app.py

import gradio as gr
import cv2
import numpy as np
import tempfile
import os
from pathlib import Path
from typing import Optional, Tuple
import torch
from PIL import Image

# ==============================
# Model loader
# ==============================
def load_model(model_path: str = "yolov8-face-hf.pt", device: Optional[str] = None):
    from ultralytics import YOLO
    if device is None:
        if torch.cuda.is_available():
            device = "cuda"
        elif torch.backends.mps.is_available():
            device = "mps"
        else:
            device = "cpu"
    model = YOLO(model_path)
    model.to(device)
    return model, device

# Load model globally
model, device = load_model()

# ==============================
# Helper functions
# ==============================
def _ensure_odd(x: int) -> int:
    return x if x % 2 == 1 else x + 1

def _choose_writer_size(w: int, h: int) -> Tuple[int, int]:
    return (w if w % 2 == 0 else w - 1, h if h % 2 == 0 else h - 1)

def _apply_anonymization(face_roi: np.ndarray, mode: str, blur_kernel: int, mosaic: int = 15) -> np.ndarray:
    if face_roi.size == 0:
        return face_roi
    if mode == "Gaussian Blur":
        k = _ensure_odd(max(blur_kernel, 15))
        return cv2.GaussianBlur(face_roi, (k, k), 0)
    else:
        m = max(2, mosaic)
        h, w = face_roi.shape[:2]
        face_small = cv2.resize(face_roi, (max(1, w // m), max(1, h // m)), interpolation=cv2.INTER_LINEAR)
        return cv2.resize(face_small, (w, h), interpolation=cv2.INTER_NEAREST)

def blur_faces_image(image_bgr, conf, iou, expand_ratio, mode, blur_kernel, mosaic):
    h, w = image_bgr.shape[:2]
    face_count = 0

    with torch.no_grad():
        results = model.predict(image_bgr, conf=conf, iou=iou, verbose=False, device=device)

    for r in results:
        boxes = r.boxes.xyxy.cpu().numpy() if hasattr(r.boxes, "xyxy") else []
        face_count = len(boxes)
        for x1, y1, x2, y2 in boxes:
            x1, y1, x2, y2 = map(int, [x1, y1, x2, y2])

            if expand_ratio > 0:
                bw = x2 - x1
                bh = y2 - y1
                dx = int(bw * expand_ratio)
                dy = int(bh * expand_ratio)
                x1 -= dx; y1 -= dy; x2 += dx; y2 += dy

            x1 = max(0, min(w, x1))
            x2 = max(0, min(w, x2))
            y1 = max(0, min(h, y1))
            y2 = max(0, min(h, y2))
            if x2 <= x1 or y2 <= y1:
                continue

            roi = image_bgr[y1:y2, x1:x2]
            image_bgr[y1:y2, x1:x2] = _apply_anonymization(roi, mode, blur_kernel, mosaic)

    return image_bgr, face_count

def blur_faces_video(input_path, conf, iou, expand_ratio, mode, blur_kernel, mosaic, progress=gr.Progress()):
    from moviepy.editor import VideoFileClip
    
    cap = cv2.VideoCapture(input_path)
    if not cap.isOpened():
        raise IOError("Cannot open video")

    in_w = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
    in_h = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
    fps = cap.get(cv2.CAP_PROP_FPS) or 25.0
    frames = int(cap.get(cv2.CAP_PROP_FRAME_COUNT)) or 0

    out_w, out_h = _choose_writer_size(in_w, in_h)
    fourcc = cv2.VideoWriter_fourcc(*"mp4v")
    
    temp_video_path = tempfile.NamedTemporaryFile(delete=False, suffix="_temp.mp4").name
    output_path = tempfile.NamedTemporaryFile(delete=False, suffix="_blurred.mp4").name
    
    out = cv2.VideoWriter(temp_video_path, fourcc, fps, (out_w, out_h))

    idx = 0
    total_faces = 0
    
    try:
        while True:
            ret, frame = cap.read()
            if not ret:
                break
            frame = cv2.resize(frame, (out_w, out_h))

            with torch.no_grad():
                results = model.predict(frame, conf=conf, iou=iou, verbose=False, device=device)

            h, w = frame.shape[:2]
            r0 = results[0] if len(results) else None
            boxes = r0.boxes.xyxy if (r0 and hasattr(r0, "boxes")) else []
            total_faces += len(boxes)

