flxloraexp

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ginipick commited on Jul 22

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2b17ff6

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1 Parent(s): 47115f3

Update app.py

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@@ -1,370 +1,562 @@
-import os
-import gradio as gr
-import json
-import logging
-import torch
-from PIL import Image
-import spaces
-from diffusers import DiffusionPipeline, AutoencoderTiny, AutoencoderKL
-from live_preview_helpers import calculate_shift, retrieve_timesteps, flux_pipe_call_that_returns_an_iterable_of_images
-from huggingface_hub import hf_hub_download, HfFileSystem, ModelCard, snapshot_download
-import copy
-import random
-import time
-from transformers import pipeline
-import sqlite3
-from datetime import datetime
-# 데이터베이스 초기화
-def init_db():
-    conn = sqlite3.connect('gallery.db')
-    c = conn.cursor()
-    c.execute('''CREATE TABLE IF NOT EXISTS images
-                 (id INTEGER PRIMARY KEY AUTOINCREMENT,
-                  model_name TEXT,
-                  prompt TEXT,
-                  image_path TEXT,
-                  created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP)''')
-    conn.commit()
-    conn.close()
-# 이미지 저장 함수
-def save_image(image, model_name, prompt):
-    timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
-    filename = f"gallery_{timestamp}.png"
-    image.save(os.path.join("gallery", filename))
-    conn = sqlite3.connect('gallery.db')
-    c = conn.cursor()
-    c.execute("INSERT INTO images (model_name, prompt, image_path) VALUES (?, ?, ?)",
-              (model_name, prompt, filename))
-    conn.commit()
-    conn.close()
-# 갤러리 이미지 로드 함수
-def load_gallery_images():
-    conn = sqlite3.connect('gallery.db')
-    c = conn.cursor()
-    c.execute("SELECT model_name, prompt, image_path FROM images ORDER BY created_at DESC")
-    rows = c.fetchall()
-    conn.close()
-    return [(os.path.join("gallery", row[2]), f"{row[0]}: {row[1]}") for row in rows]
-# CPU에서 실행되는 번역기 초기화
-translator = pipeline("translation", model="Helsinki-NLP/opus-mt-ko-en", device=-1)
-# 프롬프트 처리 함수
-def process_prompt(prompt):
-    if any('\u3131' <= char <= '\u3163' or '\uac00' <= char <= '\ud7a3' for char in prompt):
-        translated = translator(prompt)[0]['translation_text']
-        return prompt, translated
-    return prompt, prompt
-KEY_JSON = os.getenv("KEY_JSON")
-with open(KEY_JSON, 'r') as f:
-    loras = json.load(f)
-# 기본 모델 초기화
-dtype = torch.bfloat16
-device = "cuda" if torch.cuda.is_available() else "cpu"
-base_model = "black-forest-labs/FLUX.1-dev"
-taef1 = AutoencoderTiny.from_pretrained("madebyollin/taef1", torch_dtype=dtype).to(device)
-good_vae = AutoencoderKL.from_pretrained(base_model, subfolder="vae", torch_dtype=dtype).to(device)
-pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=dtype, vae=taef1).to(device)
-MAX_SEED = 2**32-1
-pipe.flux_pipe_call_that_returns_an_iterable_of_images = flux_pipe_call_that_returns_an_iterable_of_images.__get__(pipe)
-class calculateDuration:
-    def __init__(self, activity_name=""):
-        self.activity_name = activity_name
-    def __enter__(self):
-        self.start_time = time.time()
-        return self
-    def __exit__(self, exc_type, exc_value, traceback):
-        self.end_time = time.time()
-        self.elapsed_time = self.end_time - self.start_time
-        if self.activity_name:
-            print(f"Elapsed time for {self.activity_name}: {self.elapsed_time:.6f} seconds")
-        else:
-            print(f"Elapsed time: {self.elapsed_time:.6f} seconds")
-def update_selection(evt: gr.SelectData, width, height):
-    selected_lora = loras[evt.index]
-    new_placeholder = f"{selected_lora['title']}를 위한 프롬프트를 입력하세요"
-    lora_repo = selected_lora["repo"]
-    updated_text = f"### 선택됨: [{lora_repo}](https://huggingface.co/{lora_repo}) ✨"
-    if "aspect" in selected_lora:
-        if selected_lora["aspect"] == "portrait":
-            width = 768
-            height = 1024
-        elif selected_lora["aspect"] == "landscape":
-            width = 1024
-            height = 768
-        else:
-            width = 1024
-            height = 1024
-    return (
-        gr.update(placeholder=new_placeholder),
-        updated_text,
-        evt.index,
-        width,
-        height,
-    )
-@spaces.GPU(duration=70)
-def generate_image(prompt_mash, steps, seed, cfg_scale, width, height, lora_scale, progress):
-    pipe.to("cuda")
-    generator = torch.Generator(device="cuda").manual_seed(seed)
-    with calculateDuration("이미지 생성"):
-        # Generate image
-        for img in pipe.flux_pipe_call_that_returns_an_iterable_of_images(
-            prompt=prompt_mash,
-            num_inference_steps=steps,
-            guidance_scale=cfg_scale,
-            width=width,
-            height=height,
-            generator=generator,
-            joint_attention_kwargs={"scale": lora_scale},
-            output_type="pil",
-            good_vae=good_vae,
-        ):
-            yield img
-@spaces.GPU(duration=70)
-def run_lora(prompt, cfg_scale, steps, selected_index, randomize_seed, seed, width, height, lora_scale, progress=gr.Progress(track_tqdm=True)):
-    if selected_index is None:
-        raise gr.Error("진행하기 전에 LoRA를 선택해야 합니다.")
