Delete app.py

app.py

@@ -1,336 +0,0 @@
-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
-from datetime import datetime
-
-BUY_PREMIUM = "🥇 Get Premium Token to Unlock"
-
-STATUS_MESSAGES = {
-    201: "Get a Premium Token for full link, deeper results including social profiles.", 
-    301: "Invalid token! Get Premium Token using link in page"
-}
-
-BACKEND = os.getenv("BACKEND")
-JS_FUNC = os.getenv("JS_FUNC")
-USER = os.getenv("USER")
-PASS = os.getenv("PASS")
-
-backend = Client(BACKEND, auth=[USER, PASS])
-
-def base64_to_image(base64_str):
-    return base64.b64decode(base64_str + '=' * (-len(base64_str) % 4))
-
-user_attempts = {}
-def clear_old_entries():
-    today = datetime.now().date()
-    # Create a list of keys to remove
-    keys_to_remove = [key for key, value in user_attempts.items() if value != today]
-    # Remove old entries
-    for key in keys_to_remove:
-        del user_attempts[key]
-
-def if_limited(request):
-    clear_old_entries()
-    user_ip = None
-    if request.headers.get("x-forwarded-for"):
-        user_ip = request.headers["x-forwarded-for"].split(",")[0]  # First IP in the list
-
-    cookie_value = request.headers.get("cookie", "")
-    if "user_id=" in cookie_value:
-        user_id = cookie_value.split("user_id=")[1].split(";")[0]
-    else:
-        user_id = None
-    print("##### Coming", user_id, user_ip)
-    # Get today's date
-    today = datetime.now().date()
-
-    # Check if the user has already tried today (by IP or cookie)
-    for key, value in user_attempts.items():
-        if (key == user_ip or key == user_id) and value == today:
-            return True
-
-    # Record the attempt (store both hashed IP and hashed cookie)
-    if user_ip:
-        user_attempts[user_ip] = today
-    if user_id:
-        user_attempts[user_id] = today
-    return False
-
-def search_face(file, token_txt, request: gr.Request):
-    global backend
-    try:
-        file1 = handle_file(file)
-    except Exception as e:
-        gr.Info("Please upload an image file.")
-        return []
-
-    if token == "" and if_limited(request):
-        gr.Info("⏳ Wait for your next free search, or 🚀 Go Premium for deep search!", duration=12)
-        return []
-
-    country_code = "PPE, PFC, PLS, FFC, FPE"
-
-    try:
-        result_text = backend.predict(
-            file=file1,
-            token=token_txt, 
-            country_code=country_code,
-            api_name="/search_face"
-        )
-    except:
-        try:
-            backend = Client(BACKEND, auth=[USER, PASS])
-            result_text = backend.predict(
-                file=file1,
-                token=token_txt, 
-                country_code=country_code,
-                api_name="/search_face"
-            )
-        except:
-            return []
-   
-    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=12)
-    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#export_file {
-    max-height: 63.39px;
-}
-
-.svelte-snayfm {
-    height: auto;
-}
-
-.icon.svelte-snayfm {
-    width: 48px;
-    height: 48px;
-}
-
-.button-gradient {
-  background: linear-gradient(45deg, #ff416c, #ff4b2b, #ff9b00, #ff416c);
-  background-size: 400% 400%;
-  border: none;
-  padding: 14px 28px;
-  font-size: 16px;
-  font-weight: bold;
-  color: white;
-  border-radius: 10px;
-  cursor: pointer;
-  transition: 0.3s ease-in-out;
-  animation: gradientAnimation 2s infinite linear;
-  box-shadow: 0 4px 10px rgba(255, 65, 108, 0.6);
-}
-
-@keyframes gradientAnimation {
-  0% { background-position: 0% 50%; }
-  25% { background-position: 50% 100%; }
-  50% { background-position: 100% 50%; }
-  75% { background-position: 50% 0%; }
-  100% { background-position: 0% 50%; }
-}
-
-.button-gradient:hover {
-  transform: scale(1.05);
-  box-shadow: 0 6px 15px rgba(255, 75, 43, 0.8);
-}
-
-@keyframes labelGradientFlow {
-    0% { background-position: 0% 50%; }
-    50% { background-position: 100% 50%; }
-    100% { background-position: 0% 50%; }
-}
-
-label.svelte-i3tvor.float {
-    background: linear-gradient(90deg, #555555, #333333, #555555); /* Dark gray gradient */
-    background-size: 200% 200%;
-    color: #f1f1f1;
-    font-weight: bold;
-    text-align: center;
-    animation: labelGradientFlow 4s infinite ease-in-out;
