app.py

import cv2
import gradio as gr
import numpy as np
import random
import base64
import requests
import json
import time


def tryon(person_img, garment_img, seed, randomize_seed):
    post_start_time = time.time()
    if person_img is None or garment_img is None:
        gr.Warning("Empty image")
        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)
        if response.status_code == 200:
            result = response.json()['result']
            status = result['status']
            if status == "success":
                uuid = result['result']
    except Exception as err:
        print(f"Post Exception 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 = 12
    result_img = None
    info = ""
    err_log = ""
    for i in range(Max_Retry):
        try:
            url = "http://" + os.environ['tryon_url'] + "Query?taskId=" + uuid
            response = requests.get(url, headers=headers, timeout=20)
            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":
                    err_log = f"Status is Error"
                    info = "Error"
                    break
            else:
                err_log = "URL error, please contact the admin"
                info = "URL error, please contact the admin"
                break
        except requests.exceptions.ReadTimeout:
            err_log = "Http Timeout"
            info = "Http Timeout, please try again later"
        except Exception as err:
            err_log = f"Get Exception Error: {err}"
        time.sleep(1)
    get_end_time = time.time()
    print(f"get time used: {get_end_time-get_start_time}")
    print(f"all time used: {get_end_time-get_start_time+post_end_time-post_start_time}")
    if info == "":
        err_log = f"No image after {Max_Retry} retries"
        info = "Too many users, please try again later"
    if info != "Success":
        print(f"Error Log: {err_log}")
        gr.Warning("Too many users, please try again later")

    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;
}
"""

with gr.Blocks(css=css) as Tryon:
    with gr.Row():
        with gr.Column(elem_id="col-left"):
            gr.HTML("Step 1: Upload a person image ⬇️")
        with gr.Column(elem_id="col-mid"):
            gr.HTML("Step 2: Upload a garment image ⬇️")
        with gr.Column(elem_id="col-right"):
            gr.HTML("Step 3: Press 'Run' to get try-on results")

    with gr.Row():
        with gr.Column(elem_id="col-left"):
            imgs = gr.Image(label="Person image", source='upload', type="numpy")
        with gr.Column(elem_id="col-mid"):
            garm_img = gr.Image(label="Garment image", source='upload', type="numpy")
        with gr.Column(elem_id="col-right"):
            image_out = gr.Image(label="Result")
            seed = gr.Slider(label="Seed", minimum=0, maximum=MAX_SEED, step=1, value=0)
            randomize_seed = gr.Checkbox(label="Random seed", value=True)
            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, "Result Info"], api_name=False, concurrency_limit=10)

Tryon.launch()