-    original_prompt, english_prompt = process_prompt(prompt)
-    selected_lora = loras[selected_index]
-    lora_path = selected_lora["repo"]
-    trigger_word = selected_lora["trigger_word"]
-    if(trigger_word):
-        if "trigger_position" in selected_lora:
-            if selected_lora["trigger_position"] == "prepend":
-                prompt_mash = f"{trigger_word} {english_prompt}"
-            else:
-                prompt_mash = f"{english_prompt} {trigger_word}"
-        else:
-            prompt_mash = f"{trigger_word} {english_prompt}"
-    else:
-        prompt_mash = english_prompt
-    with calculateDuration("LoRA 언로드"):
-        pipe.unload_lora_weights()
-    # LoRA 가중치 로드
-    with calculateDuration(f"{selected_lora['title']}의 LoRA 가중치 로드"):
-        if "weights" in selected_lora:
-            pipe.load_lora_weights(lora_path, weight_name=selected_lora["weights"])
-        else:
-            pipe.load_lora_weights(lora_path)
-    # 재현성을 위한 시드 설정
-    with calculateDuration("시드 무작위화"):
-        if randomize_seed:
-            seed = random.randint(0, MAX_SEED)
-    image_generator = generate_image(prompt_mash, steps, seed, cfg_scale, width, height, lora_scale, progress)
-    # 최종 이미지를 얻기 위해 제너레이터 소비
-    final_image = None
-    step_counter = 0
-    for image in image_generator:
-        step_counter+=1
-        final_image = image
-        progress_bar = f'<div class="progress-container"><div class="progress-bar" style="--current: {step_counter}; --total: {steps};"></div></div>'
-        yield image, seed, gr.update(value=progress_bar, visible=True), original_prompt, english_prompt
-    # 갤러리에 이미지 저장
-    save_image(final_image, selected_lora['title'], original_prompt)
-    yield final_image, seed, gr.update(value=progress_bar, visible=False), original_prompt, english_prompt
-def get_huggingface_safetensors(link):
-    split_link = link.split("/")
-    if(len(split_link) == 2):
-        model_card = ModelCard.load(link)
-        base_model = model_card.data.get("base_model")
-        print(base_model)
-        if((base_model != "black-forest-labs/FLUX.1-dev") and (base_model != "black-forest-labs/FLUX.1-schnell")):
-            raise Exception("Not a FLUX LoRA!")
-        image_path = model_card.data.get("widget", [{}])[0].get("output", {}).get("url", None)
-        trigger_word = model_card.data.get("instance_prompt", "")
-        image_url = f"https://huggingface.co/{link}/resolve/main/{image_path}" if image_path else None
-        fs = HfFileSystem()
-        try:
-            list_of_files = fs.ls(link, detail=False)
-            for file in list_of_files:
-                if(file.endswith(".safetensors")):
-                    safetensors_name = file.split("/")[-1]
-                if (not image_url and file.lower().endswith((".jpg", ".jpeg", ".png", ".webp"))):
-                    image_elements = file.split("/")
-                    image_url = f"https://huggingface.co/{link}/resolve/main/{image_elements[-1]}"
-        except Exception as e:
-            print(e)
-            gr.Warning(f"You didn't include a link neither a valid Hugging Face repository with a *.safetensors LoRA")
-            raise Exception(f"You didn't include a link neither a valid Hugging Face repository with a *.safetensors LoRA")
-        return split_link[1], link, safetensors_name, trigger_word, image_url
-def check_custom_model(link):
-    if(link.startswith("https://")):
-        if(link.startswith("https://huggingface.co") or link.startswith("https://www.huggingface.co")):
-            link_split = link.split("huggingface.co/")
-            return get_huggingface_safetensors(link_split[1])
-    else:
-        return get_huggingface_safetensors(link)
-def add_custom_lora(custom_lora):
-    global loras
-    if(custom_lora):
-        try:
-            title, repo, path, trigger_word, image = check_custom_model(custom_lora)
-            print(f"Loaded custom LoRA: {repo}")
-            card = f'''
-            <div class="custom_lora_card">
-              <span>Loaded custom LoRA:</span>
-              <div class="card_internal">
-                <img src="{image}" />
-                <div>
-                    <h3>{title}</h3>
-                    <small>{"Using: <code><b>"+trigger_word+"</code></b> as the trigger word" if trigger_word else "No trigger word found. If there's a trigger word, include it in your prompt"}<br></small>
-                </div>
-              </div>
-            </div>
-            '''
-            existing_item_index = next((index for (index, item) in enumerate(loras) if item['repo'] == repo), None)
-            if(not existing_item_index):
-                new_item = {
-                    "image": image,
-                    "title": title,
-                    "repo": repo,
-                    "weights": path,
-                    "trigger_word": trigger_word
-                }
-                print(new_item)
-                existing_item_index = len(loras)
-                loras.append(new_item)
-            return gr.update(visible=True, value=card), gr.update(visible=True), gr.Gallery(selected_index=None), f"Custom: {path}", existing_item_index, trigger_word
-        except Exception as e:
-            gr.Warning(f"Invalid LoRA: either you entered an invalid link, or a non-FLUX LoRA")
-            return gr.update(visible=True, value=f"Invalid LoRA: either you entered an invalid link, a non-FLUX LoRA"), gr.update(visible=True), gr.update(), "", None, ""
-    else:
