app.py

import asyncio
import base64
import json
import os
import random

import cv2
import gradio as gr
import numpy as np
import requests
from PIL import Image, ImageDraw, ImageFont

# from IPython import embed

machine_number = 0
model = os.path.join(os.path.dirname(__file__), "models/eva/Eva_0.png")

MODEL_MAP = {
    "AI Model Oroton": "models/oroton/model.png",
    "AI Model Rouyan_0": "models/rouyan_new/Rouyan_0.png",
    "AI Model Rouyan_1": "models/rouyan_new/Rouyan_1.png",
    "AI Model Rouyan_2": "models/rouyan_new/Rouyan_2.png",
    "AI Model Eva_0": "models/eva/Eva_0.png",
    "AI Model Eva_1": "models/eva/Eva_1.png",
    "AI Model Simon_0": "models/simon_online/Simon_0.png",
    "AI Model Simon_1": "models/simon_online/Simon_1.png",
    "AI Model Xuanxuan_0": "models/xiaoxuan_online/Xuanxuan_0.png",
    "AI Model Xuanxuan_1": "models/xiaoxuan_online/Xuanxuan_1.png",
    "AI Model Xuanxuan_2": "models/xiaoxuan_online/Xuanxuan_2.png",
    "AI Model Yaqi_0": "models/yaqi/Yaqi_0.png",
    "AI Model Yaqi_1": "models/yaqi/Yaqi_1.png",
    "AI Model Yaqi_2": "models/yaqi/Yaqi_2.png",
    "AI Model Yaqi_3": "models/yaqi/Yaqi_3.png",
    "AI Model Yifeng_0": "models/yifeng_online/Yifeng_0.png",
    "AI Model Yifeng_1": "models/yifeng_online/Yifeng_1.png",
    "AI Model Yifeng_2": "models/yifeng_online/Yifeng_2.png",
    "AI Model Yifeng_3": "models/yifeng_online/Yifeng_3.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.Markdown("# Outfit Anyone v0.9")
    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 >test</h1>
        </div>
        </div>
        """
    )
    with gr.Row():
        with gr.Column():
            init_image = gr.Image(
                sources="clipboard", type="filepath", label="model", value=model
            )
            example = gr.Examples(
                inputs=init_image,
                examples_per_page=4,
                examples=[
                    os.path.join(
                        os.path.dirname(__file__), MODEL_MAP.get("AI Model Oroton")
                    ),
                    os.path.join(
                        os.path.dirname(__file__), MODEL_MAP.get("AI Model Rouyan_0")
                    ),
                    os.path.join(
                        os.path.dirname(__file__), MODEL_MAP.get("AI Model Rouyan_2")
                    ),
                    os.path.join(
                        os.path.dirname(__file__), MODEL_MAP.get("AI Model Eva_0")
                    ),
                    os.path.join(
                        os.path.dirname(__file__), MODEL_MAP.get("AI Model Simon_1")
                    ),
                    os.path.join(
                        os.path.dirname(__file__), MODEL_MAP.get("AI Model Eva_1")
                    ),
                    os.path.join(
                        os.path.dirname(__file__), MODEL_MAP.get("AI Model Simon_0")
                    ),
                    os.path.join(
                        os.path.dirname(__file__), MODEL_MAP.get("AI Model Xuanxuan_0")
                    ),
                    os.path.join(
                        os.path.dirname(__file__), MODEL_MAP.get("AI Model Xuanxuan_2")
                    ),
                    os.path.join(
                        os.path.dirname(__file__), MODEL_MAP.get("AI Model Yaqi_1")
                    ),
                    os.path.join(
                        os.path.dirname(__file__), MODEL_MAP.get("AI Model Yifeng_0")
                    ),
                    os.path.join(
                        os.path.dirname(__file__), MODEL_MAP.get("AI Model Yifeng_3")
                    ),
                    os.path.join(
                        os.path.dirname(__file__), MODEL_MAP.get("AI Model Rouyan_1")
                    ),
                    os.path.join(
                        os.path.dirname(__file__), MODEL_MAP.get("AI Model Yifeng_2")
                    ),
                    os.path.join(
                        os.path.dirname(__file__), MODEL_MAP.get("AI Model Yaqi_0")
                    ),
                ],
            )
        with gr.Column():
            gr.HTML(
                """
                <div style="display: flex; justify-content: center; align-items: center; text-align: center;">
                <div>
                    <h3>test</h3>
                </div>
                </div>
                """
            )
            with gr.Row():
                garment_top = gr.Image(
                    sources="upload", type="numpy", label="top garment"
                )
                example_top = gr.Examples(
                    inputs=garment_top,
                    examples_per_page=4,
                    examples=[
                        os.path.join(
                            os.path.dirname(__file__), "garments/oroton_dress1.png"
                        ),
                        os.path.join(
                            os.path.dirname(__file__), "garments/oroton_dress2.png"
                        ),
                        os.path.join(
                            os.path.dirname(__file__), "garments/oroton_dress3.png"
                        ),
                        os.path.join(
                            os.path.dirname(__file__), "garments/oroton_shirt1.png"
                        ),
                    ],
                )
                garment_down = gr.Image(
                    sources="upload", type="numpy", label="lower garment"
                )
                example_down = gr.Examples(
                    inputs=garment_down,
                    examples_per_page=5,
                    examples=[
                        os.path.join(os.path.dirname(__file__), "garments/bottom1.png"),
                        os.path.join(os.path.dirname(__file__), "garments/bottom2.PNG"),
                        os.path.join(os.path.dirname(__file__), "garments/bottom3.JPG"),
                        os.path.join(os.path.dirname(__file__), "garments/bottom4.PNG"),
                        os.path.join(os.path.dirname(__file__), "garments/bottom5.png"),
                    ],
                )

            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,
            )

    # # Examples
    # gr.Markdown("## Examples")
    # with gr.Row():
    #     reference_image1 = gr.Image(
    #         label="model", scale=1, value="examples/basemodel.png"
    #     )
    #     reference_image2 = gr.Image(
    #         label="garment", scale=1, value="examples/garment1.jpg"
    #     )
    #     reference_image3 = gr.Image(
    #         label="result", scale=1, value="examples/result1.png"
    #     )
    # gr.Examples(
    #     examples=[
    #         ["examples/basemodel.png", "examples/garment1.png", "examples/result1.png"],
    #         ["examples/basemodel.png", "examples/garment2.png", "examples/result2.png"],
    #         ["examples/basemodel.png", "examples/garment3.png", "examples/result3.png"],
    #     ],
    #     inputs=[reference_image1, reference_image2, reference_image3],
    #     label=None,
    # )

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()