Clipper - Use Machine Learning and Twilio to Turn Screenshots into Video Clips
#twiliohackathon#machinelearning
Michael Lustig - halfjew22@gmail.com

Michael Lustig - halfjew22@gmail.com @technoplato

Location:
Florida
Joined:
Nov 30, 2018

Clipper - Use Machine Learning and Twilio to Turn Screenshots into Video Clips

Publish Date: May 1 '20
18 0

What I built --- Clipper

Category Submission: Interesting Integrations

Walking Through the Code

Demo Link

https://clipper.ngrok.io

Link to Code

GitHub logo technoplato / Clipper

Send us a text and we'll send you a clip of your video

Try It

https://clipper.ngrok.io/

Setup

Docker & Docker Compose

  1. Install Docker
  2. Install Docker Compose

Google Cloud Vision

  1. Follow instructions here to create a Google Cloud Vision Enabled Project and download key.json
  2. Open the env file at the root of the project and make WHERE_IS_MY_GOOGLE_CLOUD_PLATFORM_KEY_JSON_FILE match where you downloaded your file.

Twilio

  1. Use the promo code DEVHACK20 for $20 when you create your account.
  2. Create a new Twilio Account (DISCLAIMER: this is my referral link)
  3. Navigate to your Twilio Console and copy your ACCOUNT SID and AUTH TOKEN into the same .env file from above.
  4. Buy a Twilio phone number and copy it to your pyclipper/pyclipper.ini.sample file.

Finally, change the name of the pyclipper.ini.sample to pyclipper.ini

Run Application

  • Run docker-compose up (AFTER FOLLOWING SETUP INSTRUCTIONS)

TODO

  • Get google application credentials into environemnt where its needed. I need to figure out docker for this

  • Automate ngrok and twilio webhook configuration

  • Install twilio cli…

View on GitHub

How I built it (what's the stack? did I run into issues or discover something new along the way?)

I learned a ton and I've got to write more about the experience, but right now, just wanted to submit a post with the Dockerized and runnable version of my project.

The stack is built with Flask, RabbitMQ, Google Cloud Vision, and Docker / Docker Compose (if that counts in the stack?).

I want to say thanks to Twilio and DevTo for putting this on. I had a lot of fun creating this project and will use it and continue to improve on it for my own personal experience and enjoyment after the hackathon. Good luck to all!

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