A digital tool for therapists

Learn more about our project at our devpost

• NodeJS
• NPM
• Angular CLI
• Python3

If you dont have Angular CLI installed, first run (you might need sudo)

npm install -g @angular/cli

Under Inkblot/front_end/ run the command

npm install && ng serve

You can now access the page at http:https://localhost:4200/

Make sure to install all the python requirements.

Under Inkblot/server/ run the command

pip install -r requirements.txt

To start the API locally run

python3 app.py

The server will by default run on port 80 and you may need sudo permissions.

sudo python3 app.py

The API is meant to be run on a GCP Compute Instance. To direct the front-end to the correct API to use, change

url = "http:https://35.221.34.118/process/";

To where your API is being hosted. If running it locally, change it to

url = "http:https://127.0.00.1/process/";

This is located in Inkblot/front_end/src/app/services/getdata.service.ts

Under /Users/daniwang/PRMHackPrinceton/server/capture.py the API expects 2 things

• It needs a path to a video, which by default is included in this repo.
• It also needs the name to a google bucket to push the extracted .wav file to

video_path = '../FACIAL_EXPR.mp4'

google_bucket = 'audio-hackprinceton19'

• You might experience CORS blocking you from calling your API if you run both the front-end and back-end locally
• You will need to set up a GCP API Key and enable access to both Google Vision API as well as Google Speech to Text API
  • Vision: https://cloud.google.com/vision/docs/
  • Speech to Text: https://cloud.google.com/speech-to-text/