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Fetching our template and setting it up:

I assume you have Python(with Anaconda) installed in your operating system and set to path. If not, please visit this. Using GIT along with Python is highly recommended for version control and deployment

  • Open GitHub

  • Log in with your credentials. [ Create an account if you have not done it already]

  • Open the terminal/command prompt on your system

  • Move to a suitable location where you want to keep the project files locally (Example: cd Desktop/projects)

  • Clone this repository.

git clone --depth 1 https://github.com/smaranjitghose/img_ai_app_boilerplate.git
  • Navigate inside your cloned copy of the template
cd img_ai_app_boilerplate
  • Now, let's fetch our dependencies to run our app. [A python package called StreamLit is at the heart of this app]
 pip install -r requirements.txt
  • In the next section, check out how integrate your model files inside the app.

NOTE: For now, we are exclusively focused on image classification models built using tensorflow/pytorch. Later we would expand to models dealing with text and speech data as well as training using MXNet or a julia environment