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):
    post_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
    }
    try:
        response = requests.post(url, headers=headers, data=json.dumps(data), timeout=50)
        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)
    except Exception as err:
        print(f"Error: {err}")
        raise gr.Error("Too many users, please try again later")
    post_end_time = time.time()
    print(f"post time used: {post_end_time-post_start_time}")

    get_start_time = time.time()
    time.sleep(9)
    Max_Retry = 10
    result_img = None
    for i in range(Max_Retry):
        try:
            url = "http://" + os.environ['tryon_url'] + "Query?taskId=" + uuid
            response = requests.get(url, headers=headers, timeout=15)
            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"
                    break
                elif status == "error":
                    raise gr.Error("Too many users, please try again later")
            else:
                print(response.text)
                info = "URL error, please contact the admin"
        except requests.exceptions.ReadTimeout:
            print("timeout")
            info = "Too many users, please try again later"
        time.sleep(1)
    get_end_time = time.time()
    print(f"get time used: {get_end_time-get_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 later"
        else:
            print(response.text)
            info = "URL error, please 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"Error: {err}")
        info = "Error, please contact the admin"
    end_time = time.time()
    print(f"time used: {end_time-start_time}")

    return result_img, seed, info

MAX_SEED = 999999

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 change_imgs(image1, image2):
    return image1, image2

with gr.Blocks(css=css) as Tryon:
    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; font-size: 20px;">
                <div>
                Step 1.  Upload a person image ⬇️
                </div>
            </div>
            """)
        with gr.Column(elem_id="col-mid"):
            gr.HTML("""
            <div style="display: flex; justify-content: center; align-items: center; text-align: center; font-size: 20px;">
                <div>
                Step 2. Upload a garment image ⬇️
                </div>
            </div>
            """)
        with gr.Column(elem_id="col-right"):
            gr.HTML("""
            <div style="display: flex; justify-content: center; align-items: center; text-align: center; font-size: 20px;">
                <div>
                Step 3. Press “Run” to get try-on results
                </div>
            </div>
            """)
    with gr.Row():
        with gr.Column(elem_id="col-left"):
            imgs = gr.Image(label="Person image", sources='upload', type="numpy")
        with gr.Column(elem_id="col-mid"):
            garm_img = gr.Image(label="Garment image", sources='upload', type="numpy")
        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")
            test_button = gr.Button(value="Run", elem_id="button")

    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; font-size: 20px;">
            <div> </div>
            <br>
            <div>
            Virtual try-on examples in pairs of person and garment images
            </div>
        </div>
        """)

Tryon.queue(max_size=20).launch(max_threads=5)