Update app.py

app.py

@@ -1,260 +1,824 @@
-import subprocess  # 🥲
-subprocess.run(
-    "pip install flash-attn --no-build-isolation",
-    env={"FLASH_ATTENTION_SKIP_CUDA_BUILD": "TRUE"},
-    shell=True,
-)
+from flask import Flask, render_template, request, jsonify
+import os, re, json, sqlite3
 
-import spaces
-import gradio as gr
-import re
-import torch
-import os
-import json
-import time
-from pydantic import BaseModel
-from typing import Tuple
-from transformers import Qwen2_5_VLForConditionalGeneration, AutoProcessor
-from qwen_vl_utils import process_vision_info
-from PIL import Image
+app = Flask(__name__)
 
-os.environ["HF_HUB_ENABLE_HF_TRANSFER"] = "1"
+# ────────────────────────── 1. CONFIGURATION ──────────────────────────
+DB_FILE = "favorite_sites.json"  # JSON file for backward compatibility
+SQLITE_DB = "favorite_sites.db"  # SQLite database for persistence
+
+# Domains that commonly block iframes
+BLOCKED_DOMAINS = [
+    "naver.com", "daum.net", "google.com",
+    "facebook.com", "instagram.com", "kakao.com",
+    "ycombinator.com"
+]
 
-# ----------------------- Model and Processor Loading ----------------------- #
-model = Qwen2_5_VLForConditionalGeneration.from_pretrained(
-    "Qwen/Qwen2.5-VL-7B-Instruct",
-    torch_dtype=torch.bfloat16,
-    attn_implementation="flash_attention_2",
-    device_map="auto",
-)
-processor = AutoProcessor.from_pretrained("Qwen/Qwen2.5-VL-7B-Instruct")
 
-# ----------------------- Pydantic Model Definition ----------------------- #
-class GeneralRetrievalQuery(BaseModel):
-    broad_topical_query: str
-    broad_topical_explanation: str
-    specific_detail_query: str
-    specific_detail_explanation: str
-    visual_element_query: str
-    visual_element_explanation: str
+# ────────────────────────── 2. CURATED CATEGORIES ──────────────────────────
+CATEGORIES = {
+    "Productivity": [
+        "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/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/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-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/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",
+    ],
+}
 
-def extract_json_with_regex(text):
-    pattern = r'```(?:json)?\s*(.+?)\s*```'
-    matches = re.findall(pattern, text, re.DOTALL)
-    if matches:
-        return matches[0]
-    return None
+# ────────────────────────── 3. DATABASE FUNCTIONS ──────────────────────────
+def init_db():
+    # Initialize JSON file if it doesn't exist
+    if not os.path.exists(DB_FILE):
+        with open(DB_FILE, "w", encoding="utf-8") as f:
+            json.dump([], f, ensure_ascii=False)
+    
+    # Initialize SQLite database
+    conn = sqlite3.connect(SQLITE_DB)
+    cursor = conn.cursor()
+    cursor.execute('''
+    CREATE TABLE IF NOT EXISTS urls (
+        id INTEGER PRIMARY KEY AUTOINCREMENT,
+        url TEXT UNIQUE NOT NULL,
+        date_added TIMESTAMP DEFAULT CURRENT_TIMESTAMP
+    )
+    ''')
+    conn.commit()
+    
+    # If we have data in JSON but not in SQLite (first run with new SQLite DB),
+    # migrate the data from JSON to SQLite
+    json_urls = load_json()
+    if json_urls:
+        db_urls = load_db_sqlite()
+        for url in json_urls:
+            if url not in db_urls:
+                add_url_to_sqlite(url)
+    
+    conn.close()
 
-def get_retrieval_prompt(prompt_name: str) -> Tuple[str, GeneralRetrievalQuery]:
-    if prompt_name != "general":
-        raise ValueError("Only 'general' prompt is available in this version")
-    prompt = """You are an AI assistant specialized in document retrieval tasks. Given an image of a document page, your task is to generate retrieval queries that someone might use to find this document in a large corpus.
+def load_json():
+    """Load URLs from JSON file (for backward compatibility)"""
+    try:
+        with open(DB_FILE, "r", encoding="utf-8") as f:
+            raw = json.load(f)
+        return raw if isinstance(raw, list) else []
+    except Exception:
+        return []
 
