Phase 3 Optimization & Final Deployment

.env.example

@@ -0,0 +1,8 @@
+# Bot To'keni (Botfather dan olinadi)
+BOT_TOKEN=8669871278:AAFvGzurjasmBmV9SbHqtqLSjDkhwW5iDbA
+
+# Admin ID (Telegram ID)
+ADMIN_ID=373512294
+
+# Hugging Face token (Agar NudeNet yoki boshqa HF modellari shaxsiy bo'lsa)
+HF_TOKEN=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

deploy.sh

@@ -0,0 +1,27 @@
+#!/bin/bash
+# EditFiltrBot Deployment Script (Linux/Ubuntu)
+
+echo "🚀 EditFiltrBot serverga yuklanmoqda..."
+
+# 1. Tizim paketlarini yangilash
+sudo apt-get update
+sudo apt-get install -y docker.io docker-compose git
+
+# 2. Docker servisini yoqish
+sudo systemctl start docker
+sudo systemctl enable docker
+
+# 3. .env ni yaratish (agar yo'q bo'lsa)
+if [ ! -f .env ]; then
+    echo "⚙️ .env fayli topilmadi. .env.example nusxalanmoqda..."
+    cp .env.example .env
+    echo "⚠️ DIQQAT: .env fayl yaratildi. Iltimos, Token va Admin ID ni to'g'rilab chiqing (nano .env)"
+fi
+
+# 4. Dockerni tizimga tushirish qismi
+echo "🐳 Docker konteynerlar ishga tushirilmoqda..."
+sudo docker-compose down
+sudo docker-compose up -d --build
+
+echo "✅ Muvaffaqiyatli! Bot orqa fonda (24/7) ishlamoqda."
+echo "Loglarni ko'rish uchun: sudo docker-compose logs -f"

docker-compose.yml

@@ -0,0 +1,19 @@
+version: '3.8'
+
+services:
+  editfiltrbot:
+    build: .
+    container_name: editfiltrbot_container
+    restart: unless-stopped
+    env_file:
+      - .env
+    volumes:
+      - .:/app
+    environment:
+      - TZ=Asia/Tashkent
+    deploy:
+      resources:
+        limits:
+          memory: 4G
+        reservations:
+          memory: 2G

filters.py

@@ -103,8 +103,8 @@ def upscale_image(image_path, output_path, scale=2):
         new_size = (width * scale, height * scale)
         upscaled = cv2.resize(img, new_size, interpolation=cv2.INTER_LANCZOS4)
         
-        # Shovqinni tozalash (yuqori sifat)
-        upscaled = cv2.fastNlMeansDenoisingColored(upscaled, None, 6, 6, 7, 21)
+        # Shovqinni tozalash (tabiiy to'qimalarni saqlab qolish uchun yumshoqroq)
+        upscaled = cv2.fastNlMeansDenoisingColored(upscaled, None, 3, 3, 7, 21)
         
         pill_img = Image.fromarray(cv2.cvtColor(upscaled, cv2.COLOR_BGR2RGB))
         
@@ -224,8 +224,8 @@ def apply_face_restore(image_path, output_path):
             x2, y2 = min(img.shape[1], x + w + p), min(img.shape[0], y + h + p)
             face_roi = img[y1:y2, x1:x2]
             
-            # 1. Yuzni tekislash (skin smoothing - yengilroq Bilateral)
-            smoothed = cv2.bilateralFilter(face_roi, 7, 60, 60)
+            # 1. Yuzni tekislash (skin smoothing - juda yengil Bilateral filter plastmassa bo'lmasligi uchun)
+            smoothed = cv2.bilateralFilter(face_roi, 5, 25, 25)
             smoothed = cv2.medianBlur(smoothed, 3)
             
             # 2. Detallarni tabiiy qaytarish (Unsharp Mask)
@@ -278,7 +278,7 @@ def apply_auto_enhance(image_path, output_path):
         enhanced_final = cv2.cvtColor(hsv, cv2.COLOR_HSV2BGR)
         
         # Shovqinni yengil tozalash (xiralik oldini olish)
-        enhanced_final = cv2.fastNlMeansDenoisingColored(enhanced_final, None, 5, 5, 7, 15)
+        enhanced_final = cv2.fastNlMeansDenoisingColored(enhanced_final, None, 3, 3, 7, 15)
         
         cv2.imwrite(output_path, enhanced_final)
         return output_path
@@ -290,25 +290,117 @@ def apply_auto_enhance(image_path, output_path):
 #  YANGI VIDEO FILTRLAR (Phase 6)
 # ============================================================
 