-        return gr.update(visible=False), gr.update(visible=False), gr.update(), "", None, ""
-def remove_custom_lora():
-    return gr.update(visible=False), gr.update(visible=False), gr.update(), "", None, ""
-run_lora.zerogpu = True
-css = """
-footer {
-    visibility: hidden;
 }
-"""
-# 갤러리 디렉토리 생성
-if not os.path.exists('gallery'):
-    os.makedirs('gallery')
-# 데이터베이스 초기화
-init_db()
-with gr.Blocks(theme="Yntec/HaleyCH_Theme_Orange", css=css) as app:
-    selected_index = gr.State(None)
-    with gr.Tabs():
-        with gr.TabItem("생성"):
-            with gr.Row():
-                with gr.Column(scale=3):
-                    prompt = gr.Textbox(label="프롬프트", lines=1, placeholder="LoRA를 선택한 후 프롬프트를 입력하세요 (한글 또는 영어)")
-                with gr.Column(scale=1, elem_id="gen_column"):
-                    generate_button = gr.Button("생성", variant="primary", elem_id="gen_btn")
-            with gr.Row():
-                with gr.Column():
-                    selected_info = gr.Markdown("")
-                    gallery = gr.Gallery(
-                        [(item["image"], item["title"]) for item in loras],
-                        label="LoRA 갤러리",
-                        allow_preview=False,
-                        columns=5,
-                        elem_id="gallery"
-                    )
-                    with gr.Group():
-                        custom_lora = gr.Textbox(label="커스텀 LoRA", info="LoRA Hugging Face 경로", placeholder="multimodalart/vintage-ads-flux")
-                        gr.Markdown("[FLUX LoRA 목록 확인](https://huggingface.co/models?other=base_model:adapter:black-forest-labs/FLUX.1-dev)", elem_id="lora_list")
-                    custom_lora_info = gr.HTML(visible=False)
-                    custom_lora_button = gr.Button("커스텀 LoRA 제거", visible=False)
-                with gr.Column():
-                    progress_bar = gr.Markdown(elem_id="progress",visible=False)
-                    result = gr.Image(label="생성된 이미지")
-                    original_prompt_display = gr.Textbox(label="원본 프롬프트")
-                    english_prompt_display = gr.Textbox(label="영어 프롬프트")
-            with gr.Row():
-                with gr.Accordion("고급 설정", open=False):
-                    with gr.Column():
-                        with gr.Row():
-                            cfg_scale = gr.Slider(label="CFG 스케일", minimum=1, maximum=20, step=0.5, value=3.5)
-                            steps = gr.Slider(label="스텝", minimum=1, maximum=50, step=1, value=28)
-                        with gr.Row():
-                            width = gr.Slider(label="너비", minimum=256, maximum=1536, step=64, value=1024)
-                            height = gr.Slider(label="높이", minimum=256, maximum=1536, step=64, value=1024)
-                        with gr.Row():
-                            randomize_seed = gr.Checkbox(True, label="시드 무작위화")
-                            seed = gr.Slider(label="시드", minimum=0, maximum=MAX_SEED, step=1, value=0, randomize=True)
-                            lora_scale = gr.Slider(label="LoRA 스케일", minimum=0, maximum=3, step=0.01, value=0.95)
-        with gr.TabItem("갤러리"):
-            gallery_images = gr.Gallery(
-                load_gallery_images(),
-                label="생성된 이미지 갤러리",
-                columns=3,
-                rows=3,
-                height="auto"
-            )
-            refresh_button = gr.Button("갤러리 새로고침")
-    gallery.select(
-        update_selection,
-        inputs=[width, height],
-        outputs=[prompt, selected_info, selected_index, width, height]
-    )
-    custom_lora.input(
-        add_custom_lora,
-        inputs=[custom_lora],
-        outputs=[custom_lora_info, custom_lora_button, gallery, selected_info, selected_index, prompt]
-    )
-    custom_lora_button.click(
-        remove_custom_lora,
-        outputs=[custom_lora_info, custom_lora_button, gallery, selected_info, selected_index, custom_lora]
-    )
-    gr.on(
-        triggers=[generate_button.click, prompt.submit],
-        fn=run_lora,
-        inputs=[prompt, cfg_scale, steps, selected_index, randomize_seed,
-                seed, width, height, lora_scale],
-        outputs=[result, seed, progress_bar, original_prompt_display, english_prompt_display]
-    )
-    refresh_button.click(
-        lambda: gr.update(value=load_gallery_images()),
-        outputs=[gallery_images]
-    )
-app.queue()
-app.launch()

+from flask import Flask, render_template, request, jsonify
+import os, re, json
+app = Flask(__name__)
+# ────────────────────────── 1. CONFIGURATION ──────────────────────────
+# Domains that commonly block iframes
+BLOCKED_DOMAINS = [
+    "naver.com", "daum.net", "google.com",
+    "facebook.com", "instagram.com", "kakao.com",
+    "ycombinator.com"
+]
+# ────────────────────────── 2. CURATED CATEGORIES ──────────────────────────
+CATEGORIES = {
+    "Popular": [
+        "https://huggingface.co/spaces/openfree/AGI-Screenplay",
+        "https://huggingface.co/spaces/openfree/AGI-WebNovel",
+        "https://huggingface.co/spaces/openfree/AGI-NOVEL",
+        "https://huggingface.co/spaces/fantaxy/AGI-LEADERBOARD",
+        "https://cutechicken-3d-airforce-simulator.static.hf.space",
+        "https://huggingface.co/spaces/ginipick/Private-AI",
+        "https://huggingface.co/spaces/fantaxy/ofai-flx-logo",
+        "https://huggingface.co/spaces/aiqtech/FLUX-Ghibli-Studio-LoRA",
+        "https://huggingface.co/spaces/seawolf2357/REALVISXL-V5",
+        "https://huggingface.co/spaces/fantos/flx8lora",
