Code: app.py

from flask import Flask, Response
import cv2app = Flask(__name__)
video = cv2.VideoCapture(0)@app.route('/')
def index():
    return "Default Message"def gen(video):
    while True:
        success, image = video.read()
        ret, jpeg = cv2.imencode('.jpg', image)
        frame = jpeg.tobytes()
        yield (b'--frame\r\n'
               b'Content-Type: image/jpeg\r\n\r\n' + frame + b'\r\n\r\n')@app.route('/video_feed')
def video_feed():
    global video
    return Response(gen(video),
                    mimetype='multipart/x-mixed-replace; boundary=frame')if __name__ == '__main__':
    app.run(host='0.0.0.0', port=2204, threaded=True)

RUN: python app.py

In this tutorial, I will explain how to expose the rest api using python flask in Google Colab.

I have used ngrok for making the public ip from our local. So download the ngrok and extract it.

!wget https://bin.equinox.io/c/4VmDzA7iaHb/ngrok-stable-linux-amd64.zip!unzip -o ngrok-stable-linux-amd64.zip

‘!’ command used for run the linux command in colab jupyter

from IPython import get_ipython

‘get_ipython’ used for run the linux command in background

app.py

In the jupyter 6 and 7 cell used for run the flask app.py and ngrok

Cell 8 used for see the public ip. Once you got the ngrok public ip, paste into the browser and see the output.

This is the complete google colab code.

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