository provided and tell me in the comments how I can improve it.

Azure Services

I used three Azure Services:

Azure App Service
Azure Face API
Azure Blob Storage

Flask application hosted on Azure App Service provides user interaction and communicate with Azure Blob Storage and Face API. Blob storage is used to storage the images provided by user and Face API uses those images to detect and find similar.

Screenshots and Gif

Demo

Angry Face

Disgusting Face

End Note

I hope you find this interesting and tell me in the comments about your opinion on it.

Thanks to my friend Chetan Goyal to provide this idea.

Preview Pull Requests and Automated CI/CD

Pradyumna Krishna — Thu, 09 Dec 2021 07:22:13 +0000

My Workflow

I am going to Automate CI/CD with linting, testing and code analysis for Python and Vue.js and Preview Pull Requests Builds.

My Repository have a Client build with Vue.js and a Server build with Python. Now, It is a E2E chat messenger.

So, Here how it works

My first workflow is to build and deploy or preview Client, It runs whenever a push or pull request creates for main branch containing changes to the code of client. It install dependencies and builds vue.js app. After build I use peaceiris/actions-gh-pages to deploy it to Github Pages. If the event is Pull Request then deploy to a sub-directory named preview and commit hash and leave a comment on PR.

My second workflow it to lint, test and build docker of Python Server, It runs on the same condition as of client with commit containing changes to the code of Python Server. It setup python, installs dependencies of the server and lints and tests the code. On successful completion of the first job second job is to build and release the Docker Image. If the event is Pull Request then it leaves a comment on PR.
There is one other job that performs code analysis with github/codeql-action.

So, These two workflow performs CI/CD and preview Pull Request builds.

PradyumnaKrishna / Enigma-Protocol

An end to end encrypted messenger using Flask, SocketIO, and Vue.js

Enigma Protocol

Hello Friends, I built an end to end encrypted messenger using Flask, SocketIO, and Vue.js.

Working

The Chat is encrypted using RSA encrytion that is a public key encryption or you can say asymmetric encryption. RSA gives two keys, public key and private key, public key is used to encrypt messages while private key is used to decrypt them.

I have used Diffie–Hellman key exchange to exchange the public keys of the users. These keys are used by user A to encrypt messages and send them to another user B and user B can decrypt them using his private key.

Socket.io is used to send and receive messages, these messages are encrypted and sent to the user having the private key to decrypt it.

I created some Flask API to store the information* of the users in a SQLite database and relogin as the user if page reloaded.

…

View on GitHub

Submission Category:

Maintainer Must-Haves

Yaml File or Link to Code

Here are my files for the two workflows

Client Build & Deployment

name: Client Build

on:
  push:
    branches:
      - main
    paths:
      - client/**
  pull_request:
    branches:
      - main
    paths:
      - client/**

jobs:
  release:
    defaults:
      run:
        working-directory: client
    runs-on: ubuntu-latest
    env:
      VUE_APP_APIURL: ${{ secrets.VUE_APP_APIURL }}
    steps:
      - name: Checkout Code
        uses: actions/checkout@v2
      - name: Setup Node
        uses: actions/setup-node@v2
        with:
          node-version: '14'
      - name: Cache Dependencies
        uses: actions/cache@v2
        with:
          path: ~/.npm
          key: ${{ runner.os }}-node-${{ hashFiles('**/package-lock.json') }}
          restore-keys: |
            ${{ runner.os }}-node-
      - name: Install Dependencies
        run: npm ci
      - name: Build
        run: npm run build
      - name: Set outputs
        id: vars
        run: echo "::set-output name=sha_short::$(git rev-parse --short ${{ github.event.pull_request.head.sha }})"
      - name: Preview Pull Request
        if: ${{ github.event_name == 'pull_request' }}
        uses: peaceiris/actions-gh-pages@v3
        with:
          github_token: ${{ secrets.GITHUB_TOKEN }}
          publish_dir: ./client/dist
          destination_dir: preview/${{ steps.vars.outputs.sha_short }}
          cname: protocol.onpy.in
      - name: Release
        if: ${{ github.event_name == 'push' }}
        uses: peaceiris/actions-gh-pages@v3
        with:
          github_token: ${{ secrets.GITHUB_TOKEN }}
          publish_dir: ./client/dist
          cname: protocol.onpy.in
          keep_files: true
      - name: Publish
        if: ${{ github.event_name == 'pull_request' }}
        uses: marocchino/sticky-pull-request-comment@v2
        with:
          header: Client Github Pages Build
          message: |
            Preview avaiable to https://protocol.onpy.in/preview/${{ steps.vars.outputs.sha_short }}