-Please generate 3 different types of retrieval queries:
+def save_json(lst):
+    """Save URLs to JSON file (for backward compatibility)"""
+    try:
+        with open(DB_FILE, "w", encoding="utf-8") as f:
+            json.dump(lst, f, ensure_ascii=False, indent=2)
+        return True
+    except Exception:
+        return False
 
-1. A broad topical query: This should cover the main subject of the document.
-2. A specific detail query: This should focus on a particular fact, figure, or point made in the document.
-3. A visual element query: This should reference a chart, graph, image, or other visual component in the document, if present. Don't just reference the name of the visual element but generate a query which this illustration may help answer or be related to.
+def load_db_sqlite():
+    """Load URLs from SQLite database"""
+    conn = sqlite3.connect(SQLITE_DB)
+    cursor = conn.cursor()
+    cursor.execute("SELECT url FROM urls ORDER BY date_added DESC")
+    urls = [row[0] for row in cursor.fetchall()]
+    conn.close()
+    return urls
 
-Important guidelines:
-- Ensure the queries are relevant for retrieval tasks, not just describing the page content.
-- Frame the queries as if someone is searching for this document, not asking questions about its content.
-- Make the queries diverse and representative of different search strategies.
+def add_url_to_sqlite(url):
+    """Add a URL to SQLite database"""
+    conn = sqlite3.connect(SQLITE_DB)
+    cursor = conn.cursor()
+    try:
+        cursor.execute("INSERT INTO urls (url) VALUES (?)", (url,))
+        conn.commit()
+        success = True
+    except sqlite3.IntegrityError:
+        # URL already exists
+        success = False
+    conn.close()
+    return success
 
-For each query, also provide a brief explanation of why this query would be effective in retrieving this document.
+def update_url_in_sqlite(old_url, new_url):
+    """Update a URL in SQLite database"""
+    conn = sqlite3.connect(SQLITE_DB)
+    cursor = conn.cursor()
+    try:
+        cursor.execute("UPDATE urls SET url = ? WHERE url = ?", (new_url, old_url))
+        if cursor.rowcount > 0:
+            conn.commit()
+            success = True
+        else:
+            success = False
+    except sqlite3.IntegrityError:
+        # New URL already exists
+        success = False
+    conn.close()
+    return success
 
-Format your response as a JSON object with the following structure:
+def delete_url_from_sqlite(url):
+    """Delete a URL from SQLite database"""
+    conn = sqlite3.connect(SQLITE_DB)
+    cursor = conn.cursor()
+    cursor.execute("DELETE FROM urls WHERE url = ?", (url,))
+    if cursor.rowcount > 0:
+        conn.commit()
+        success = True
+    else:
+        success = False
+    conn.close()
+    return success
 
-{
-  "broad_topical_query": "Your query here",
-  "broad_topical_explanation": "Brief explanation",
-  "specific_detail_query": "Your query here",
-  "specific_detail_explanation": "Brief explanation",
-  "visual_element_query": "Your query here",
-  "visual_element_explanation": "Brief explanation"
-}
+def load_db():
+    """Primary function to load URLs - prioritizes SQLite DB but falls back to JSON"""
+    urls = load_db_sqlite()
+    if not urls:
+        # If SQLite DB is empty, try loading from JSON
+        urls = load_json()
+        # If we found URLs in JSON, migrate them to SQLite
+        for url in urls:
+            add_url_to_sqlite(url)
+    return urls
 
-If there are no relevant visual elements, replace the third query with another specific detail query.
+def save_db(lst):
+    """Save URLs to both SQLite and JSON"""
+    # Get existing URLs from SQLite for comparison
+    existing_urls = load_db_sqlite()
+    
+    # Clear all URLs from SQLite and add the new list
+    conn = sqlite3.connect(SQLITE_DB)
+    cursor = conn.cursor()
+    cursor.execute("DELETE FROM urls")
+    for url in lst:
+        cursor.execute("INSERT INTO urls (url) VALUES (?)", (url,))
+    conn.commit()
+    conn.close()
+    
+    # Also save to JSON for backward compatibility
+    return save_json(lst)
 