            for b in boxes:
                x1, y1, x2, y2 = map(int, b)
                if expand_ratio > 0:
                    bw = x2 - x1
                    bh = y2 - y1
                    dx = int(bw * expand_ratio)
                    dy = int(bh * expand_ratio)
                    x1 -= dx; y1 -= dy; x2 += dx; y2 += dy

                x1 = max(0, min(w, x1))
                x2 = max(0, min(w, x2))
                y1 = max(0, min(h, y1))
                y2 = max(0, min(h, y2))
                if x2 <= x1 or y2 <= y1:
                    continue

                roi = frame[y1:y2, x1:x2]
                frame[y1:y2, x1:x2] = _apply_anonymization(roi, mode, blur_kernel, mosaic)

            out.write(frame)
            idx += 1
            if frames > 0:
                progress(idx / frames, desc=f"Processing frame {idx}/{frames}")
    finally:
        cap.release()
        out.release()

    try:
        progress(0.95, desc="Merging audio...")
        original = VideoFileClip(input_path)
        processed = VideoFileClip(temp_video_path).set_audio(original.audio)
        processed.write_videofile(
            output_path,
            codec="libx264",
            audio_codec="aac",
            threads=1,
            logger=None
        )
        original.close()
        processed.close()
        return output_path, total_faces, frames
    except Exception as e:
        print("Audio merging failed:", e)
        return temp_video_path, total_faces, frames


# ==============================
# Main Processing Functions
# ==============================
def process_image(image, conf, iou, expand_ratio, mode_choice, blur_intensity, mosaic_size):
    if image is None:
        return None, "⚠️ Please upload an image first!"
    
    # Convert PIL to BGR
    image_bgr = cv2.cvtColor(np.array(image), cv2.COLOR_RGB2BGR)
    h, w = image_bgr.shape[:2]
    
    # Determine blur settings
    if mode_choice == "Gaussian Blur":
        blur_kernel = blur_intensity
        mosaic = 15
    else:
        blur_kernel = 51
        mosaic = mosaic_size
    
    # Process
    result_bgr, face_count = blur_faces_image(
        image_bgr.copy(), conf, iou, expand_ratio,
        mode_choice, blur_kernel, mosaic
    )
    
    # Convert back to RGB
    result_rgb = cv2.cvtColor(result_bgr, cv2.COLOR_BGR2RGB)
    result_pil = Image.fromarray(result_rgb)
    
    # Generate log
    info_log = f"""✅ IMAGE PROCESSING COMPLETE!
{'=' * 50}
🖼️ Image Info:
   • Size: {w} x {h} pixels
   • Format: RGB
{'=' * 50}
🔍 Detection Settings:
   • Confidence: {conf}
   • IoU Threshold: {iou}
   • Box Expansion: {expand_ratio}
{'=' * 50}
🎨 Blur Settings:
   • Style: {mode_choice}
   • Intensity: {blur_intensity if mode_choice == "Gaussian Blur" else mosaic_size}
{'=' * 50}
👤 Results:
   • Faces Detected: {face_count}
   • Faces Blurred: {face_count}
{'=' * 50}
💾 Ready to download!"""
    
    return result_pil, info_log


def process_video(video, conf, iou, expand_ratio, mode_choice, blur_intensity, mosaic_size, progress=gr.Progress()):
    if video is None:
        return None, "⚠️ Please upload a video first!"
    
    # Determine blur settings
    if mode_choice == "Gaussian Blur":
        blur_kernel = blur_intensity
        mosaic = 15
    else:
        blur_kernel = 51
        mosaic = mosaic_size
    
    try:
        output_path, total_faces, total_frames = blur_faces_video(
            video, conf, iou, expand_ratio,
            mode_choice, blur_kernel, mosaic, progress
        )
        
        info_log = f"""✅ VIDEO PROCESSING COMPLETE!
{'=' * 50}
🎥 Video Info:
   • Total Frames: {total_frames}
   • Output Path: {os.path.basename(output_path)}
{'=' * 50}
🔍 Detection Settings:
   • Confidence: {conf}
   • IoU Threshold: {iou}
   • Box Expansion: {expand_ratio}
{'=' * 50}
🎨 Blur Settings:
   • Style: {mode_choice}
   • Intensity: {blur_intensity if mode_choice == "Gaussian Blur" else mosaic_size}
{'=' * 50}
👤 Results:
   • Total Faces Detected: {total_faces}
   • Frames Processed: {total_frames}
{'=' * 50}
💾 Ready to download!"""
        
