Deployment Deep Learning Model TrainRoadSignals using Flask

Required installations

Set up a Python development environment

Install virtualenv with:

pip install virtualenv

Installing Python Modules for Project

Install Flask (Within the activated environment, use the following command to install Flask)

pip install Flask

Install the TensorFlow pip package

pip install --upgrade tensorflow

Running the project

1. Run app.py using below command to start Flask API

python app.py

By default, flask will run on port 5000.

2. Navigate to URL http://127.0.0.1:5000/

You should be able to view the homepage.

3. You should be able to see the result through API /predict

API /predict: method POST http://127.0.0.1:5000/predict

DEMO: https://youtu.be/_CsE8SXvHYM