-Here is the document image to analyze:
-<image>
+# ────────────────────────── 4. 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"
 
-Generate the queries based on this image and provide the response in the specified JSON format."""
-    return prompt, GeneralRetrievalQuery
+def screenshot_url(url):
+    return f"https://image.thum.io/get/fullpage/{url}"
 
-prompt, pydantic_model = get_retrieval_prompt("general")
+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"
 
-# ----------------------- Input Preprocessing ----------------------- #
-def _prep_data_for_input(image):
-    messages = [
+# ────────────────────────── 5. API ROUTES ──────────────────────────
+@app.route('/api/category')
+def api_category():
+    cat = request.args.get('name', '')
+    urls = CATEGORIES.get(cat, [])
+    
+    # Add pagination for categories as well
+    page = int(request.args.get('page', 1))
+    per_page = int(request.args.get('per_page', 4))  # Changed to 4 per page
+    
+    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 = [
         {
-            "role": "user",
-            "content": [
-                {"type": "image", "image": image},
-                {"type": "text", "text": prompt},
-            ],
-        }
+            "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
     ]
-    text = processor.apply_chat_template(
-        messages, tokenize=False, add_generation_prompt=True
-    )
-    image_inputs, video_inputs = process_vision_info(messages)
-    return processor(
-        text=[text],
-        images=image_inputs,
-        videos=video_inputs,
-        padding=True,
-        return_tensors="pt",
-    )
+    
+    return jsonify({
+        "items": items,
+        "page": page,
+        "total_pages": total_pages
+    })
 
-# ----------------------- Output Formatting ----------------------- #
-def format_output(data: dict, output_format: str) -> str:
-    """
-    Convert the JSON data into the desired output format.
-    output_format: "JSON", "Markdown", "Table"
-    """
-    if output_format == "JSON":
-        # Wrap with code block for better display in Markdown view
-        return f"```json\n{json.dumps(data, indent=2, ensure_ascii=False)}\n```"
-    elif output_format == "Markdown":
-        md_lines = []
-        for key, value in data.items():
-            md_lines.append(f"**{key.replace('_', ' ').title()}:** {value}")
-        return "\n\n".join(md_lines)
-    elif output_format == "Table":
-        headers = ["Field", "Content"]
-        separator = " | ".join(["---"] * len(headers))
-        rows = [f"| {' | '.join(headers)} |", f"| {separator} |"]
-        for key, value in data.items():
-            rows.append(f"| {key.replace('_', ' ').title()} | {value} |")
-        return "\n".join(rows)
-    else:
-        return f"```json\n{json.dumps(data, indent=2, ensure_ascii=False)}\n```"
+@app.route('/api/favorites')
+def api_favorites():
+    # Load URLs from SQLite database
+    urls = load_db()
+    
+    page = int(request.args.get('page', 1))
+    per_page = int(request.args.get('per_page', 4))  # Changed to 4 per page
+    
+    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]
+    
+    result = []
+    for url in urls_page:
+        try:
+            preview_url, mode = process_url_for_preview(url)
+            result.append({
+                "title": url.split('/')[-1],
+                "url": url,
+                "preview_url": preview_url,
+                "mode": mode
+            })
+        except Exception:
+            # Fallback to screenshot mode
+            result.append({
+                "title": url.split('/')[-1],
+                "url": url,
+                "preview_url": screenshot_url(url),
+                "mode": "snapshot"
+            })
+    
+    return jsonify({
+        "items": result,
+        "page": page,
+        "total_pages": total_pages
+    })
 
-# ----------------------- Response Generation ----------------------- #
-@spaces.GPU
-def generate_response(image, output_format: str = "JSON"):
-    inputs = _prep_data_for_input(image)
-    inputs = inputs.to("cuda")
-    generated_ids = model.generate(**inputs, max_new_tokens=200)
-    generated_ids_trimmed = [
-        out_ids[len(in_ids):] for in_ids, out_ids in zip(inputs.input_ids, generated_ids)
-    ]
-    output_text = processor.batch_decode(
-        generated_ids_trimmed,
-        skip_special_tokens=True,
-        clean_up_tokenization_spaces=False,
-    )[0]
+@app.route('/api/url/add', methods=['POST'])
+def add_url():
+    url = request.form.get('url', '').strip()
+    if not url:
+        return jsonify({"success": False, "message": "URL is required"})
     