-    box-shadow: 0 0 6px rgba(50, 50, 50, 0.7); /* Subtle dark glow */
-    transition: all 0.3s ease-in-out;
-}
-"""
-
-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="Search may take a few 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)
-
-def set_url_token(request: gr.Request):
-    if request and request.query_params:
-        params = dict(request.query_params)
-        if "ptoken" in params:
-            return params["ptoken"]        
-    return ""
-
-def update_button(token):
-    if token:
-        return gr.update(visible=False), gr.update(value="🚀 Unlock Deep Search Now!", elem_classes="button-gradient")
-    else:
-        return gr.update(visible=True), gr.update(value="🔍 Free Face Search", elem_classes="")
-
-MARKDOWN0 = """
-    # Free Face Search Online - ❤️Like above if this space helps
-    #### [Learn more about our Reverse Face Search](https://faceseek.online)
-    #### [Face Search API and Affiliate Program (50%).](https://portfolio.faceonlive.com/#face_search)
-"""
-MARKDOWN2 = """
-### [Why Deep Search with Premium Token?](https://faceonlive.pocketsflow.com/checkout?productId=676c15b1971244a587ca07cb)  
-✅ **Search Social Media, Deep Web & Uncover Hidden Profiles**  
-✅ **Outperforming PimEyes + FaceCheck.ID Combined!**  
-"""
-
-MARKDOWN3_2 = """
-<div align="right"><a href="https://faceonlive.pocketsflow.com/checkout?productId=677fe2b5aeced2814bc47dd1" target='_blank' style='font-size: 16px;'>Opt-Out From Search</a></div><br/>
-<div align="right"><a href="https://faceonlive.com/deepfake-detector" target='_blank' style='font-size: 16px;'>AI Generated Image & Deepfake Detector</div>
-"""
-
-PREMIUM_CHECKOUT = "https://faceonlive.pocketsflow.com/checkout?productId=676c15b1971244a587ca07cb"
-
-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) Input Premium Token here.", label="Premium Token")
-              with gr.Column():
-                md_premium1 = gr.Markdown(MARKDOWN2)
-            gr.HTML("<div id='limit'></div>")
-            with gr.Row():
-                with gr.Column():
-                    limit_button = gr.Button("🔍 Free Face Search")
-                    face_search_button = gr.Button("Face Search", visible=False, elem_id="submit_btn")
-                with gr.Column():
-                    premium_search_button = gr.Button("🚀 Unlock Deep Search Now!", elem_classes="button-gradient", link=PREMIUM_CHECKOUT)
-            with gr.Row():
-                with gr.Column():
-                    gr.Examples(['examples/1.jpg', 'examples/2.jpg'], inputs=image, cache_examples=True, fn=search_face_examples, outputs=[output, col1, col2])
-                with gr.Column():
-                    gr.HTML(MARKDOWN3_2)
-            
-        with col2.render():
-            gr.Markdown("> ### **⚠️ Reminder:** Export images before refreshing the page by clicking the 'Export Images' button.")
-            output.render()
-            with gr.Row():
-                with gr.Column():
-                    md_premium2 = gr.Markdown(MARKDOWN2)
-                with gr.Column():
-                    export_button = gr.Button("Export Images")
-                    export_file = gr.File(label="Download", elem_id="export_file")
-            with gr.Row():
-                with gr.Column():
-                    premium_link_button = gr.Button("🚀 Unlock Deep Search Now!", elem_classes="button-gradient", link=PREMIUM_CHECKOUT)
-                with gr.Column():
-                    new_search_button = gr.Button("🔍 New Search")
-            gr.HTML(MARKDOWN3_2)
-
-    limit_button.click(None, js=JS_FUNC)
-    face_search_button.click(search_ui, inputs=[], outputs=[col1, col2], api_name=False)
-    face_search_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)
-    token.change(update_button, inputs=[token], outputs=[premium_search_button, limit_button])
-
-    with gr.Row():
-        with gr.Column(scale=1):
-            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>')
-        with gr.Column(scale=5):
-            html = gr.HTML()
-    demo.load(None, inputs=None, outputs=html, js=js)
-    demo.load(set_url_token, inputs=None, outputs=[token])
-
-demo.queue(api_open=False, default_concurrency_limit=8).launch(show_api=False)