app.py

import gradio as gr

def greet(name):
    return "Hello " + name + "!!"

iface = gr.Interface(fn=greet, inputs="text", outputs="text")
iface.launch()

from keras.utils import simple_utils
from keras.models import Sequential
from keras.layers import Channels, Dense, Embedding, Concatenate, LSTM
from keras.layers import Reshape, Flatten
from keras.utils import plot_model

def text_to_image(text):
    image = plot_model.generate_converting_function(
        SimpleLeakyReLU(alpha=0.1),
        inputs=['text', '-', 'color']
    )
    return image

def main():
    text = '''Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed dictum porta quis massa aliquet, dictum pellentes volutpat. Duis vel elit metus, eget luctus imperdiet quis. Sed arcu eget eros massa, vehicula velit velit. Nam vitae mi eget felis pretium, in velit at fringilla luctus. Nulla luctus ligula dignissim arcu, at consequat elementum laoreet. In iaculis pellentes at metus. '
    r. 
    c. 
    u.
    '''
    image = text_to_image(text)
    return image