        return output_path, info_log
        
    except Exception as e:
        return None, f"❌ Error: {str(e)}"


# ============================================
# 🎨 Comic Classic Theme - Toon Playground
# ============================================

css = """
/* ===== 🎨 Google Fonts Import ===== */
@import url('https://fonts.googleapis.com/css2?family=Bangers&family=Comic+Neue:wght@400;700&display=swap');

/* ===== 🎨 Comic Classic 배경 - 빈티지 페이퍼 + 도트 패턴 ===== */
.gradio-container {
    background-color: #FEF9C3 !important;
    background-image: 
        radial-gradient(#1F2937 1px, transparent 1px) !important;
    background-size: 20px 20px !important;
    min-height: 100vh !important;
    font-family: 'Comic Neue', cursive, sans-serif !important;
}

/* ===== 허깅페이스 상단 요소 숨김 ===== */
.huggingface-space-header,
#space-header,
.space-header,
[class*="space-header"],
.svelte-1ed2p3z,
.space-header-badge,
.header-badge,
[data-testid="space-header"],
.svelte-kqij2n,
.svelte-1ax1toq,
.embed-container > div:first-child {
    display: none !important;
    visibility: hidden !important;
    height: 0 !important;
    width: 0 !important;
    overflow: hidden !important;
    opacity: 0 !important;
    pointer-events: none !important;
}

/* ===== Footer 완전 숨김 ===== */
footer,
.footer,
.gradio-container footer,
.built-with,
[class*="footer"],
.gradio-footer,
.main-footer,
div[class*="footer"],
.show-api,
.built-with-gradio,
a[href*="gradio.app"],
a[href*="huggingface.co/spaces"] {
    display: none !important;
    visibility: hidden !important;
    height: 0 !important;
    padding: 0 !important;
    margin: 0 !important;
}

/* ===== 메인 컨테이너 ===== */
#col-container { 
    max-width: 1400px; 
    margin: 0 auto; 
}

/* ===== 🎨 헤더 타이틀 - 코믹 스타일 ===== */
.header-text h1 {
    font-family: 'Bangers', cursive !important;
    color: #1F2937 !important;
    font-size: 3.5rem !important;
    font-weight: 400 !important;
    text-align: center !important;
    margin-bottom: 0.5rem !important;
    text-shadow: 
        4px 4px 0px #FACC15,
        6px 6px 0px #1F2937 !important;
    letter-spacing: 3px !important;
    -webkit-text-stroke: 2px #1F2937 !important;
}

/* ===== 🎨 서브타이틀 ===== */
.subtitle {
    text-align: center !important;
    font-family: 'Comic Neue', cursive !important;
    font-size: 1.2rem !important;
    color: #1F2937 !important;
    margin-bottom: 1.5rem !important;
    font-weight: 700 !important;
}

/* ===== 🎨 Stats 카드 ===== */
.stats-row {
    display: flex !important;
    justify-content: center !important;
    gap: 1rem !important;
    margin: 1.5rem 0 !important;
    flex-wrap: wrap !important;
}

.stat-card {
    background: linear-gradient(135deg, #3B82F6 0%, #8B5CF6 100%) !important;
    border: 3px solid #1F2937 !important;
    border-radius: 12px !important;
    padding: 1rem 1.5rem !important;
    text-align: center !important;
    box-shadow: 4px 4px 0px #1F2937 !important;
    min-width: 120px !important;
}

.stat-card .emoji {
    font-size: 2rem !important;
    display: block !important;
    margin-bottom: 0.3rem !important;
}

.stat-card .label {
    color: #FFFFFF !important;
    font-family: 'Comic Neue', cursive !important;
    font-weight: 700 !important;
    font-size: 0.9rem !important;
}

/* ===== 🎨 카드/패널 - 만화 프레임 스타일 ===== */
.gr-panel,
.gr-box,
.gr-form,
.block,
.gr-group {
    background: #FFFFFF !important;
    border: 3px solid #1F2937 !important;
    border-radius: 8px !important;
    box-shadow: 6px 6px 0px #1F2937 !important;
    transition: all 0.2s ease !important;
}