+        "https://huggingface.co/spaces/ginipick/Realtime-FLUX",
+        "https://huggingface.co/spaces/fantaxy/flx-pulid",
+        "https://huggingface.co/spaces/ginipick/FLUX-Prompt-Generator",
+        "https://huggingface.co/spaces/aiqtech/kofaceid",
+        "https://huggingface.co/spaces/aiqtech/flxgif",
+        "https://huggingface.co/spaces/fantos/flxfashmodel",
+        "https://huggingface.co/spaces/fantos/flxcontrol",
+        "https://huggingface.co/spaces/fantos/textcutobject",
+        "https://huggingface.co/spaces/seawolf2357/flxloraexp",
+        "https://huggingface.co/spaces/fantaxy/flxloraexp",
+        "https://huggingface.co/spaces/aiqtech/imaginpaint",
+        "https://huggingface.co/spaces/ginipick/FLUXllama",
+        "https://huggingface.co/spaces/Heartsync/NSFW-Uncensored",
+        "https://huggingface.co/spaces/fantaxy/flx-upscale",
+        "https://huggingface.co/spaces/Heartsync/NSFW-Uncensored-video",
+        "https://huggingface.co/spaces/fantos/VoiceClone",
+        "https://huggingface.co/spaces/fantaxy/Rolls-Royce",
+        "https://huggingface.co/spaces/aiqtech/FLUX-military",
+        "https://huggingface.co/spaces/fantaxy/FLUX-Animations",
+        "https://huggingface.co/spaces/Heartsync/NSFW-Uncensored-video2",
+        "https://huggingface.co/spaces/Heartsync/NSFW-Uncensored-photo",
+        "https://huggingface.co/spaces/ginipick/Time-Stream",
+        "https://huggingface.co/spaces/seawolf2357/sd-prompt-gen",
+        "https://huggingface.co/spaces/openfree/MagicFace-V3",
+        "https://huggingface.co/spaces/Heartsync/adult",
+        "https://huggingface.co/spaces/Heartsync/wan2-1-fast-security",
+        "https://huggingface.co/spaces/Heartsync/NSFW-Uncensored-REAL",
+        "https://huggingface.co/spaces/seawolf2357/img2vid",
+        "https://huggingface.co/spaces/openfree/image-to-vector",
+        "https://huggingface.co/spaces/openfree/DreamO-video",
+        "https://huggingface.co/spaces/VIDraft/FramePack_rotate_landscape",
+        "https://huggingface.co/spaces/fantaxy/Sound-AI-SFX",
+        "https://huggingface.co/spaces/ginigen/VoiceClone-TTS",
+        "https://huggingface.co/spaces/Heartsync/FREE-NSFW-HUB",
+        "https://huggingface.co/spaces/Heartsync/NSFW-image",
+        "https://huggingface.co/spaces/Heartsync/NSFW-detection",
+        "https://huggingface.co/spaces/Heartsync/VEO3-RealTime",
+        "https://huggingface.co/spaces/ginigen/VEO3-Free",
+        "https://huggingface.co/spaces/ginigen/FLUX-Text-Tree-Image",
+        "https://huggingface.co/spaces/ginigen/text3d-r1",
+        "https://huggingface.co/spaces/VIDraft/stable-diffusion-3.5-large-turboX",
+    ],
+    "BEST": [
+        "https://huggingface.co/spaces/MaziyarPanahi/FACTS-Leaderboard",
+        "https://huggingface.co/spaces/ginigen/Flux-Kontext-Style",
+        "https://huggingface.co/spaces/openfree/Cycle-Navigator",
+        "https://huggingface.co/spaces/ginigen/Flux-Kontext-FaceLORA",
+        "https://huggingface.co/spaces/ginigen/Seedance-Free",
+        "https://huggingface.co/spaces/VIDraft/SOMA-AGI",
+        "https://huggingface.co/spaces/aiqtech/Heatmap-Leaderboard",
+        "https://huggingface.co/spaces/VIDraft/DNA-CASINO",
+        "https://huggingface.co/spaces/aiqtech/SOMA-Oriental",
+        "https://huggingface.co/spaces/fantaxy/YTB-TEST",
+        "https://huggingface.co/spaces/aiqtech/Contributors-Leaderboard",
+        "https://huggingface.co/spaces/ginigen/text3d-r1",
+        "https://huggingface.co/spaces/VIDraft/stable-diffusion-3.5-large-turboX",
+        "https://huggingface.co/spaces/openfree/Korean-Leaderboard",
+        "https://huggingface.co/spaces/fantos/flxcontrol",
+        "https://huggingface.co/spaces/aiqtech/FLUX-Ghibli-Studio-LoRA",
+        "https://huggingface.co/spaces/openfree/AI-Podcast",
+        "https://huggingface.co/spaces/ginigen/Workflow-Canvas",
+        "https://huggingface.co/spaces/ginigen/3D-LLAMA",
+        "https://huggingface.co/spaces/ginigen/VoiceClone-TTS",
+        "https://huggingface.co/spaces/VIDraft/ACE-Singer",
+        "https://huggingface.co/spaces/ginipick/AI-BOOK",
+        "https://huggingface.co/spaces/immunobiotech/drug-discovery",
+        "https://huggingface.co/spaces/VIDraft/Robo-Beam",
+        "https://huggingface.co/spaces/fantaxy/fantasy-novel",
+        "https://huggingface.co/spaces/immunobiotech/Gemini-MICHELIN",
+        "https://huggingface.co/spaces/openfree/Chart-GPT",
+        "https://huggingface.co/spaces/ginipick/NH-Korea",
+        "https://huggingface.co/spaces/VIDraft/Voice-Clone-Podcast",
+        "https://huggingface.co/spaces/ginipick/Private-AI",
+        "https://huggingface.co/spaces/ginigen/Flux-VIDEO",
+        "https://huggingface.co/spaces/openfree/open-GAMMA",
+        "https://huggingface.co/spaces/ginipick/PharmAI-Korea",
+        "https://huggingface.co/spaces/ginipick/Pharmacy",
+        "https://huggingface.co/spaces/ginipick/PDF-EXAM",
+        "https://huggingface.co/spaces/ginipick/IDEA-DESIGN",
+        "https://huggingface.co/spaces/openfree/DreamO-video",
+        "https://huggingface.co/spaces/ginipick/10m-marketing",
+        "https://huggingface.co/spaces/VIDraft/voice-trans",
+        "https://huggingface.co/spaces/VIDraft/NH-Prediction",
+        "https://huggingface.co/spaces/fantos/flx8lora",
+        "https://huggingface.co/spaces/ginigen/MagicFace-V3",
+        "https://huggingface.co/spaces/openfree/Live-Podcast",
+        "https://huggingface.co/spaces/seawolf2357/ocrlatex",