+    # SQLite에 추가 시도
+    conn = sqlite3.connect(SQLITE_DB)
+    cursor = conn.cursor()
     try:
-        json_str = extract_json_with_regex(output_text)
-        if json_str:
-            parsed = json.loads(json_str)
-            return format_output(parsed, output_format)
-        parsed = json.loads(output_text)
-        return format_output(parsed, output_format)
-    except Exception:
-        gr.Warning("Failed to parse JSON from output")
-        return output_text
-
-# ----------------------- Interface Title and Description (in English) ----------------------- #
-title = "Elegant ColPali Query Generator using Qwen2.5-VL"
-description = """**ColPali** is a multimodal approach optimized for document retrieval.
-This interface uses the [Qwen2.5-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct) model to generate relevant retrieval queries based on a document image.
-
-The queries include:
-- **Broad Topical Query:** Covers the main subject of the document.
-- **Specific Detail Query:** Focuses on a particular fact, figure, or point from the document.
-- **Visual Element Query:** References a visual component (e.g., chart, graph) from the document.
+        cursor.execute("INSERT INTO urls (url) VALUES (?)", (url,))
+        conn.commit()
+        success = True
+    except sqlite3.IntegrityError:
+        # URL이 이미 존재하는 경우
+        success = False
+    except Exception as e:
+        print(f"SQLite error: {str(e)}")
+        success = False
+    finally:
+        conn.close()
+    
+    if not success:
+        return jsonify({"success": False, "message": "URL already exists or could not be added"})
+    
+    # JSON 파일에도 추가 (백업용)
+    data = load_json()
+    if url not in data:
+        data.insert(0, url)
+        save_json(data)
+    
+    return jsonify({"success": True, "message": "URL added successfully"})
 
-Refer to the examples below to generate queries suitable for your document image.
-For more information, please see the associated blog post.
-"""
+@app.route('/api/url/update', methods=['POST'])
+def update_url():
+    old = request.form.get('old', '')
+    new = request.form.get('new', '').strip()
+    
+    if not new:
+        return jsonify({"success": False, "message": "New URL is required"})
+    
+    # Update in SQLite DB
+    if not update_url_in_sqlite(old, new):
+        return jsonify({"success": False, "message": "URL not found or new URL already exists"})
+    
+    # Also update JSON file for backward compatibility
+    data = load_json()
+    try:
+        idx = data.index(old)
+        data[idx] = new
+        save_json(data)
+    except ValueError:
+        # If URL not in JSON, add it
+        data.append(new)
+        save_json(data)
+    
+    return jsonify({"success": True, "message": "URL updated successfully"})
 
-examples = [
-    "examples/Approche_no_13_1977.pdf_page_22.jpg",
-    "examples/SRCCL_Technical-Summary.pdf_page_7.jpg",
-]
+@app.route('/api/url/delete', methods=['POST'])
+def delete_url():
+    url = request.form.get('url', '')
+    
+    # Delete from SQLite DB
+    if not delete_url_from_sqlite(url):
+        return jsonify({"success": False, "message": "URL not found"})
+    
+    # Also update JSON file for backward compatibility
+    data = load_json()
+    try:
+        data.remove(url)
+        save_json(data)
+    except ValueError:
+        pass
+    
+    return jsonify({"success": True, "message": "URL deleted successfully"})
 
