SourasishBasu / Digit-Classifier

Simple ML app using Gradio and Tensorflow to identify handwritten digits

Digit-Classifier

Interactive ML webapp using Gradio and Tensorflow to identify handwritten digits using a model trained on the MNIST dataset.

Prerequisites:

• Python 3.9 & up

• Open Command prompt and type:

  pip install gradio --user
  
  pip install tensorflow --user

To run in terminal:

• Open Powershell in the local repository folder

• Type:

   python main.py

• The web interface will be available at the url generated: http://localhost:7860

Using Google Colab

• The program is also available in Google Colab which can be accessed here.

• Copy the notebook to your Google Drive and follow the instructions to run the code.

Usage

• Draw different digits using mouse cursor onto the sketch area and click submit.

• A list of guesses along with how confident the trained model is for other guesses will be provided with varying percentages.

• Click clear to refresh the sketch area and start drawing again.

Images

Interface

Example