+        "https://huggingface.co/spaces/Heartsync/VEO3-RealTime",
+        "https://huggingface.co/spaces/ginigen/VEO3-Free",
+        "https://huggingface.co/spaces/openfree/MagicFace-V3",
+        "https://huggingface.co/spaces/aiqtech/FLUX-military",
+        "https://huggingface.co/spaces/fantaxy/flxloraexp",
+        "https://huggingface.co/spaces/Heartsync/WAN2-1-fast-T2V-FusioniX",
+        "https://huggingface.co/spaces/ginigen/FLUXllama-Multilingual",
+        "https://huggingface.co/spaces/Heartsync/wan2-1-fast-security",
+        "https://huggingface.co/spaces/fantaxy/Rolls-Royce",
+        "https://huggingface.co/spaces/Heartsync/NSFW-Uncensored-REAL",
+        "https://huggingface.co/spaces/ginipick/Realtime-FLUX",
+        "https://huggingface.co/spaces/aiqtech/imaginpaint",
+        "https://huggingface.co/spaces/aiqtech/flxgif",
+        "https://huggingface.co/spaces/fantos/flxfashmodel",
+        "https://huggingface.co/spaces/aiqtech/kofaceid",
+        "https://huggingface.co/spaces/ginipick/FLUX-Prompt-Generator",
+        "https://huggingface.co/spaces/seawolf2357/REALVISXL-V5",
+        "https://huggingface.co/spaces/fantaxy/FLUX-Animations",
+        "https://huggingface.co/spaces/fantaxy/flx-pulid",
+        "https://huggingface.co/spaces/fantaxy/ofai-flx-logo",
+        "https://huggingface.co/spaces/openfree/image-to-vector",
+        "https://huggingface.co/spaces/Heartsync/FREE-NSFW-HUB",
+        "https://huggingface.co/spaces/seawolf2357/sd-prompt-gen",
+        "https://huggingface.co/spaces/VIDraft/FramePack_rotate_landscape",
+        "https://huggingface.co/spaces/ginipick/FLUXllama",
+        "https://huggingface.co/spaces/Heartsync/NSFW-image",
+        "https://huggingface.co/spaces/seawolf2357/img2vid",
+        "https://huggingface.co/spaces/Heartsync/NSFW-Uncensored-video2",
+        "https://huggingface.co/spaces/Heartsync/NSFW-detection",
+        "https://huggingface.co/spaces/Heartsync/NSFW-Uncensored-video",
+        "https://huggingface.co/spaces/Heartsync/adult",
+        "https://huggingface.co/spaces/Heartsync/NSFW-Uncensored",
+        "https://huggingface.co/spaces/fantos/VoiceClone",
+        "https://huggingface.co/spaces/Heartsync/NSFW-Uncensored-photo",
+        "https://huggingface.co/spaces/fantaxy/flx-upscale",
+        "https://huggingface.co/spaces/seawolf2357/flxloraexp",
+        "https://huggingface.co/spaces/ginipick/Time-Stream",
+        "https://huggingface.co/spaces/fantos/textcutobject",
+    ],
+    "NEW": [
+        "https://huggingface.co/spaces/ginigen/Flux-Kontext-Style",
+        "https://cutechicken-3d-airforce-simulator.static.hf.space",
+        "https://huggingface.co/spaces/ginipick/Private-AI",
+        "https://huggingface.co/spaces/VIDraft/ACE-Singer",
+        "https://huggingface.co/spaces/ginipick/AI-BOOK",
+        "https://huggingface.co/spaces/openfree/Best-AI",
+        "https://huggingface.co/spaces/aiqtech/Heatmap-Leaderboard",
+        "https://huggingface.co/spaces/VIDraft/DNA-CASINO",
+        "https://huggingface.co/spaces/openfree/AGI-Screenplay",
+        "https://huggingface.co/spaces/openfree/AGI-WebNovel",
+        "https://huggingface.co/spaces/openfree/AGI-NOVEL",
+        "https://huggingface.co/spaces/fantaxy/AGI-LEADERBOARD",
+        "https://huggingface.co/spaces/ginigen/Seedance-Free",
+        "https://huggingface.co/spaces/aiqtech/SOMA-Oriental",
+        "https://huggingface.co/spaces/ginigen/Flux-Kontext-FaceLORA",
+        "https://huggingface.co/spaces/VIDraft/SOMA-AGI",
+        "https://huggingface.co/spaces/Heartsync/VEO3-RealTime",
+        "https://huggingface.co/spaces/openfree/Open-GAMMA",
+        "https://huggingface.co/spaces/ginigen/VEO3-Free",
+        "https://huggingface.co/spaces/Heartsync/WAN2-1-fast-T2V-FusioniX",
+        "https://huggingface.co/spaces/VIDraft/voice-trans",
+        "https://huggingface.co/spaces/VIDraft/Robo-Beam",
+        "https://huggingface.co/spaces/Heartsync/NSFW-Uncensored-REAL",
+        "https://huggingface.co/spaces/fantaxy/fantasy-novel",
+        "https://huggingface.co/spaces/openfree/Chart-GPT",
+        "https://huggingface.co/spaces/Heartsync/Novel-NSFW",
+        "https://huggingface.co/spaces/ginigen/FLUX-Ghibli-LoRA2",
+        "https://huggingface.co/spaces/Heartsync/WAN-VIDEO-AUDIO",
+        "https://huggingface.co/spaces/Heartsync/wan2-1-fast-security",
+        "https://huggingface.co/spaces/ginigen/Flux-VIDEO",
+        "https://huggingface.co/spaces/aiqcamp/REMOVAL-TEXT-IMAGE",
+        "https://huggingface.co/spaces/VIDraft/Mistral-RAG-BitSix",
+        "https://huggingface.co/spaces/Heartsync/NSFW-Uncensored-video2",
+        "https://huggingface.co/spaces/Heartsync/NSFW-Uncensored-video",
+        "https://huggingface.co/spaces/fantaxy/YTB-TEST",
+        "https://huggingface.co/spaces/Heartsync/FREE-NSFW-HUB",
+        "https://huggingface.co/spaces/Heartsync/adult",
+        "https://huggingface.co/spaces/Heartsync/NSFW-Uncensored-photo",
+        "https://huggingface.co/spaces/Heartsync/NSFW-Uncensored",
+        "https://huggingface.co/spaces/openfree/Live-Podcast",
+        "https://huggingface.co/spaces/openfree/AI-Podcast",
+        "https://huggingface.co/spaces/ginipick/NH-Korea",
+        "https://huggingface.co/spaces/VIDraft/NH-Prediction",
+        "https://huggingface.co/spaces/VIDraft/Voice-Clone-Podcast",
+        "https://huggingface.co/spaces/ginipick/PDF-EXAM",
+        "https://huggingface.co/spaces/openfree/Game-Gallery",
