app.py

import os
import cv2
from PIL import Image
import gradio as gr
import numpy as np
import random
import base64
import requests
import json
import time
from requests.adapters import HTTPAdapter

def tryon(person_img, garment_img, seed, randomize_seed):
    start_time = time.time()
    if person_img is None or garment_img is None:
        return None, None, "Empty image"
    if randomize_seed:
        seed = random.randint(0, MAX_SEED)
    encoded_person_img = cv2.imencode('.jpg', cv2.cvtColor(person_img, cv2.COLOR_RGB2BGR))[1].tobytes()
    encoded_person_img = base64.b64encode(encoded_person_img).decode('utf-8')
    encoded_garment_img = cv2.imencode('.jpg', cv2.cvtColor(garment_img, cv2.COLOR_RGB2BGR))[1].tobytes()
    encoded_garment_img = base64.b64encode(encoded_garment_img).decode('utf-8')

    url = "http://" + os.environ['tryon_url'] + "Submit"
    token = os.environ['token']
    cookie = os.environ['Cookie']
    referer = os.environ['referer']
    headers = {'Content-Type': 'application/json', 'token': token, 'Cookie': cookie, 'referer': referer}
    data = {
        "clothImage": encoded_garment_img,
        "humanImage": encoded_person_img,
        "seed": seed
    }
    response = requests.post(url, headers=headers, data=json.dumps(data), timeout=40)
    print("post response code", response.status_code)
    if response.status_code == 200:
        result = response.json()['result']
        status = result['status']
        if status == "success":
            uuid = result['result']
            print(uuid)

    try:
        url = "http://" + os.environ['tryon_url'] + "Query?" + uuid
        session = requests.Session()
        session.mount("http://",  HTTPAdapter(max_retries=3))
        response = session.get(url, headers=headers, timeout=10)
        print("get response code", response.status_code)
        if response.status_code == 200:
            result = response.json()['result']
            status = result['status']
            if status == "success":
                result = base64.b64decode(result['result'])
                result_np = np.frombuffer(result, np.uint8)
                result_img = cv2.imdecode(result_np, cv2.IMREAD_UNCHANGED)
                result_img = cv2.cvtColor(result_img, cv2.COLOR_RGB2BGR)
                info = "Success"
            else:
                info = "Try again latter"
        else:
            print(response.text)
            info = "URL error, pleace contact the admin"
    except requests.exceptions.ReadTimeout:
        print("timeout")
        info = "Too many users, please try again later"
        raise gr.Error("Too many users, please try again later")
    end_time = time.time()
    print(f"time used: {end_time-start_time}")

    return result_img, seed, info
    



def start_tryon(person_img, garment_img, seed, randomize_seed):
    start_time = time.time()
    if person_img is None or garment_img is None:
        return None, None, "Empty image"
    if randomize_seed:
        seed = random.randint(0, MAX_SEED)
    encoded_person_img = cv2.imencode('.jpg', cv2.cvtColor(person_img, cv2.COLOR_RGB2BGR))[1].tobytes()
    encoded_person_img = base64.b64encode(encoded_person_img).decode('utf-8')
    encoded_garment_img = cv2.imencode('.jpg', cv2.cvtColor(garment_img, cv2.COLOR_RGB2BGR))[1].tobytes()
    encoded_garment_img = base64.b64encode(encoded_garment_img).decode('utf-8')

    url = "http://" + os.environ['tryon_url']
    token = os.environ['token']
    cookie = os.environ['Cookie']
    referer = os.environ['referer']

    headers = {'Content-Type': 'application/json', 'token': token, 'Cookie': cookie, 'referer': referer}
    data = {
        "clothImage": encoded_garment_img,
        "humanImage": encoded_person_img,
        "seed": seed
    }

    result_img = None
    try:
        session = requests.Session()
        response = session.post(url, headers=headers, data=json.dumps(data), timeout=60)
        print("response code", response.status_code)
        if response.status_code == 200:
            result = response.json()['result']
            status = result['status']
            if status == "success":
                result = base64.b64decode(result['result'])
                result_np = np.frombuffer(result, np.uint8)
                result_img = cv2.imdecode(result_np, cv2.IMREAD_UNCHANGED)
                result_img = cv2.cvtColor(result_img, cv2.COLOR_RGB2BGR)
                info = "Success"
            else:
                info = "Try again latter"
        else:
            print(response.text)
            info = "URL error, pleace contact the admin"
    except requests.exceptions.ReadTimeout:
        print("timeout")
        info = "Too many users, please try again later"
        raise gr.Error("Too many users, please try again later")
    except Exception as err:
        print(f"其他错误: {err}")
        info = "Error, pleace contact the admin"
    end_time = time.time()
    print(f"time used: {end_time-start_time}")