-# ----------------------- Custom CSS ----------------------- #
-custom_css = """
-body {
-    background: #f7f9fb;
-    font-family: 'Segoe UI', sans-serif;
-    color: #333;
+# ────────────────────────── 6. 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.manage{background:#ff6e91;color:white;}
+.tab.manage.active{background:#ff2d62;color:white;}
+/* 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;}
+.manage-panel{background:white;border-radius:12px;box-shadow:0 2px 8px rgba(0,0,0,.08);margin:16px;padding:20px;}
+.form-group{margin-bottom:15px;}
+.form-group label{display:block;margin-bottom:5px;font-weight:600;}
+.form-control{width:100%;padding:8px;border:1px solid #ddd;border-radius:4px;box-sizing:border-box;}
+.btn{padding:8px 15px;border:none;border-radius:4px;cursor:pointer;font-weight:600;}
+.btn-primary{background:#4a6dd8;color:white;}
+.btn-danger{background:#e53e3e;color:white;}
+.btn-success{background:#38a169;color:white;}
+.status{padding:10px;margin:10px 0;border-radius:4px;display:none;}
+.status.success{display:block;background:#c6f6d5;color:#22543d;}
+.status.error{display:block;background:#fed7d7;color:#822727;}
+.url-list{margin:20px 0;border:1px solid #eee;border-radius:4px;max-height:300px;overflow-y:auto;}
+.url-item{padding:10px;border-bottom:1px solid #eee;display:flex;justify-content:space-between;align-items:center;}
+.url-item:last-child{border-bottom:none;}
+.url-controls{display:flex;gap:5px;}
+</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;">🌟AI Playground</h1>
+  <p>
+    <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>
+  </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 loadHTML(url, callback) {
+  const xhr = new XMLHttpRequest();
+  xhr.open('GET', url, true);
+  xhr.onreadystatechange = function() {
+    if (xhr.readyState === 4 && xhr.status === 200) {
+      callback(xhr.responseText);
+    }
+  };
+  xhr.send();
 }
-header {
-    text-align: center;
-    padding: 20px;
-    margin-bottom: 20px;
+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();
+  }
 }
-header h1 {
-    font-size: 3em;
-    color: #2c3e50;
+function updateTabs() {
+  Array.from(tabs.children).forEach(b => {
+    b.classList.toggle('active', b.dataset.c === active);
+  });
 }
-.gradio-container {
-    padding: 20px;
+// 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}', ${currentPage+1})">Next »</button>
+      </div>
+    `;
+    
+    content.innerHTML = html;
+  });
 }
-.gr-button {
-    background-color: #3498db !important;
-    color: #fff !important;
-    border: none !important;
-    padding: 10px 20px !important;
-    border-radius: 5px !important;
-    font-size: 1em !important;
+function loadFavorites(page) {
+  if(active === 'Favorites' && currentPage === page) return;
+  active = 'Favorites';
+  currentPage = page || 1;
+  updateTabs();
+  
+  content.innerHTML = '<p style="text-align:center;padding:40px">Loading…</p>';
+  
+  makeRequest('/api/favorites?page=' + currentPage + '&per_page=4', 'GET', null, function(data) {
+    let html = '<div class="grid">';
+    
+    if(data.items.length === 0) {
+      html += '<p style="grid-column:1/-1;text-align:center;padding:40px">No favorites saved yet.</p>';
+    } else {
+      data.items.forEach(item => {
+        if(item.mode === 'snapshot') {
+          html += `
+            <div class="card">
+              <div class="card-label label-static">Static</div>
+              <div class="frame">
+                <img src="${item.preview_url}" loading="lazy">
+              </div>
+              <div class="foot">
+                <a href="${item.url}" target="_blank">${item.title}</a>
+              </div>
+            </div>
+          `;
+        } else {
+          html += `
+            <div class="card">
+              <div class="card-label label-live">LIVE</div>
+              <div class="frame">
+                <iframe src="${item.preview_url}" loading="lazy" sandbox="allow-forms allow-modals allow-popups allow-same-origin allow-scripts allow-downloads"></iframe>
+              </div>
+              <div class="foot">
+                <a href="${item.url}" target="_blank">${item.title}</a>
+              </div>
+            </div>
+          `;
+        }
+      });
+    }
+    
+    html += '</div>';
+    
+    // Add pagination
+    html += `
+      <div class="pagination">
+        <button ${currentPage <= 1 ? 'disabled' : ''} onclick="loadFavorites(${currentPage-1})">« Previous</button>
+        <span>Page ${currentPage} of ${data.total_pages}</span>
+        <button ${currentPage >= data.total_pages ? 'disabled' : ''} onclick="loadFavorites(${currentPage+1})">Next »</button>
+      </div>
+    `;
+    
+    content.innerHTML = html;
+  });
+}
+function loadManage() {
+  if(active === 'Manage') return;
