import gradio as gr
from help_function import help_function
from PIL import Image
import numpy as np

model_helper = help_function()

def greet(numpy_image,text,float_value):
    PIL_image = Image.fromarray(np.uint8(numpy_image)).convert('RGB')
    image_edit = model_helper.image_from_text(text,PIL_image,float_value)
    return image_edit

iface = gr.Interface(fn=greet, inputs=["image", "text", gr.inputs.Slider(0.0, 1.0)], outputs="image")
iface.launch()