This is small project of Font Libraries for native languages ( Hindi , Malayalam, Tamil etc). By using GAN model to calculate AL/ML model be trained to generate entire library from a (chosen) few characters?
C:\Users\Admin>python --version Python 3.11.5
Libraries: inltk = natural language toolkit for indic (Indian native language) import pandas as pd # for data collection (.csv file format to load data) import numpy as np # for data analysis import matplotlib.pyplot as plt # for data visualization import tensorflow as tf # for machine learning operations
import collections.abc # I found error like in 'setup language' so that I use this library to
collections.Iterable = collections.abc.Iterable
[2] Data Preprocessing use 'setup' for language selection. it is a methos in NLP or inltk
[3] Predict Next Character = Use inltk's predict_next_words to predict the next character in a sequence.
[4]Generate Sequence = Function to generate a sequence of characters based on the predicted next character.
[5] Model Selection = Use a GAN model to learn the style and generate new characters. 2024-06-08 18:46:34.045774: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. I found this warning/ error due my system settings.
[6] Training = Train the model with the collected data.
[7] Inference = Generate the entire font library from a few input characters.