import os
import sys



#clone https://github.com/openai/CLIP
os.system("git clone https://github.com/openai/CLIP")
os.system("git clone https://github.com/CompVis/taming-transformers.git")
# !pip install taming-transformers
#clone https://github.com/CompVis/taming-transformers.git
os.system("git clone https://github.com/dribnet/pixray")
import gradio as gr
import torch
sys.path.append("pixray")
import pixray


# Define the main function
def generate(prompt, quality, aspect):
    torch.cuda.empty_cache()
    pixray.reset_settings()
    
    # use_pixeldraw = (style == 'pixel art')
    # use_clipdraw = (style == 'painting')
    pixray.add_settings(prompts=prompt,
                        aspect=aspect,
                        quality=quality,
                        make_video=True)
  
    settings = pixray.apply_settings()
    pixray.do_init(settings)
    pixray.do_run(settings)

    return 'output.png', 'output.mp4'

# Create the UI
prompt = gr.inputs.Textbox(default="Underwater city", label="Text Prompt")
quality = gr.inputs.Radio(choices=['draft', 'normal', 'better'], label="Quality")
# style = gr.inputs.Radio(choices=['image', 'painting','pixel art'], label="Type")
aspect = gr.inputs.Radio(choices=['square', 'widescreen','portrait'], label="Size")

# Launch the demo
iface = gr.Interface(generate, inputs=[prompt, quality, aspect], outputs=['image', 'video'], enable_queue=True, live=False)
iface.launch(debug=False)