-def process_video_slowmo(video_path, output_path, progress_callback=None):
-    """Videoni 2x sekinlashtiradi (Slow Motion)."""
+def process_video_slowmo(video_path, output_path, progress_callback=None, factor=2):
+    """Videoni Optical Flow (Farneback) orqali haqiqiy silliq sekinlashtiradi (Smooth Slow-Mo)."""
+    cap = None
+    writer = None
     try:
         video_path = os.path.abspath(video_path)
         output_path = os.path.abspath(output_path)
-        video = VideoFileClip(video_path)
-        slow_video = video.with_speed_scaled(0.5)
-        audio_params = {"audio_codec": "aac"} if video.audio else {"audio": False}
         
-        slow_video.write_videofile(
-            output_path, codec="libx264", fps=video.fps or 24, preset="ultrafast",
-            threads=4, logger=None, **audio_params
-        )
-        video.close()
-        slow_video.close()
+        cap = cv2.VideoCapture(video_path)
+        if not cap.isOpened():
+            return None
+        
+        orig_fps = cap.get(cv2.CAP_PROP_FPS) or 30
+        width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
+        height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
+        total_frames = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
+        
+        # Sekinlashtirish (kadrlar sonini oraliq kadrlar bilan oshiramiz)
+        target_fps = orig_fps # FPS bir xil qoladi, lekin kadr ko'payib video cho'ziladi
+        
+        temp_video_path = output_path + "_slw_temp.mp4"
+        fourcc = cv2.VideoWriter_fourcc(*'mp4v')
+        writer = cv2.VideoWriter(temp_video_path, fourcc, target_fps, (width, height))
+        
+        ret, prev_frame = cap.read()
+        if not ret:
+            cap.release()
+            return None
+            
+        frame_idx = 0
+        h, w = prev_frame.shape[:2]
+        y_coords, x_coords = np.mgrid[0:h, 0:w].astype(np.float32)
+        
+        while True:
+            ret, next_frame = cap.read()
+            if not ret:
+                writer.write(prev_frame)
+                break
+                
+            frame_idx += 1
+            if progress_callback and frame_idx % 5 == 0:
+                progress_callback(min(90, int((frame_idx / total_frames) * 90)))
+            
+            # Asl kadrni yozish
+            writer.write(prev_frame)
+            
+            # Optical Flow hisoblash (Faqat bitta yo'nalish yetarli slow-mo uchun)
+            prev_gray = cv2.cvtColor(prev_frame, cv2.COLOR_BGR2GRAY)
+            next_gray = cv2.cvtColor(next_frame, cv2.COLOR_BGR2GRAY)
+            
+            flow = cv2.calcOpticalFlowFarneback(
+                prev_gray, next_gray, None,
+                0.5, 3, 15, 3, 5, 1.2, 0
+            )
+            
+            # factor-1 ta oraliq kadrlarni interpolyatsiya qilish
+            for i in range(1, factor):
+                alpha = i / factor
+                flow_step = flow * alpha
+                map_x = (x_coords + flow_step[..., 0]).astype(np.float32)
+                map_y = (y_coords + flow_step[..., 1]).astype(np.float32)
+                
+                interpolated = cv2.remap(next_frame, map_x, map_y, cv2.INTER_LINEAR, borderMode=cv2.BORDER_REFLECT)
+                writer.write(interpolated)
+                
+            prev_frame = next_frame
+            
+        cap.release()
+        writer.release()
+        
+        # Audio uzaytirish yoki o'chirish (Slow mode da audio ko'pincha buzuladi)
+        try:
+            original = VideoFileClip(video_path)
+            processed = VideoFileClip(temp_video_path)
+            
+            if original.audio is not None:
+                slow_audio = original.audio.fx(importlib.import_module("moviepy.audio.fx.all").speedx, 1.0 / factor)
+                final = processed.set_audio(slow_audio)
+                final.write_videofile(output_path, codec="libx264", audio_codec="aac", preset="ultrafast", logger=None, threads=4)
+                final.close()
+            else:
+                processed.write_videofile(output_path, codec="libx264", preset="ultrafast", logger=None, threads=4)
+                
+            original.close()
+            processed.close()
+        except Exception as audio_err:
+            logger.warning(f"Sekinlashtirilgan audioni biriktirish xatosi (Audiosiz o'tildi): {audio_err}")
+            import shutil
+            shutil.move(temp_video_path, output_path)
+            
+        if os.path.exists(temp_video_path):
+            try: os.remove(temp_video_path)
+            except: pass
+            
+        if progress_callback:
+            progress_callback(99)
+            
         return output_path if os.path.exists(output_path) else None
+        
     except Exception as e:
-        logger.error(f"Slow Motion xatosi: {e}")
+        logger.error(f"Smooth Slow Motion xatosi: {e}")
         return None
+    finally:
+        if cap is not None:
+            try: cap.release()
+            except: pass
+        if writer is not None:
+            try: writer.release()
+            except: pass
+        import gc
+        gc.collect()
 