.gr-panel:hover,
.block:hover {
    transform: translate(-2px, -2px) !important;
    box-shadow: 8px 8px 0px #1F2937 !important;
}

/* ===== 🎨 탭 스타일 ===== */
.gr-tabs {
    border: 3px solid #1F2937 !important;
    border-radius: 12px !important;
    overflow: hidden !important;
    box-shadow: 6px 6px 0px #1F2937 !important;
}

.gr-tab-nav {
    background: #FACC15 !important;
    border-bottom: 3px solid #1F2937 !important;
}

.gr-tab-nav button {
    font-family: 'Bangers', cursive !important;
    font-size: 1.2rem !important;
    letter-spacing: 1px !important;
    color: #1F2937 !important;
    padding: 12px 24px !important;
    border: none !important;
    background: transparent !important;
    transition: all 0.2s ease !important;
}

.gr-tab-nav button:hover {
    background: #FDE68A !important;
}

.gr-tab-nav button.selected {
    background: #3B82F6 !important;
    color: #FFFFFF !important;
    text-shadow: 1px 1px 0px #1F2937 !important;
}

/* ===== 🎨 입력 필드 ===== */
textarea, 
input[type="text"], 
input[type="number"] {
    background: #FFFFFF !important;
    border: 3px solid #1F2937 !important;
    border-radius: 8px !important;
    color: #1F2937 !important;
    font-family: 'Comic Neue', cursive !important;
    font-size: 1rem !important;
    font-weight: 700 !important;
    transition: all 0.2s ease !important;
}

textarea:focus, 
input[type="text"]:focus, 
input[type="number"]:focus {
    border-color: #3B82F6 !important;
    box-shadow: 4px 4px 0px #3B82F6 !important;
    outline: none !important;
}

/* ===== 🎨 드롭다운 스타일 ===== */
[data-testid="dropdown"] {
    border: 3px solid #1F2937 !important;
    border-radius: 8px !important;
    box-shadow: 3px 3px 0px #1F2937 !important;
}

[data-testid="dropdown"] .wrap {
    background: #FFFFFF !important;
}

[data-testid="dropdown"] .wrap-inner {
    background: #FFFFFF !important;
}

[data-testid="dropdown"] .secondary-wrap {
    background: #FFFFFF !important;
}

[data-testid="dropdown"] input {
    color: #1F2937 !important;
    font-family: 'Comic Neue', cursive !important;
    font-weight: 700 !important;
}

[data-testid="dropdown"] .options {
    background: #FFFFFF !important;
    border: 3px solid #1F2937 !important;
    border-radius: 8px !important;
    box-shadow: 4px 4px 0px #1F2937 !important;
}

[data-testid="dropdown"] .item {
    color: #1F2937 !important;
    font-family: 'Comic Neue', cursive !important;
    font-weight: 700 !important;
}

[data-testid="dropdown"] .item:hover {
    background: #FACC15 !important;
}

[data-testid="dropdown"] .item.selected {
    background: #3B82F6 !important;
    color: #FFFFFF !important;
}

/* ===== 🎨 Primary 버튼 ===== */
.gr-button-primary,
button.primary,
.gr-button.primary,
.process-btn {
    background: #3B82F6 !important;
    border: 3px solid #1F2937 !important;
    border-radius: 8px !important;
    color: #FFFFFF !important;
    font-family: 'Bangers', cursive !important;
    font-weight: 400 !important;
    font-size: 1.3rem !important;
    letter-spacing: 2px !important;
    padding: 14px 28px !important;
    box-shadow: 5px 5px 0px #1F2937 !important;
    transition: all 0.1s ease !important;
    text-shadow: 1px 1px 0px #1F2937 !important;
}

.gr-button-primary:hover,
button.primary:hover,
.gr-button.primary:hover,
.process-btn:hover {
    background: #2563EB !important;
    transform: translate(-2px, -2px) !important;
    box-shadow: 7px 7px 0px #1F2937 !important;
}

.gr-button-primary:active,
button.primary:active,
.gr-button.primary:active,
.process-btn:active {
    transform: translate(3px, 3px) !important;
    box-shadow: 2px 2px 0px #1F2937 !important;
}

