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build a text generation model

Project description

Text Gen :goat:

python tensorflow PyPI

Almost State-of-the-art Text Generation library

Text gen is a python library that allow you build a custom text generation model with ease :smile: Something sweet built with Tensorflow and Pytorch - This is the brain of rosalove ai(rosalove.xyz)

How to use it

pip install -U text-gen
from text_gen import ten_textgen as ttg

load data

data = 'rosalove.csv'
text = ttg.loaddata(data)

parameters

activation = 'softmax'
lstmlayer = 128
padding_method = 'pre'

loss='categorical_crossentropy'
optimizer='adam'
metrics='accuracy'
epochs=100
verbose = 0
patience = 10
batch = 300
pipeline = ttg.tentext(text)
seq_text = pipeline.sequence(padding_method)
configg = pipeline.configmodel(seq_text, lstmlayer, activation)

train model

model_history = pipeline.fit(loss = loss, optimizer = optimizer, batch = batch, metrics = metrics, epochs = epochs, verbose = 0, patience = patience)

generate text using the phrase

pipeline.predict('hello love')

plot loss and accuracy

pipeline.plot_loss_accuracy()

Hyper parameter optimization

pipeline.hyper_params(epochs = 100)

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