Server Build and Release

name: Python Server Build

on:
  push:
    branches:
      - main
    paths:
      - server/python/**
  pull_request:
    branches:
      - main
    paths:
      - server/python/**

jobs:
  code_analysis:
    defaults:
      run:
        working-directory: server/python
    name: Code Analysis
    runs-on: ubuntu-latest
    permissions:
      actions: read
      contents: read
      security-events: write
    strategy:
      fail-fast: false
      matrix:
        language: ["python"]
    steps:
      - name: Checkout Code
        uses: actions/checkout@v2
      - name: Set up Python
        uses: actions/setup-python@v1
        with:
          python-version: 3.8
      - name: Install Dependencies
        run: |
          python -m pip install --upgrade pip
          pip install -r requirements-test.txt
      - name: Lint
        run: |
          pylint *.py
          black --check .
      - name: Initialize CodeQL
        uses: github/codeql-action/init@v1
        with:
          languages: ${{ matrix.language }}
      - name: Autobuild
        uses: github/codeql-action/autobuild@v1
      - name: Perform CodeQL Analysis
        uses: github/codeql-action/analyze@v1

  lint-and-test:
    defaults:
      run:
        working-directory: server/python
    runs-on: ubuntu-latest
    steps:
      - name: Checkout repository
        uses: actions/checkout@v2
      - name: Set up Python
        uses: actions/setup-python@v1
        with:
          python-version: 3.8
      - name: Install Dependencies
        run: |
          python -m pip install --upgrade pip
          pip install -r requirements-test.txt
      - name: Lint
        run: |
          pylint *.py
          black --check .
      - name: Test
        run: |
          pytest tests

  build:
    needs: lint-and-test
    runs-on: ubuntu-latest
    permissions:
      contents: read
      packages: write
      pull-requests: write

    env:
      REGISTRY: ghcr.io
      IMAGE_NAME: ghcr.io/pradyumnakrishna/enigma-protocol/python-server

    steps:
      - name: Set DATE
        run: echo "DATE=$(date '+%Y-%m-%d')" >> $GITHUB_ENV
      - name: Checkout repository
        uses: actions/checkout@v2
      - name: Log in to the Container registry
        uses: docker/login-action@f054a8b539a109f9f41c372932f1ae047eff08c9
        with:
          registry: ${{ env.REGISTRY }}
          username: ${{ github.actor }}
          password: ${{ secrets.GITHUB_TOKEN }}
      - name: Set Image Tags
        run: |
          export SHORT_SHA=$(echo ${{ github.sha }} | cut -c1-7)
          if [[ ${{ github.event_name }} == 'push' ]]; then
            echo "IMAGE_TAG=${{ env.IMAGE_NAME }}:latest,${{ env.IMAGE_NAME }}:$SHORT_SHA" >> $GITHUB_ENV
          else
            echo "IMAGE_TAG=${{ env.IMAGE_NAME }}:$SHORT_SHA" >> $GITHUB_ENV
          fi
          exit 0
        shell: bash
      - name: Build and Push Server Image
        uses: docker/build-push-action@ad44023a93711e3deb337508980b4b5e9bcdc5dc
        with:
          context: server/python
          push: true
          tags: ${{ env.IMAGE_TAG }}
      - name: Publish
        if: ${{ github.event_name == 'pull_request' }}
        uses: marocchino/sticky-pull-request-comment@v2
        with:
          header: Python Server Docker Build
          message: |
            Python Server image build with tag consist commit hash, Use command given below to pull it.
            docker pull ${{ env.IMAGE_TAG }}

Additional Resources / Info

Here's the repo where this workflow is used: github.com/PradyumnaKrishna/enigma-protocol

The Client Deployment and Preview Website: protocol.onpy.in
The Server Releases: ghcr.io/PradyumnaKrishna/enigma-protocol/python-server

Actions I used

actions/setup-python
actions/setup-node
marocchino/sticky-pull-request-comment
peaceiris/actions-gh-pages
docker/build-push-action
docker/login-action
github/codeql-action
actions/checkout

DEV Community: Pradyumna Krishna

Manohari: Find how much attractive you are to others

Overview of My Submission

Submission Category:

Link to Code on GitHub

PradyumnaKrishna / manohari

Manohari

Working

Azure Services

Screenshots and Gif

End Note

Preview Pull Requests and Automated CI/CD

My Workflow

PradyumnaKrishna / Enigma-Protocol

An end to end encrypted messenger using Flask, SocketIO, and Vue.js

Enigma Protocol

Working

Submission Category:

Yaml File or Link to Code

Additional Resources / Info