/* ===== 🎨 로그 출력 영역 ===== */
.info-log textarea {
    background: #1F2937 !important;
    color: #10B981 !important;
    font-family: 'Courier New', monospace !important;
    font-size: 0.9rem !important;
    font-weight: 400 !important;
    border: 3px solid #10B981 !important;
    border-radius: 8px !important;
    box-shadow: 4px 4px 0px #10B981 !important;
}

/* ===== 🎨 이미지/비디오 영역 ===== */
.gr-image,
.gr-video,
.image-container,
.video-container {
    border: 4px solid #1F2937 !important;
    border-radius: 8px !important;
    box-shadow: 8px 8px 0px #1F2937 !important;
    overflow: hidden !important;
    background: #FFFFFF !important;
}

/* ===== 🎨 슬라이더 스타일 ===== */
input[type="range"] {
    accent-color: #3B82F6 !important;
}

.gr-slider {
    background: #FFFFFF !important;
}

/* ===== 🎨 아코디언 ===== */
.gr-accordion {
    background: #FACC15 !important;
    border: 3px solid #1F2937 !important;
    border-radius: 8px !important;
    box-shadow: 4px 4px 0px #1F2937 !important;
}

.gr-accordion-header {
    color: #1F2937 !important;
    font-family: 'Comic Neue', cursive !important;
    font-weight: 700 !important;
    font-size: 1.1rem !important;
}

/* ===== 🎨 라벨 스타일 ===== */
label,
.gr-input-label,
.gr-block-label {
    color: #1F2937 !important;
    font-family: 'Comic Neue', cursive !important;
    font-weight: 700 !important;
    font-size: 1rem !important;
}

/* ===== 🎨 프로그레스 바 ===== */
.progress-bar,
.gr-progress-bar {
    background: #3B82F6 !important;
    border: 2px solid #1F2937 !important;
    border-radius: 4px !important;
}

/* ===== 🎨 스크롤바 ===== */
::-webkit-scrollbar {
    width: 12px;
    height: 12px;
}

::-webkit-scrollbar-track {
    background: #FEF9C3;
    border: 2px solid #1F2937;
}

::-webkit-scrollbar-thumb {
    background: #3B82F6;
    border: 2px solid #1F2937;
    border-radius: 0px;
}

::-webkit-scrollbar-thumb:hover {
    background: #EF4444;
}

/* ===== 🎨 선택 하이라이트 ===== */
::selection {
    background: #FACC15;
    color: #1F2937;
}

/* ===== 🎨 링크 스타일 ===== */
a {
    color: #3B82F6 !important;
    text-decoration: none !important;
    font-weight: 700 !important;
}

a:hover {
    color: #EF4444 !important;
}

/* ===== 🎨 Row/Column 간격 ===== */
.gr-row {
    gap: 1.5rem !important;
}

.gr-column {
    gap: 1rem !important;
}

/* ===== 반응형 조정 ===== */
@media (max-width: 768px) {
    .header-text h1 {
        font-size: 2.2rem !important;
        text-shadow: 
            3px 3px 0px #FACC15,
            4px 4px 0px #1F2937 !important;
    }
    
    .gr-button-primary,
    button.primary {
        padding: 12px 20px !important;
        font-size: 1.1rem !important;
    }
    
    .gr-panel,
    .block {
        box-shadow: 4px 4px 0px #1F2937 !important;
    }
    
    .stat-card {
        min-width: 100px !important;
        padding: 0.8rem 1rem !important;
    }
}

/* ===== 🎨 다크모드 비활성화 ===== */
@media (prefers-color-scheme: dark) {
    .gradio-container {
        background-color: #FEF9C3 !important;
    }
}
"""


# ============================================
# Build the Gradio Interface
# ============================================
with gr.Blocks(fill_height=True, title="Ansim Blur - Face Privacy Protection") as demo:
    
    # HOME Badge
    gr.HTML("""
        <div style="text-align: center; margin: 20px 0 10px 0;">
            <a href="https://www.humangen.ai" target="_blank" style="text-decoration: none;">
                <img src="https://img.shields.io/static/v1?label=🏠 HOME&message=HUMANGEN.AI&color=0000ff&labelColor=ffcc00&style=for-the-badge" alt="HOME">
            </a>
            <a href="https://discord.gg/openfreeai" target="_blank" style="text-decoration: none; margin-left: 10px;">
                <img src="https://img.shields.io/static/v1?label=Discord&message=OpenFree%20AI&color=5865F2&labelColor=1F2937&logo=discord&logoColor=white&style=for-the-badge" alt="Discord">
            </a>
        </div>
    """)
    
