Handwriting-Diffusion-App

An application that generates handwritten text using Diffusion Models.

DEMO

by streamlit

Overview

This application leverages TensorFlow and Streamlit to generate realistic handwritten text from user input.

Features

• Generate handwritten text in real-time
• Customizable handwriting styles
• Easy-to-use interface

Requirement

• Python 3.7
• TensorFlow 2.3.0
• Streamlit

See requirements.txt for more information.

To install the required packages for your local environment, run:

pip install -r requirements.txt

Installation

1. Clone the repository

   $ git clone https://github.com/t-na10/handwriting-generation.git
   $ cd handwriting-generation

2. Set up Docker environment

   $ docker compose up -d hwd-local

   $ docker exec -it hwd-local bash

Usage

To run the demo, use the following command within the Docker container or your local environment:

$ streamlit run app.py --server.port 8080

Then, open your browser and navigate to http://localhost:8080.