+        "https://huggingface.co/spaces/openfree/Vibe-Game",
+        "https://huggingface.co/spaces/ginipick/IDEA-DESIGN",
+        "https://huggingface.co/spaces/openfree/Cycle-Navigator",
+        "https://huggingface.co/spaces/openfree/DreamO-video",
+        "https://huggingface.co/spaces/Heartsync/NSFW-detection",
+    ],
+    "Productivity": [
+        "https://huggingface.co/spaces/aiqtech/Heatmap-Leaderboard",
+        "https://huggingface.co/spaces/VIDraft/DNA-CASINO",
+        "https://huggingface.co/spaces/openfree/Open-GAMMA",
+        "https://huggingface.co/spaces/VIDraft/Robo-Beam",
+        "https://huggingface.co/spaces/VIDraft/voice-trans",
+        "https://huggingface.co/spaces/Heartsync/FREE-NSFW-HUB",
+        "https://huggingface.co/spaces/openfree/Chart-GPT",
+        "https://huggingface.co/spaces/ginipick/AI-BOOK",
+        "https://huggingface.co/spaces/VIDraft/Voice-Clone-Podcast",
+        "https://huggingface.co/spaces/ginipick/PDF-EXAM",
+        "https://huggingface.co/spaces/ginigen/perflexity-clone",
+        "https://huggingface.co/spaces/ginipick/IDEA-DESIGN",
+        "https://huggingface.co/spaces/ginipick/10m-marketing",
+        "https://huggingface.co/spaces/openfree/Live-Podcast",
+        "https://huggingface.co/spaces/openfree/AI-Podcast",
+        "https://huggingface.co/spaces/ginipick/QR-Canvas-plus",
+        "https://huggingface.co/spaces/openfree/Badge",
+        "https://huggingface.co/spaces/VIDraft/mouse-webgen",
+        "https://huggingface.co/spaces/openfree/Vibe-Game",
+        "https://huggingface.co/spaces/VIDraft/NH-Prediction",
+        "https://huggingface.co/spaces/ginipick/NH-Korea",
+        "https://huggingface.co/spaces/openfree/Naming",
+        "https://huggingface.co/spaces/ginipick/Change-Hair",
+    ],
+    "Multimodal": [
+        "https://huggingface.co/spaces/Heartsync/NSFW-Uncensored-photo",
+        "https://huggingface.co/spaces/fantaxy/YTB-TEST",
+        "https://huggingface.co/spaces/ginigen/Seedance-Free",
+        "https://huggingface.co/spaces/Heartsync/VEO3-RealTime",
+        "https://huggingface.co/spaces/ginigen/VEO3-Free",
+        "https://huggingface.co/spaces/ginigen/VEO3-Directors",
+        "https://huggingface.co/spaces/Heartsync/WAN2-1-fast-T2V-FusioniX",
+        "https://huggingface.co/spaces/Heartsync/adult",
+        "https://huggingface.co/spaces/Heartsync/NSFW-Uncensored",
+        "https://huggingface.co/spaces/Heartsync/NSFW-Uncensored-video2",
+        "https://huggingface.co/spaces/Heartsync/NSFW-Uncensored-video",
+        "https://huggingface.co/spaces/Heartsync/WAN-VIDEO-AUDIO",
+        "https://huggingface.co/spaces/Heartsync/wan2-1-fast-security",
+        "https://huggingface.co/spaces/ginigen/Flux-VIDEO",
+        "https://huggingface.co/spaces/ginigen/3D-LLAMA-V1",
+        "https://huggingface.co/spaces/ginigen/Flux-VIDEO",
+        "https://huggingface.co/spaces/openfree/Multilingual-TTS",
+        "https://huggingface.co/spaces/VIDraft/ACE-Singer",
+        "https://huggingface.co/spaces/openfree/DreamO-video",
+        "https://huggingface.co/spaces/fantaxy/Sound-AI-SFX",
+        "https://huggingface.co/spaces/ginigen/SFX-Sound-magic",
+        "https://huggingface.co/spaces/ginigen/VoiceClone-TTS",
+        "https://huggingface.co/spaces/aiqcamp/ENGLISH-Speaking-Scoring",
+        "https://huggingface.co/spaces/fantaxy/Remove-Video-Background",
+    ],
+    "Professional": [
+        "https://huggingface.co/spaces/Heartsync/NSFW-novels",
+        "https://huggingface.co/spaces/aiqtech/SOMA-Oriental",
+        "https://huggingface.co/spaces/VIDraft/SOMA-AGI",
+        "https://huggingface.co/spaces/Heartsync/Novel-NSFW",
+        "https://huggingface.co/spaces/fantaxy/fantasy-novel",
+        "https://huggingface.co/spaces/VIDraft/money-radar",
+        "https://huggingface.co/spaces/immunobiotech/drug-discovery",
+        "https://huggingface.co/spaces/immunobiotech/Gemini-MICHELIN",
+        "https://huggingface.co/spaces/openfree/Cycle-Navigator",
+        "https://huggingface.co/spaces/VIDraft/Fashion-Fit",
+        "https://huggingface.co/spaces/openfree/Stock-Trading-Analysis",
+        "https://huggingface.co/spaces/ginipick/AgentX-Papers",
+        "https://huggingface.co/spaces/Heartsync/Papers-Leaderboard",
+        "https://huggingface.co/spaces/VIDraft/PapersImpact",
+        "https://huggingface.co/spaces/ginigen/multimodal-chat-mbti-korea",
+    ],
+    "Image": [
+        "https://huggingface.co/spaces/ginigen/Flux-Kontext-FaceLORA",
+        "https://huggingface.co/spaces/Heartsync/NSFW-Uncensored-REAL",
+        "https://huggingface.co/spaces/ginigen/FLUX-Ghibli-LoRA2",
+        "https://huggingface.co/spaces/aiqcamp/REMOVAL-TEXT-IMAGE",
+        "https://huggingface.co/spaces/VIDraft/BAGEL-Websearch",
+        "https://huggingface.co/spaces/ginigen/Every-Text",
+        "https://huggingface.co/spaces/ginigen/text3d-r1",
+        "https://huggingface.co/spaces/ginipick/FLUXllama",
+        "https://huggingface.co/spaces/ginigen/Workflow-Canvas",
+        "https://huggingface.co/spaces/ginigen/canvas-studio",
+        "https://huggingface.co/spaces/VIDraft/ReSize-Image-Outpainting",
+        "https://huggingface.co/spaces/Heartsync/FLUX-Vision",
+        "https://huggingface.co/spaces/fantos/textcutobject",
+        "https://huggingface.co/spaces/aiqtech/imaginpaint",
+        "https://huggingface.co/spaces/openfree/ColorRevive",
+        "https://huggingface.co/spaces/openfree/ultpixgen",
+        "https://huggingface.co/spaces/VIDraft/Polaroid-Style",
