Delete app.py

app.py

@@ -1,129 +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
-from io import BytesIO
-
-BACKEND = os.getenv("BACKEND")
-JS2 = os.getenv("JS2")
-MAIN_HTML = os.getenv("MAIN_HTML")
-MAIN_JS = os.getenv("MAIN_JS")
-HEAD_HTML = os.getenv("HEAD_HTML")
-CSS = os.getenv("CSS")
-USER = os.getenv("USER")
-PASS = os.getenv("PASS")
-
-STATUS_MESSAGES = {
-    301: "Invalid Premium ID!"
-}
-
-backend = Client(BACKEND, auth=[USER, PASS])
-
-def base64_to_image(base64_str):
-    if ";base64," in base64_str:
-        base64_str = base64_str.split(";base64,")[1].strip()
-    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 base64_to_image(base64_str):
-    if ";base64," in base64_str:
-        base64_str = base64_str.split(";base64,")[1].strip()
-    image_data = base64.b64decode(base64_str + '=' * (-len(base64_str) % 4))
-    image = Image.open(BytesIO(image_data)).convert('RGB')
-    buffer = BytesIO()
-    image.save(buffer, format="JPEG", quality=90)
-    buffer.seek(0)
-    return buffer.read()
-
-def search_image(base64_image, token_txt, request: gr.Request):
-    global backend
-    with tempfile.NamedTemporaryFile(delete=False, suffix=".png") as temp_file:
-        try:
-            temp_file.write(base64_to_image(base64_image))
-            file = temp_file.name
-            file1 = handle_file(file)
-        except Exception as e:
-            print(e)
-            gr.Info("Please upload an image file.")
-            return []
-
-        if token_txt == "" and if_limited(request):
-            gr.Info("⏳ Wait for your next free search, or 🚀 Go Premium Search at https://faceseek.online!", duration=10)
-            return []
-
-        try:
-            result_text = backend.predict(
-                file=file1,
-                token=token_txt, 
-                api_name="/search_face"
-            )
-        except:
-            backend = Client(BACKEND, auth=[USER, PASS])
-            result_text = backend.predict(
-                file=file1,
-                token=token_txt, 
-                api_name="/search_face"
-            )
-
-        result = json.loads(result_text)
-        outarray = []
-        if result['status'] > 300:
-            gr.Info(STATUS_MESSAGES[result['status']], duration=10)
-            return '{"result": []}'
-    return result_text
-
-with gr.Blocks(css=CSS, head=HEAD_HTML, title="FaceSeek - Face Search Online") as iface:
-    html = gr.HTML(MAIN_HTML, max_height=720)
-    base64_txt = gr.Textbox(label="Base64-Image", elem_id="base64_image", visible=False)
-    token_txt = gr.Textbox(label="Token-Text", elem_id="premium_token", visible=False)
-    out_txt = gr.Textbox(label="Result", visible=False)
-
-    search_button = gr.Button("🔍 Free Face Search", elem_id="search_btn", visible=False)
-
-    search_button.click(search_image, inputs=[base64_txt, token_txt], outputs=out_txt).success(None, inputs=[out_txt], js=JS2)
-    iface.load(None, inputs=None, outputs=html, js=MAIN_JS)
-
-# Launch the interface
-iface.launch()