import gradio as gr
import os
os.system("pip install 'git+https://github.com/facebookresearch/detectron2.git'")
os.system("git clone https://github.com/ShuhongChen/bizarre-pose-estimator.git")
os.chdir("bizarre-pose-estimator")

os.system("gdown https://drive.google.com/uc?id=1qhnBmMdDTC_8kmNj4u2f_Htfvg6KuE14")


os.system("unzip bizarre_pose_models.zip")
os.system("cp -a ./bizarre_pose_models/. .")


os.system("ls")

def inference(img):
  os.system("python3 -m _scripts.pose_estimator "+img+" ./_train/character_pose_estim/runs/feat_concat+data.ckpt")

  return "./_samples/character_pose_estim.png"
  
  
title = "Anime2Sketch"
description = "demo for Anime2Sketch. To use it, simply upload your image, or click one of the examples to load them. Read more at the links below."
article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2104.05703'>Adversarial Open Domain Adaption for Sketch-to-Photo Synthesis</a> | <a href='https://github.com/Mukosame/Anime2Sketch'>Github Repo</a></p>"

gr.Interface(
    inference, 
    gr.inputs.Image(type="filepath", label="Input"), 
    gr.outputs.Image(type="file", label="Output"),
    title=title,
    description=description,
    article=article
    ).launch(debug=True)