+  active = 'Manage';
+  updateTabs();
+  
+  content.innerHTML = `
+    <div class="manage-panel">
+      <h2>Add New URL</h2>
+      <div class="form-group">
+        <label for="new-url">URL</label>
+        <input type="text" id="new-url" class="form-control" placeholder="https://example.com">
+      </div>
+      <button onclick="addUrl()" class="btn btn-primary">Add URL</button>
+      <div id="add-status" class="status"></div>
+      
+      <h2>Manage Saved URLs</h2>
+      <div id="url-list" class="url-list">Loading...</div>
+    </div>
+  `;
+  
+  loadUrlList();
+}
+// URL management functions
+function loadUrlList() {
+  makeRequest('/api/favorites?per_page=100', 'GET', null, function(data) {
+    const urlList = document.getElementById('url-list');
+    
+    if(data.items.length === 0) {
+      urlList.innerHTML = '<p style="text-align:center;padding:20px">No URLs saved yet.</p>';
+      return;
+    }
+    
+    let html = '';
+    data.items.forEach(item => {
+      // Escape the URL to prevent JavaScript injection when used in onclick handlers
+      const escapedUrl = item.url.replace(/'/g, "\\'");
+      
+      html += `
+        <div class="url-item">
+          <div>${item.url}</div>
+          <div class="url-controls">
+            <button class="btn" onclick="editUrl('${escapedUrl}')">Edit</button>
+            <button class="btn btn-danger" onclick="deleteUrl('${escapedUrl}')">Delete</button>
+          </div>
+        </div>
+      `;
+    });
+    
+    urlList.innerHTML = html;
+  });
 }
-.gr-button:hover {
-    background-color: #2980b9 !important;
+function addUrl() {
+  const url = document.getElementById('new-url').value.trim();
+  
+  if(!url) {
+    showStatus('add-status', 'Please enter a URL', false);
+    return;
+  }
+  
+  const formData = new FormData();
+  formData.append('url', url);
+  
+  makeRequest('/api/url/add', 'POST', formData, function(data) {
+    showStatus('add-status', data.message, data.success);
+    if(data.success) {
+      document.getElementById('new-url').value = '';
+      loadUrlList();
+      // If currently in Favorites tab, reload to see changes immediately
+      if(active === 'Favorites') {
+        loadFavorites(currentPage);
+      }
+    }
+  });
 }
-.gr-gallery-item {
-    border-radius: 10px;
-    overflow: hidden;
-    box-shadow: 0 2px 10px rgba(0,0,0,0.1);
+function editUrl(url) {
+  // Decode URL if it was previously escaped
+  const decodedUrl = url.replace(/\\'/g, "'");
+  const newUrl = prompt('Edit URL:', decodedUrl);
+  
+  if(!newUrl || newUrl === decodedUrl) return;
+  
+  const formData = new FormData();
+  formData.append('old', decodedUrl);
+  formData.append('new', newUrl);
+  
+  makeRequest('/api/url/update', 'POST', formData, function(data) {
+    if(data.success) {
+      loadUrlList();
+      // If currently in Favorites tab, reload to see changes immediately
+      if(active === 'Favorites') {
+        loadFavorites(currentPage);
+      }
+    } else {
+      alert(data.message);
+    }
+  });
 }
-footer {
-    text-align: center;
-    padding: 20px 0;
-    font-size: 0.9em;
-    color: #555;
+function deleteUrl(url) {
+  // Decode URL if it was previously escaped
+  const decodedUrl = url.replace(/\\'/g, "'");
+  if(!confirm('Are you sure you want to delete this URL?')) return;
+  
+  const formData = new FormData();
+  formData.append('url', decodedUrl);
+  
+  makeRequest('/api/url/delete', 'POST', formData, function(data) {
+    if(data.success) {
+      loadUrlList();
+      // If currently in Favorites tab, reload to see changes immediately
+      if(active === 'Favorites') {
+        loadFavorites(currentPage);
+      }
+    } else {
+      alert(data.message);
+    }
+  });
 }
-"""
+function showStatus(id, message, success) {
+  const status = document.getElementById(id);
+  status.textContent = message;
+  status.className = success ? 'status success' : 'status error';
+  setTimeout(() => {
+    status.className = 'status';
+  }, 3000);
+}
+// Create tabs
+// Favorites tab first
+const favTab = document.createElement('button');
+favTab.className = 'tab';
+favTab.textContent = 'Favorites';
+favTab.dataset.c = 'Favorites';
+favTab.onclick = function() { loadFavorites(1); };
+tabs.appendChild(favTab);
+// Category tabs
+cats.forEach(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);
+});
+// Manage tab last
+const manageTab = document.createElement('button');
+manageTab.className = 'tab manage';
+manageTab.textContent = 'Manage';
+manageTab.dataset.c = 'Manage';
+manageTab.onclick = function() { loadManage(); };
+tabs.appendChild(manageTab);
+// Start with Favorites tab
+loadFavorites(1);
+</script>
+</body>
+</html>''')
+    
+    # Return the rendered template
+    return render_template('index.html', cats=list(CATEGORIES.keys()))
 
