app.py

import os
import cv2
import numpy as np
import json
import random
from PIL import Image, ImageDraw, ImageFont
import asyncio

import requests
import base64
import gradio as gr

machine_number = 0
model = os.path.join(os.path.dirname(__file__), "models/female_model.png")

MODEL_MAP = {
    "AI Model female_model": 'models/female_model.png',
    "AI Model female_model1": 'models/female_model1.png',
    "AI Model male_model": 'models/male_model.png',
    "AI Model male_model2": 'models/male_model2.png',
}

def add_waterprint(img):
    h, w, _ = img.shape
    img = cv2.putText(img, 'Powered by OutfitAnyone', (int(0.3*w), h-20), cv2.FONT_HERSHEY_PLAIN, 2, (128, 128, 128), 2, cv2.LINE_AA)
    return img


def get_tryon_result(model_name, garment1, garment2, seed=1234):
    # model_name = "AI Model " + model_name.split("\\")[-1].split(".")[0] # windows
    model_name = "AI Model " + model_name.split("/")[-1].split(".")[0] # linux
    print(model_name)

    encoded_garment1 = cv2.imencode('.jpg', garment1)[1].tobytes()
    encoded_garment1 = base64.b64encode(encoded_garment1).decode('utf-8')

    if garment2 is not None:
        encoded_garment2 = cv2.imencode('.jpg', garment2)[1].tobytes()
        encoded_garment2 = base64.b64encode(encoded_garment2).decode('utf-8')
    else:
        encoded_garment2 = ''

    url = os.environ['OA_IP_ADDRESS']
    headers = {'Content-Type': 'application/json'}
    seed = random.randint(0, 1222222222)
    data = {
        "garment1": encoded_garment1,
        "garment2": encoded_garment2,
        "model_name": model_name,
        "seed": seed
    }
    response = requests.post(url, headers=headers, data=json.dumps(data))
    print("response code", response.status_code)
    if response.status_code == 200:
        result = response.json()
        result = base64.b64decode(result['images'][0])
        result_np = np.frombuffer(result, np.uint8)
        result_img = cv2.imdecode(result_np, cv2.IMREAD_UNCHANGED)
    else:
        print('server error!')

    final_img = add_waterprint(result_img)
    return final_img


with gr.Blocks(css = ".output-image, .input-image, .image-preview {height: 400px !important} ") as demo:
    gr.HTML(
        """
        <div style="display: flex; justify-content: center; align-items: center; text-align: center;">
        <a href="https://github.com/HumanAIGC/OutfitAnyone" style="margin-right: 20px; text-decoration: none; display: flex; align-items: center;">
        </a>
        <div>
            <h1 >Outfit Anyone: Ultra-high quality virtual try-on for Any Clothing and Any Person</h1>
            <h4 >v0.9</h4>
            <h5 style="margin: 0;">OutfitAnyone plus version is now online with any model and any cloth: https://www.outfitanyone.life/</h5>
            <div style="display: flex; justify-content: center; align-items: center; text-align: center;>
                <a href="https://arxiv.org/abs/2407.16224"><img src="https://img.shields.io/badge/Arxiv-2407.16224-red"></a>
                <a href='https://humanaigc.github.io/outfit-anyone/'><img src='https://img.shields.io/badge/Project_Page-OutfitAnyone-green' alt='Project Page'></a>
                <a href='https://github.com/HumanAIGC/OutfitAnyone'><img src='https://img.shields.io/badge/Github-Repo-blue'></a>
            </div>
        </div>
        </div>
        """)
    with gr.Row():
        with gr.Column():
            init_image = gr.Image(sources='clipboard', type="filepath", label="model", value=model)
            
        with gr.Column():
            gr.HTML(
                """
                <div style="display: flex; justify-content: center; align-items: center; text-align: center;">
                <div>
                    <h3>Models are fixed and cannot be uploaded or modified; we only support users uploading their own garments.</h3>
                    <h4 style="margin: 0;">For a one-piece dress or coat, you only need to upload the image to the 'top garment' section and leave the 'lower garment' section empty.</h4>
                </div>
                </div>
                """)
            with gr.Row():
                garment_top = gr.Image(sources='upload', type="numpy", label="top garment")
                garment_down = gr.Image(sources='upload', type="numpy", label="lower garment")

            run_button = gr.Button(value="Run")
            
        with gr.Column():
            gallery = gr.Image()

            run_button.click(fn=get_tryon_result, 
                             inputs=[
                                    init_image,
                                    garment_top,
                                    garment_down,
                                    ], 
                             outputs=[gallery],
                             concurrency_limit=2)

if __name__ == "__main__":
    ip = requests.get('http://ifconfig.me/ip', timeout=1).text.strip()
    print("ip address alibaba", ip)
    demo.queue(max_size=10)
    demo.launch()