from asyncio import constants
import gradio as gr
import requests
import os 


def generate_image(seed,psi):
  iface = gr.Interface.load("spaces/hysts/StyleGAN-Human")
  img=iface(seed,psi)
  return img

def generate_model(img):
    iface = gr.Interface.load("spaces/radames/PIFu-Clothed-Human-Digitization/tree/main")
    model,file=iface(img)
    return model,file


demo = gr.Blocks()

with demo:
  gr.Markdown("<h1><center>StyleGan-Human + PIFu </center></h1>")
  gr.Markdown(
        "create a person and then generate a model from that person's image"
    )
    
  
  with gr.Row():
    b0 = gr.Button("generate image")
    b1 = gr.Button("generate model")
  
  with gr.Row():  
    seed=gr.Number(default=0, label='Seed'),
    psi=gr.Slider(0, 2, step=0.05, default=0.7, label='Truncation psi')
    img = gr.Image(label="portrait",type="filepath", shape=(256,256))
    model = gr.Model3D(clear_color=[0.0, 0.0, 0.0, 0.0],  label="3D Model"),
    file= gr.File(label="Download 3D Model")

  
  b0.click(generate_image,inputs=[seed,psi],outputs=img)
  b1.click(generate_model, inputs=img, outputs=[model,file])

demo.launch(enable_queue=True, debug=True)