+        "https://huggingface.co/spaces/ginigen/VisualCloze",
+        "https://huggingface.co/spaces/fantaxy/ofai-flx-logo",
+        "https://huggingface.co/spaces/ginigen/interior-design",
+        "https://huggingface.co/spaces/ginigen/MagicFace-V3",
+        "https://huggingface.co/spaces/fantaxy/flx-pulid",
+        "https://huggingface.co/spaces/seawolf2357/Ghibli-Multilingual-Text-rendering",
+        "https://huggingface.co/spaces/VIDraft/Open-Meme-Studio",
+        "https://huggingface.co/spaces/VIDraft/stable-diffusion-3.5-large-turboX",
+        "https://huggingface.co/spaces/aiqtech/flxgif",
+        "https://huggingface.co/spaces/openfree/VectorFlow",
+        "https://huggingface.co/spaces/ginigen/3D-LLAMA",
+        "https://huggingface.co/spaces/ginigen/Multi-LoRAgen",
+    ],
+    "LLM / VLM": [
+        "https://huggingface.co/spaces/fantaxy/fantasy-novel",
+        "https://huggingface.co/spaces/ginigen/deepseek-r1-0528-API",
+        "https://huggingface.co/spaces/aiqcamp/Mistral-Devstral-API",
+        "https://huggingface.co/spaces/aiqcamp/deepseek-r1-0528",
+        "https://huggingface.co/spaces/aiqcamp/deepseek-r1-0528-qwen3-8b",
+        "https://huggingface.co/spaces/aiqcamp/deepseek-r1-0528",
+        "https://huggingface.co/spaces/aiqcamp/Mistral-Devstral-API",
+        "https://huggingface.co/spaces/VIDraft/Mistral-RAG-BitSix",
+        "https://huggingface.co/spaces/VIDraft/Gemma-3-R1984-4B",
+        "https://huggingface.co/spaces/VIDraft/Gemma-3-R1984-12B",
+        "https://huggingface.co/spaces/ginigen/Mistral-Perflexity",
+        "https://huggingface.co/spaces/aiqcamp/gemini-2.5-flash-preview",
+        "https://huggingface.co/spaces/openfree/qwen3-30b-a3b-research",
+        "https://huggingface.co/spaces/openfree/qwen3-235b-a22b-research",
+        "https://huggingface.co/spaces/openfree/Llama-4-Maverick-17B-Research",
+    ],
+}
+# ────────────────────────── 3. URL HELPERS ──────────────────────────
+def direct_url(hf_url):
+    m = re.match(r"https?://huggingface\.co/spaces/([^/]+)/([^/?#]+)", hf_url)
+    if not m:
+        return hf_url
+    owner, name = m.groups()
+    owner = owner.lower()
+    name = name.replace('.', '-').replace('_', '-').lower()
+    return f"https://{owner}-{name}.hf.space"
+def screenshot_url(url):
+    return f"https://image.thum.io/get/fullpage/{url}"
+def process_url_for_preview(url):
+    """Returns (preview_url, mode)"""
+    # Handle blocked domains first
+    if any(d for d in BLOCKED_DOMAINS if d in url):
+        return screenshot_url(url), "snapshot"
+    # Special case handling for problematic URLs
+    if "vibe-coding-tetris" in url or "World-of-Tank-GAME" in url or "Minesweeper-Game" in url:
+        return screenshot_url(url), "snapshot"
+    # General HF space handling
+    try:
+        if "huggingface.co/spaces" in url:
+            parts = url.rstrip("/").split("/")
+            if len(parts) >= 5:
+                owner = parts[-2]
+                name = parts[-1]
+                embed_url = f"https://huggingface.co/spaces/{owner}/{name}/embed"
+                return embed_url, "iframe"
+    except Exception:
+        return screenshot_url(url), "snapshot"
+    # Default handling
+    return url, "iframe"
+# ────────────────────────── 4. API ROUTES ──────────────────────────
+@app.route('/api/category')
+def api_category():
+    cat = request.args.get('name', '')
+    urls = CATEGORIES.get(cat, [])
+    # Add pagination for categories
+    page = int(request.args.get('page', 1))
+    per_page = int(request.args.get('per_page', 4))
+    total_pages = max(1, (len(urls) + per_page - 1) // per_page)
+    start = (page - 1) * per_page
+    end = min(start + per_page, len(urls))
+    urls_page = urls[start:end]
+    items = [
+        {
+            "title": url.split('/')[-1],
+            "owner": url.split('/')[-2] if '/spaces/' in url else '',
+            "iframe": direct_url(url),
+            "shot": screenshot_url(url),
+            "hf": url
+        } for url in urls_page
+    ]
+    return jsonify({
+        "items": items,
+        "page": page,
+        "total_pages": total_pages
+    })
+# ────────────────────────── 5. MAIN ROUTES ──────────────────────────
+@app.route('/')
+def home():
+    os.makedirs('templates', exist_ok=True)
+    with open('templates/index.html', 'w', encoding='utf-8') as fp:
+        fp.write(r'''<!DOCTYPE html>
+<html>
+<head>
+<meta charset="utf-8">
+<meta name="viewport" content="width=device-width, initial-scale=1">
+<title>Web Gallery</title>
+<style>
+@import url('https://fonts.googleapis.com/css2?family=Nunito:wght@300;600&display=swap');
+body{margin:0;font-family:Nunito,sans-serif;background:#f6f8fb;}
+.tabs{display:flex;flex-wrap:wrap;gap:8px;padding:16px;}
+.tab{padding:6px 14px;border:none;border-radius:18px;background:#e2e8f0;font-weight:600;cursor:pointer;}
+.tab.active{background:#a78bfa;color:#1a202c;}
+.tab.popular{background:#ff6b6b;color:white;}
+.tab.popular.active{background:#fa5252;color:white;}
+.tab.best{background:#4ecdc4;color:white;}
+.tab.best.active{background:#38d9a9;color:white;}
+.tab.new{background:#ffe066;color:#1a202c;}
+.tab.new.active{background:#ffd43b;color:#1a202c;}
+/* Updated grid to show 2x2 layout */
+.grid{display:grid;grid-template-columns:repeat(2,1fr);gap:20px;padding:0 16px 60px;max-width:1200px;margin:0 auto;}
+@media(max-width:800px){.grid{grid-template-columns:1fr;}}
+/* Increased card height for larger display */