    # Header Title
    gr.Markdown(
        """
        # 🔒 ANSIM BLUR - FACE PRIVACY 🛡️
        """,
        elem_classes="header-text"
    )
    
    gr.Markdown(
        """
        <p class="subtitle">🎭 Advanced AI-Powered Face Detection & Privacy Protection! ✨</p>
        """,
    )
    
    # Stats Cards
    gr.HTML("""
        <div class="stats-row">
            <div class="stat-card">
                <span class="emoji">🖼️</span>
                <span class="label">Image Support</span>
            </div>
            <div class="stat-card">
                <span class="emoji">🎥</span>
                <span class="label">Video Processing</span>
            </div>
            <div class="stat-card">
                <span class="emoji">⚡</span>
                <span class="label">Real-time AI</span>
            </div>
            <div class="stat-card">
                <span class="emoji">🛡️</span>
                <span class="label">Privacy First</span>
            </div>
        </div>
    """)
    
    # Device Info
    gr.Markdown(f"""
        <p style="text-align: center; font-family: 'Comic Neue', cursive; font-weight: 700; color: #1F2937; margin: 1rem 0;">
            🖥️ Running on: <span style="color: #3B82F6;">{device.upper()}</span>
        </p>
    """)
    
    # Main Tabs
    with gr.Tabs():
        # ===== IMAGE TAB =====
        with gr.Tab("📸 Image Processing"):
            with gr.Row(equal_height=False):
                # Left Column - Input & Settings
                with gr.Column(scale=1, min_width=400):
                    input_image = gr.Image(
                        label="🖼️ Upload Image",
                        type="pil",
                        height=350
                    )
                    
                    with gr.Accordion("⚙️ Detection Settings", open=True):
                        conf_img = gr.Slider(
                            minimum=0.05,
                            maximum=0.9,
                            value=0.25,
                            step=0.01,
                            label="🎯 Confidence Threshold"
                        )
                        iou_img = gr.Slider(
                            minimum=0.1,
                            maximum=0.9,
                            value=0.45,
                            step=0.01,
                            label="📐 NMS IoU"
                        )
                        expand_img = gr.Slider(
                            minimum=0.0,
                            maximum=0.5,
                            value=0.05,
                            step=0.01,
                            label="🔲 Box Expansion"
                        )
                    
                    with gr.Accordion("🎨 Blur Settings", open=True):
                        mode_img = gr.Dropdown(
                            choices=["Gaussian Blur", "Mosaic Effect"],
                            value="Gaussian Blur",
                            label="🖌️ Style"
                        )
                        blur_intensity_img = gr.Slider(
                            minimum=15,
                            maximum=151,
                            value=51,
                            step=2,
                            label="💨 Blur Intensity"
                        )
                        mosaic_size_img = gr.Slider(
                            minimum=5,
                            maximum=40,
                            value=15,
                            step=1,
                            label="🧩 Mosaic Size"
                        )
                    
                    process_img_btn = gr.Button(
                        "🔍 PROCESS IMAGE! 🎭",
                        variant="primary",
                        size="lg",
                        elem_classes="process-btn"
                    )
                
                # Right Column - Output
                with gr.Column(scale=1, min_width=400):
                    output_image = gr.Image(
                        label="🖼️ Processed Result",
                        type="pil",
                        height=350
                    )
                    
                    with gr.Accordion("📜 Processing Log", open=True):
                        info_log_img = gr.Textbox(
                            label="",
                            placeholder="Upload an image and click process...",
                            lines=12,
                            max_lines=18,
                            interactive=False,
                            elem_classes="info-log"
                        )
        
