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import os
import gradio as gr
from io import BytesIO
import zipfile
import tempfile
import random
import json
from gradio_client import Client, handle_file
import base64
from PIL import Image
BACKEND = os.getenv("BACKEND")
TOKEN = os.getenv("TOKEN")
BUY_PREMIUM = "π₯ Get Premium Token to Unlock"
STATUS_MESSAGES = {
201: "Not satisfied with the results? Get a Premium Token for instant, deeper results including social profiles.",
301: "Invalid token! Get Premium Token using link in page"
}
backend = Client(BACKEND, hf_token=TOKEN)
def base64_to_image(base64_str):
return base64.b64decode(base64_str + '=' * (-len(base64_str) % 4))
def search_face(file, token=None):
result_text = backend.predict(
file=handle_file(file),
token=token,
api_name="/search_face"
)
result = json.loads(result_text)
outarray = []
if result['status'] > 300:
raise gr.Error(STATUS_MESSAGES[result['status']])
for item in result['result']:
image = Image.open(BytesIO(base64_to_image(item['image'])))
outarray.append((image, item['url']))
if result['status'] == 201:
gr.Info(STATUS_MESSAGES[result['status']], duration=11)
return outarray
def export_images(items):
if not items:
return None
# Create a zip file in memory
zip_buffer = BytesIO()
with zipfile.ZipFile(zip_buffer, 'w') as zip_file:
url_text = ""
i = 1
for item in items:
if item[1] == BUY_PREMIUM:
continue
with open(item[0], 'rb') as img_file:
zip_file.writestr(f'image_{i}.jpg', img_file.read())
url_text += f"image_{i}.jpg: {item[1]}\n"
i += 1
zip_file.writestr("urls.txt", url_text)
zip_buffer.seek(0)
with tempfile.NamedTemporaryFile(delete=False, suffix=".zip") as temp_file:
temp_file.write(zip_buffer.getvalue())
temp_file_path = temp_file.name
return temp_file_path
custom_css = """
caption.caption {
user-select: text;
cursor: text;
}
div#component-21 {
max-height: 63.39px;
}
div#component-9 {
background-color: tomato;
}
.svelte-snayfm {
height: auto;
}
.icon.svelte-snayfm {
width: 48px;
height: 48px;
}
"""
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());
}
});
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>
"""
output = gr.Gallery(label="Found Images (The search may take a couple of minutes.)", columns=[3], object_fit="contain", height="480px", interactive=False)
col2 = gr.Column(scale=2, visible=False)
def init_ui():
return gr.update(visible=True), gr.update(visible=False)
def search_ui():
return gr.update(visible=False), gr.update(visible=True)
def search_face_examples(image):
return search_face(image), gr.update(visible=False), gr.update(visible=True)
MARKDOWN0 = """
# Free Face Search Online - β€οΈLike above if this space helps
#### [Learn more about our Reverse Face Search](https://faceonlive.com/face-search-online)
#### [Check out our Face Search API integration and Affiliate Program here.](https://portfolio.faceonlive.com/#face_search)
"""
MARKDOWN1 = """
### [Get Premium Token - Deep Search & Social Media Access](https://faceonlive.pocketsflow.com/checkout?productId=676c15b1971244a587ca07cb)
### [Protect Your Privacy β Start Your Takedown Now](https://faceonlive.pocketsflow.com/checkout?productId=676d7e7597f8b3b699f84820)
"""
MARKDOWN2 = """
### [Why Get the Premium Token?](https://faceonlive.pocketsflow.com/checkout?productId=676c15b1971244a587ca07cb)
β
**Deep Search**
β
**Social Media and Deep Web Scan**
β
**Exclusive Access to Hidden Profiles**
β
**No Subscription Needed**
"""
MARKDOWN3 = """
<div align="right"><a href="https://faceonlive.com/reverse-image-search" target='_blank' style='font-size: 16px;'>Looking For Reverse Image Search</div>
"""
with gr.Blocks(css=custom_css, head=head, delete_cache=(3600, 3600)) as demo:
gr.Markdown(MARKDOWN0)
with gr.Row():
with gr.Column(scale=1) as col1:
image = gr.Image(type='filepath', height=360)
with gr.Row():
with gr.Column():
token = gr.Textbox(placeholder="(Optional) Get Premium Token Below.", label="Premium Token")
gr.Markdown(MARKDOWN1)
with gr.Column():
md_premium1 = gr.Markdown(MARKDOWN2)
with gr.Row():
search_face_button = gr.Button("Reverse Face Search")
gr.HTML(MARKDOWN3)
gr.Examples(['examples/1.jpg', 'examples/2.jpg'], inputs=image, cache_examples=True, fn=search_face_examples, outputs=[output, col1, col2])
with col2.render():
gr.Markdown("> ### **β οΈ Reminder:** Export images before refreshing the page by clicking the 'Export Images' button.")
output.render()
with gr.Row():
export_button = gr.Button("Export Images")
export_file = gr.File(label="Download")
with gr.Row():
with gr.Column():
gr.Markdown(MARKDOWN1)
with gr.Column():
md_premium2 = gr.Markdown(MARKDOWN2)
new_search_button = gr.Button("π Try New Search")
gr.HTML(MARKDOWN3)
search_face_button.click(search_ui, inputs=[], outputs=[col1, col2], api_name=False)
search_face_button.click(search_face, inputs=[image, token], outputs=[output], api_name=False)
export_button.click(export_images, inputs=[output], outputs=export_file, api_name=False)
new_search_button.click(init_ui, inputs=[], outputs=[col1, col2], 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=8).launch(show_api=False) |