    return result_img, seed, info

MAX_SEED = 999999

example_path = os.path.join(os.path.dirname(__file__), 'assets')

garm_list = os.listdir(os.path.join(example_path,"cloth"))
garm_list_path = [os.path.join(example_path,"cloth",garm) for garm in garm_list]

human_list = os.listdir(os.path.join(example_path,"human"))
human_list_path = [os.path.join(example_path,"human",human) for human in human_list]

css="""
#col-left {
    margin: 0 auto;
    max-width: 430px;
}
#col-mid {
    margin: 0 auto;
    max-width: 430px;
}
#col-right {
    margin: 0 auto;
    max-width: 430px;
}
#col-showcase {
    margin: 0 auto;
    max-width: 1100px;
}
#button {
    color: blue;
}
"""

def load_description(fp):
    with open(fp, 'r', encoding='utf-8') as f:
        content = f.read()
    return content

def change_imgs(image1, image2):
    return image1, image2

with gr.Blocks(css=css) as Tryon:
    gr.HTML(load_description("assets/title.md"))
    with gr.Row():
        with gr.Column(elem_id = "col-left"):
            gr.HTML("""
            <div style="display: flex; justify-content: center; align-items: center; text-align: center;">
                <div>
            <h2>Step 1.  Upload a person image. ⬇️</h2>
                </div>
            </div>
            """)
        with gr.Column(elem_id = "col-mid"):
            gr.HTML("""
            <div style="display: flex; justify-content: center; align-items: center; text-align: center;">
                <div>
            <h2>Step 2. Upload a garment image. ⬇️</h2>
                </div>
            </div>
            """)
        with gr.Column(elem_id = "col-right"):
            gr.HTML("""
            <div style="display: flex; justify-content: center; align-items: center; text-align: center;">
                <div>
            <h2>Step 3. Press the “Run” button to get try-on results.</h2>
                </div>
            </div>
            """)
    with gr.Row():
        with gr.Column(elem_id = "col-left"):
            imgs = gr.Image(label="Person image", sources='upload', type="numpy")
            # category = gr.Dropdown(label="Garment category", choices=['upper_body', 'lower_body', 'dresses'],  value="upper_body")
            example = gr.Examples(
                inputs=imgs,
                examples_per_page=12,
                examples=human_list_path
            )
        with gr.Column(elem_id = "col-mid"):
            garm_img = gr.Image(label="Garment image", sources='upload', type="numpy")
            example = gr.Examples(
                inputs=garm_img,
                examples_per_page=12,
                examples=garm_list_path
            )
        with gr.Column(elem_id = "col-right"):
            image_out = gr.Image(label="Result", show_share_button=False)
            with gr.Row():
                seed = gr.Slider(
                    label="Seed",
                    minimum=0,
                    maximum=MAX_SEED,
                    step=1,
                    value=0,
                )
                randomize_seed = gr.Checkbox(label="Random seed", value=True)
            with gr.Row():
                seed_used = gr.Number(label="Seed used")
                result_info = gr.Text(label="Response")
            try_button = gr.Button(value="Run", elem_id="button")
            test_button = gr.Button(value="Test", elem_id="button")


    try_button.click(fn=start_tryon, inputs=[imgs, garm_img, seed, randomize_seed], outputs=[image_out, seed_used, result_info], api_name='tryon',concurrency_limit=10)
    test_button.click(fn=tryon, inputs=[imgs, garm_img, seed, randomize_seed], outputs=[image_out, seed_used, result_info], api_name='tryon',concurrency_limit=10)

    with gr.Column(elem_id = "col-showcase"):
        gr.HTML("""
        <div style="display: flex; justify-content: center; align-items: center; text-align: center;">
            <div>
        <h2>Virtual try-on examples in pairs of person and garment images.</h2>
            </div>
        </div>
        """)
        show_case = gr.Examples(
            examples=[
                ["assets/examples/model2.png", "assets/examples/garment2.png", "assets/examples/result2.png"],
                ["assets/examples/model3.png", "assets/examples/garment3.png", "assets/examples/result3.png"],
                ["assets/examples/model1.png", "assets/examples/garment1.png", "assets/examples/result1.png"],
            ],
            inputs=[imgs, garm_img, image_out],
            label=None
        )

# ip = requests.get('http://ifconfig.me/ip', timeout=1).text.strip()
# print("ip address", ip)
Tryon.queue(max_size = 20).launch(max_threads = 5)