        # ===== VIDEO TAB =====
        with gr.Tab("🎬 Video Processing"):
            with gr.Row(equal_height=False):
                # Left Column - Input & Settings
                with gr.Column(scale=1, min_width=400):
                    input_video = gr.Video(
                        label="🎥 Upload Video",
                        height=350
                    )
                    
                    with gr.Accordion("⚙️ Detection Settings", open=True):
                        conf_vid = gr.Slider(
                            minimum=0.05,
                            maximum=0.9,
                            value=0.25,
                            step=0.01,
                            label="🎯 Confidence Threshold"
                        )
                        iou_vid = gr.Slider(
                            minimum=0.1,
                            maximum=0.9,
                            value=0.45,
                            step=0.01,
                            label="📐 NMS IoU"
                        )
                        expand_vid = gr.Slider(
                            minimum=0.0,
                            maximum=0.5,
                            value=0.05,
                            step=0.01,
                            label="🔲 Box Expansion"
                        )
                    
                    with gr.Accordion("🎨 Blur Settings", open=True):
                        mode_vid = gr.Dropdown(
                            choices=["Gaussian Blur", "Mosaic Effect"],
                            value="Gaussian Blur",
                            label="🖌️ Style"
                        )
                        blur_intensity_vid = gr.Slider(
                            minimum=15,
                            maximum=151,
                            value=51,
                            step=2,
                            label="💨 Blur Intensity"
                        )
                        mosaic_size_vid = gr.Slider(
                            minimum=5,
                            maximum=40,
                            value=15,
                            step=1,
                            label="🧩 Mosaic Size"
                        )
                    
                    process_vid_btn = gr.Button(
                        "🎬 PROCESS VIDEO! 🛡️",
                        variant="primary",
                        size="lg",
                        elem_classes="process-btn"
                    )
                
                # Right Column - Output
                with gr.Column(scale=1, min_width=400):
                    output_video = gr.Video(
                        label="🎥 Processed Result",
                        height=350
                    )
                    
                    with gr.Accordion("📜 Processing Log", open=True):
                        info_log_vid = gr.Textbox(
                            label="",
                            placeholder="Upload a video and click process...",
                            lines=12,
                            max_lines=18,
                            interactive=False,
                            elem_classes="info-log"
                        )
    
    # Instructions
    gr.Markdown(
        """
        <div style="background: linear-gradient(135deg, #EFF6FF 0%, #DBEAFE 100%); border: 3px solid #3B82F6; border-radius: 12px; padding: 1.5rem; box-shadow: 6px 6px 0px #1F2937; margin-top: 2rem;">
            <h3 style="font-family: 'Bangers', cursive; color: #1F2937; font-size: 1.3rem; margin-bottom: 0.5rem;">📝 HOW TO USE</h3>
            <ol style="font-family: 'Comic Neue', cursive; color: #1F2937; font-weight: 700;">
                <li>Upload an image or video containing faces</li>
                <li>Adjust detection settings (confidence, IoU, expansion)</li>
                <li>Choose blur style (Gaussian or Mosaic)</li>
                <li>Click the Process button and wait for results</li>
                <li>Download your privacy-protected media!</li>
            </ol>
        </div>
        
        <div style="background: linear-gradient(135deg, #FEF3C7 0%, #FDE68A 100%); border: 3px solid #F59E0B; border-radius: 12px; padding: 1.5rem; box-shadow: 6px 6px 0px #1F2937; margin-top: 1rem;">
            <h3 style="font-family: 'Bangers', cursive; color: #1F2937; font-size: 1.3rem; margin-bottom: 0.5rem;">💡 TIPS</h3>
            <ul style="font-family: 'Comic Neue', cursive; color: #1F2937; font-weight: 700;">
                <li>Lower confidence = more faces detected (may include false positives)</li>
                <li>Higher blur intensity = stronger privacy protection</li>
                <li>Mosaic effect works better for artistic results</li>
                <li>Video processing may take time depending on length</li>
            </ul>
        </div>
        """
    )
    
    # Event Handlers
    process_img_btn.click(
        fn=process_image,
        inputs=[
            input_image,
            conf_img,
            iou_img,
            expand_img,
            mode_img,
            blur_intensity_img,
            mosaic_size_img
        ],
        outputs=[output_image, info_log_img]
    )
    
    process_vid_btn.click(
        fn=process_video,
        inputs=[
            input_video,
            conf_vid,
            iou_vid,
            expand_vid,
            mode_vid,
            blur_intensity_vid,
            mosaic_size_vid
        ],
        outputs=[output_video, info_log_vid]
    )


if __name__ == "__main__":
    demo.launch(css=css, ssr_mode=False)