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import os
import gradio as gr
import requests
import base64
from io import BytesIO
from PIL import Image
import hashlib
import concurrent.futures

# Constants
FREE_URL = os.environ.get("SERVER_URL_FREE")
PREMIUM_URL = os.environ.get("SERVER_URL_PREMIUM")
PREMIUM_URL2 = os.environ.get("SERVER_URL_PREMIUM2")
TOKEN_SERVER_URL = os.environ.get("TOKEN_URL")
API_KEY = os.environ.get("API_KEY")

STATUS_MESSAGES = {
    301: "Too many faces in the photo.",
    302: "Face is not clear enough.",
    303: "No matches found.",
    304: "No face in the photo.",
    305: "Search blocked for privacy issue.",
    401: "Invalid image format.",
    402: "Wrong request.",
    403: "Please try again later.",
    404: "Timeout, try again."
}
FREE_SUFFIX = "*********"

def image_to_base64(image):
    buffered = BytesIO()
    image.save(buffered, format="JPEG", quality=90)
    return base64.b64encode(buffered.getvalue()).decode('utf-8')

def base64_to_image(base64_str):
    return base64.b64decode(base64_str + '=' * (-len(base64_str) % 4))

def check_db(img_array, suffix):
    hashes = []
    out_array = []
    for item in img_array:
        try:
            image_data = base64_to_image(item["image"])
            image_hash = hashlib.sha256(image_data).hexdigest()
            hashes.append(image_hash)
            out_array.append((Image.open(BytesIO(image_data)), item["url"] + suffix))
        except base64.binascii.Error as e:
            raise ValueError(f"Invalid base64 string: {str(e)}")
        except Exception as e:
            raise ValueError(f"Error processing image: {str(e)}")

    try:
        response = requests.post(url=TOKEN_SERVER_URL + '/lookup-hashes', json={"hashes": hashes})
        out_array = [value for i, value in enumerate(out_array) if i not in response.json().get('res')]
    except:
        raise gr.Error("Token Server Error!")

    return out_array

def verify_token(token):
    try:
        response = requests.post(url=TOKEN_SERVER_URL + '/verify-token', json={"token": token})
        if response.json().get('status') == 'success':
            return PREMIUM_URL
        else:
            raise gr.Error("Invalid token! For free search, use empty string for token")
    except:
        raise gr.Error("Invalid token!")

def activate_token(token):
    try:
        requests.post(url=TOKEN_SERVER_URL + '/activate-token', json={"token": token})
    except:
        raise gr.Error("Invalid token!")
    
def get_image_base64(file):
    try:
        image = Image.open(file)
        return image_to_base64(image)
    except Exception as e:
        raise gr.Error("Please select image file!")    

def send_requests(url, file):
    with concurrent.futures.ThreadPoolExecutor() as executor:
        future1 = executor.submit(requests.post, url, headers={"X-RapidAPI-Key": API_KEY}, json={"image": get_image_base64(file)})
        if url == PREMIUM_URL:
            future2 = executor.submit(requests.post, PREMIUM_URL2, files={"image": open(file, 'rb')})
            response1 = future1.result()
            response2 = future2.result()
            return response1, response2
        else:
            response1 = future1.result()
            return response1, None

def process_response(response, soc_res, url, token):
    status_code = response.status_code

    if not soc_res:
        if status_code in STATUS_MESSAGES:
            gr.Info(STATUS_MESSAGES[status_code])

        if status_code > 300:
            return []

    try:
        res = response.json().get('img_array')
        if soc_res:
            res = soc_res[0] + res + soc_res[1]
        suffix = "" if url == PREMIUM_URL else FREE_SUFFIX
        out_array = check_db(res, suffix)

        if url == PREMIUM_URL:
            activate_token(token)

        return out_array
    except:
        raise gr.Error("Try again.")

def process_response2(response):
    if response.status_code == 200:
        part1 = response.json().get('part1')
        part2 = response.json().get('part2')

        if not part1 and not part2:
            return None
        return (part1, part2)
    return None

def search_face(file, token=None):
    url = FREE_URL
    if token:
        url = verify_token(token)

    response1, response2 = send_requests(url, file)
    soc_res = process_response2(response2) if response2 else None
    return process_response(response1, soc_res, url, token)

custom_css = """
caption.caption {
    user-select: text;
    cursor: text;
}
"""

js = """
function aff() {
const links = document.querySelectorAll('a');

const currentUrl = new URL(window.location.href);
const currentParams = currentUrl.searchParams.toString();

links.forEach(link => {
    const href = link.getAttribute('href');
    if (href && (href.startsWith('https://faceonlive.pocketsflow.com') || href.startsWith('https://faceonlive.com'))) {
        const targetUrl = new URL(href);
        // Append current page parameters to the link
        currentParams.split('&').forEach(param => {
            if (param) {
                const [key, value] = param.split('=');
                targetUrl.searchParams.set(key, value);
            }
        });
        link.setAttribute('href', targetUrl.toString());
        console.log(`Updated Link: ${targetUrl.toString()}`);
    }
});

  return ''
}
"""

head = """
<!-- Google tag (gtag.js) -->
<script async src="https://www.googletagmanager.com/gtag/js?id=G-8YPXF4536P"></script>
<script>
  window.dataLayer = window.dataLayer || [];
  function gtag(){dataLayer.push(arguments);}
  gtag('js', new Date());

  gtag('config', 'G-8YPXF4536P');
</script>
"""

with gr.Blocks(css=custom_css, head=head) as demo:
    gr.Markdown(
        """
    # Free Face Search Online
    #### [Discover more about our Face Search on our website.](https://faceonlive.com/face-search-online)
    <br>
    """
    )
    with gr.Row():
        with gr.Column(scale=1):
            image = gr.Image(type='filepath', height=480)
            token = gr.Textbox(placeholder="(Optional) Get Premium Token Below.", label="Premium Token")
            gr.HTML("<a href='https://faceonlive.pocketsflow.com/checkout?productId=676c15b1971244a587ca07cb' target='_blank'>Get Premium Token: Deep Search Including Social Media & Full URL Reveal</a>")            
            gr.HTML("<a href='https://faceonlive.pocketsflow.com/checkout?productId=676d7e7597f8b3b699f84820' target='_blank'>Protect Your Privacy – Start Your Takedown Now</a>")
            search_face_button = gr.Button("Search Face")
        with gr.Column(scale=2):
            output = gr.Gallery(label="Found Images", columns=[4], object_fit="contain", height="auto")
    
    gr.Examples(['examples/1.jpg', 'examples/2.jpg'], inputs=image, cache_examples=True, cache_mode='lazy', fn=search_face, outputs=[output])

    search_face_button.click(search_face, inputs=[image, token], outputs=[output], api_name=False)

    gr.HTML('<a href="https://visitorbadge.io/status?path=https%3A%2F%2Fhuggingface.co%2Fspaces%2FFaceOnLive%2FFace-Search-Online"><img src="https://api.visitorbadge.io/api/visitors?path=https%3A%2F%2Fhuggingface.co%2Fspaces%2FFaceOnLive%2FFace-Search-Online&labelColor=%23ff8a65&countColor=%2337d67a&style=flat&labelStyle=upper" /></a>')
    html = gr.HTML()
    demo.load(None, inputs=None, outputs=html, js=js)

demo.queue(api_open=False, default_concurrency_limit=4).launch(server_name="0.0.0.0", server_port=7860, show_api=False)