+.card{background:#fff;border-radius:12px;box-shadow:0 2px 8px rgba(0,0,0,.08);overflow:hidden;height:540px;display:flex;flex-direction:column;position:relative;}
+.frame{flex:1;position:relative;overflow:hidden;}
+.frame iframe{position:absolute;width:166.667%;height:166.667%;transform:scale(.6);transform-origin:top left;border:0;}
+.frame img{width:100%;height:100%;object-fit:cover;}
+.card-label{position:absolute;top:10px;left:10px;padding:4px 8px;border-radius:4px;font-size:11px;font-weight:bold;z-index:100;text-transform:uppercase;letter-spacing:0.5px;box-shadow:0 2px 4px rgba(0,0,0,0.2);}
+.label-live{background:linear-gradient(135deg, #00c6ff, #0072ff);color:white;}
+.label-static{background:linear-gradient(135deg, #ff9a9e, #fad0c4);color:#333;}
+.foot{height:44px;background:#fafafa;display:flex;align-items:center;justify-content:center;border-top:1px solid #eee;}
+.foot a{font-size:.82rem;font-weight:700;color:#4a6dd8;text-decoration:none;}
+.pagination{display:flex;justify-content:center;margin:20px 0;gap:10px;}
+.pagination button{padding:5px 15px;border:none;border-radius:20px;background:#e2e8f0;cursor:pointer;}
+.pagination button:disabled{opacity:0.5;cursor:not-allowed;}
+</style>
+</head>
+<body>
+<header style="text-align: center; padding: 20px; background: linear-gradient(135deg, #f6f8fb, #e2e8f0); border-bottom: 1px solid #ddd;">
+  <h1 style="margin-bottom: 10px;">🌟OPEN & Free: BEST AI Playground</h1>
+  <p>
+    <a href="https://huggingface.co/OpenFreeAI" target="_blank"><img src="https://img.shields.io/static/v1?label=Community&message=OpenFree_AI&color=%23800080&labelColor=%23000080&logo=HUGGINGFACE&logoColor=%23ffa500&style=for-the-badge" alt="badge"></a>
+    <a href="https://discord.gg/openfreeai" target="_blank"><img src="https://img.shields.io/static/v1?label=Discord&message=Openfree%20AI&color=%230000ff&labelColor=%23800080&logo=discord&logoColor=white&style=for-the-badge" alt="badge"></a>
+    <a href="https://huggingface.co/spaces/openfree/Best-AI" target="_blank"><img src="https://img.shields.io/static/v1?label=OpenFree&message=BEST%20AI%20Services&color=%230000ff&labelColor=%23000080&logo=huggingface&logoColor=%23ffa500&style=for-the-badge" alt="badge"></a>
+  </p>
+</header>
+<div class="tabs" id="tabs"></div>
+<div id="content"></div>
+<script>
+// Basic configuration
+const cats = {{cats|tojson}};
+const tabs = document.getElementById('tabs');
+const content = document.getElementById('content');
+let active = "";
+let currentPage = 1;
+// Simple utility functions
+function makeRequest(url, method, data, callback) {
+  const xhr = new XMLHttpRequest();
+  xhr.open(method, url, true);
+  xhr.onreadystatechange = function() {
+    if (xhr.readyState === 4 && xhr.status === 200) {
+      callback(JSON.parse(xhr.responseText));
+    }
+  };
+  if (method === 'POST') {
+    xhr.send(data);
+  } else {
+    xhr.send();
+  }
 }
+function updateTabs() {
+  Array.from(tabs.children).forEach(b => {
+    b.classList.toggle('active', b.dataset.c === active);
+  });
+}
+// Tab handlers
+function loadCategory(cat, page) {
+  if(cat === active && currentPage === page) return;
+  active = cat;
+  currentPage = page || 1;
+  updateTabs();
+  content.innerHTML = '<p style="text-align:center;padding:40px">Loading…</p>';
+  makeRequest('/api/category?name=' + encodeURIComponent(cat) + '&page=' + currentPage + '&per_page=4', 'GET', null, function(data) {
+    let html = '<div class="grid">';
+    if(data.items.length === 0) {
+      html += '<p style="grid-column:1/-1;text-align:center;padding:40px">No items in this category.</p>';
+    } else {
+      data.items.forEach(item => {
+        html += `
+          <div class="card">
+            <div class="card-label label-live">LIVE</div>
+            <div class="frame">
+              <iframe src="${item.iframe}" loading="lazy" sandbox="allow-forms allow-modals allow-popups allow-same-origin allow-scripts allow-downloads"></iframe>
+            </div>
+            <div class="foot">
+              <a href="${item.hf}" target="_blank">${item.title}</a>
+            </div>
+          </div>
+        `;
+      });
+    }
+    html += '</div>';
+    // Add pagination
+    html += `
+      <div class="pagination">
+        <button ${currentPage <= 1 ? 'disabled' : ''} onclick="loadCategory('${cat}', ${currentPage-1})">« Previous</button>
+        <span>Page ${currentPage} of ${data.total_pages}</span>
+        <button ${currentPage >= data.total_pages ? 'disabled' : ''} onclick="loadCategory('${cat}', ${currentPage+1})">Next »</button>
+      </div>
+    `;
+    content.innerHTML = html;
+  });
+}
+// Create tabs
+// Special tabs first (Popular, BEST, NEW)
+['Popular', 'BEST', 'NEW'].forEach(specialCat => {
+  const b = document.createElement('button');
+  b.className = 'tab ' + specialCat.toLowerCase();
+  b.textContent = specialCat;
+  b.dataset.c = specialCat;
+  b.onclick = function() { loadCategory(specialCat, 1); };
+  tabs.appendChild(b);
+});
+// Regular category tabs
+cats.forEach(c => {
+  if (!['Popular', 'BEST', 'NEW'].includes(c)) {
+    const b = document.createElement('button');
+    b.className = 'tab';
+    b.textContent = c;
+    b.dataset.c = c;
+    b.onclick = function() { loadCategory(c, 1); };
+    tabs.appendChild(b);
+  }
+});
+// Start with Popular tab
+loadCategory('Popular', 1);
+</script>
+</body>
+</html>''')
+    # Return the rendered template
+    return render_template('index.html', cats=list(CATEGORIES.keys()))
+if __name__ == '__main__':
+    app.run(host='0.0.0.0', port=7860)