-# ----------------------- Gradio Interface ----------------------- #
-with gr.Blocks(css=custom_css, title=title) as demo:
-    with gr.Column(variant="panel"):
-        gr.Markdown(f"<header><h1>{title}</h1></header>")
-        gr.Markdown(description)
-        
-        with gr.Tabs():
-            with gr.TabItem("Query Generation"):
-                gr.Markdown("### Generate Retrieval Queries from a Document Image")
-                with gr.Row():
-                    image_input = gr.Image(label="Upload Document Image", type="pil")
-                with gr.Row():
-                    output_format = gr.Radio(
-                        choices=["JSON", "Markdown", "Table"],
-                        value="JSON",
-                        label="Output Format",
-                        info="Select the desired output format."
-                    )
-                generate_button = gr.Button("Generate Query")
-                # 출력 컴포넌트를 gr.Markdown으로 변경하여 Markdown 및 Table 형식이 제대로 렌더링되도록 함.
-                output_text = gr.Markdown(label="Generated Query")
-                with gr.Accordion("Examples", open=False):
-                    gr.Examples(
-                        label="Query Examples",
-                        examples=[
-                            "examples/Approche_no_13_1977.pdf_page_22.jpg",
-                            "examples/SRCCL_Technical-Summary.pdf_page_7.jpg",
-                        ],
-                        inputs=image_input,
-                    )
-                generate_button.click(
-                    fn=generate_response,
-                    inputs=[image_input, output_format],
-                    outputs=output_text
-                )
-        
-        gr.Markdown("<footer>Join our community on <a href='https://discord.gg/openfreeai' target='_blank'>Discord</a></footer>")
+# Initialize database on startup
+init_db()
+
+# Define a function to ensure database consistency
+def ensure_db_consistency():
+    # Make sure we have the latest data in both JSON and SQLite
+    urls = load_db_sqlite()
+    save_json(urls)
 
-demo.launch()
+# For Flask 2.0+ compatibility
+@app.before_request
+def before_request_func():
+    # Use a flag to run this only once
+    if not hasattr(app, '_got_first_request'):
+        ensure_db_consistency()
+        app._got_first_request = True
+
+if __name__ == '__main__':
+    # 앱 시작 전에 명시적으로 DB 초기화
+    print("Initializing database...")
+    init_db()
+    
+    # 데이터베이스 파일 경로 및 존재 여부 확인
+    db_path = os.path.abspath(SQLITE_DB)
+    print(f"SQLite DB path: {db_path}")
+    if os.path.exists(SQLITE_DB):
+        print(f"Database file exists, size: {os.path.getsize(SQLITE_DB)} bytes")
+    else:
+        print("Warning: Database file does not exist after initialization!")
+    
+    app.run(host='0.0.0.0', port=7860)