 def process_video_bw(video_path, output_path, progress_callback=None):
     """Videoni oq-qora (B&W) holatga o'tkazadi."""
@@ -567,7 +659,19 @@ def process_video_fps_boost(video_path, output_path, target_fps=60, progress_cal
                 gaussian = cv2.GaussianBlur(interpolated, (0, 0), 1.0)
                 interpolated = cv2.addWeighted(interpolated, 1.3, gaussian, -0.3, 0)
                 
+                
                 writer.write(interpolated)
+                
+                # RAM tozalash
+                del flow_f, map_x_f, map_y_f, warped_prev
+                del flow_b, map_x_b, map_y_b, warped_next
+                del interpolated, gaussian
+            
+            # Xotirani himoya qilish (Memory Leak oldini olish)
+            del prev_gray, next_gray, flow_forward, flow_backward
+            if frame_count % 30 == 0:
+                import gc
+                gc.collect()
             
             prev_frame = next_frame
         
@@ -774,14 +878,13 @@ def _transcribe_audio(audio_path):
         return [], "unknown"
 
 def _get_subtitle_font(font_size):
-    """Subtitr uchun shrift olish (bir marta cache qilinadi)."""
+    """Subtitr uchun aqlli shrift izlash (Impact eng zo'ri - Reel/TikTok uslubi)."""
     from PIL import ImageFont
     font_paths = [
-        "/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf",
-        "/usr/share/fonts/truetype/liberation/LiberationSans-Bold.ttf",
-        "/usr/share/fonts/truetype/freefont/FreeSansBold.ttf",
+        "C:/Windows/Fonts/impact.ttf",
         "C:/Windows/Fonts/arialbd.ttf",
-        "C:/Windows/Fonts/arial.ttf",
+        "/usr/share/fonts/truetype/msttcorefonts/Impact.ttf",
+        "/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf"
     ]
     for fp in font_paths:
         if os.path.exists(fp):
@@ -792,15 +895,15 @@ def _get_subtitle_font(font_size):
     return ImageFont.load_default()
 
 def _render_subtitle_on_frame(frame, current_text, font, font_size):
-    """Bitta kadrga subtitr yozish (umumiy yordamchi funksiya)."""
-    from PIL import ImageDraw
+    """Kadrga subtitrni zamonaviy TikTok/Reel uslubida (qalin stroke) chizish."""
+    from PIL import ImageDraw, Image
     
     h, w = frame.shape[:2]
     pil_img = Image.fromarray(frame)
     draw = ImageDraw.Draw(pil_img)
     
-    # Matnni satrlarga bo'lish
-    max_chars = max(25, int(w / (font_size * 0.5)))
+    # Matnni satrlarga bo'lish - qisqa bo'lishi (max 4-5 so'z) dinamik ko'rinadi
+    max_chars = min(20, int(w / (font_size * 0.6)))
     lines = []
     words = current_text.split()
     current_line = ""
@@ -818,49 +921,26 @@ def _render_subtitle_on_frame(frame, current_text, font, font_size):
     if not lines:
         return frame
     
-    # O'lchamlarni hisoblash
-    line_height = font_size + 4
+    line_height = font_size + int(font_size * 0.2)
     total_text_h = line_height * len(lines)
-    padding_x = 12
-    padding_y = 6
-    
-    # Har bir satr uchun kenglikni o'lchash va eng kengini olish
-    max_text_w = 0
-    line_widths = []
-    for line in lines:
-        bbox = draw.textbbox((0, 0), line, font=font)
-        tw = bbox[2] - bbox[0]
-        line_widths.append(tw)
-        max_text_w = max(max_text_w, tw)
     
-    # Fon o'lchami va joylashuvi (markazda, pastda)
-    bg_w = max_text_w + padding_x * 2
-    bg_h = total_text_h + padding_y * 2
-    bg_x = (w - bg_w) // 2
-    bg_y = h - bg_h - 16  # pastdan 16px bo'shliq
+    # Reels uslubi: Markaz-pastki
+    bg_y = int(h * 0.8) - total_text_h
     
-    # Yarim-shaffof kompakt fon (pill shakli)
-    overlay = np.array(pil_img).copy()
-    y1 = max(0, bg_y)
-    y2 = min(h, bg_y + bg_h)
-    x1 = max(0, bg_x)
-    x2 = min(w, bg_x + bg_w)
-    
-    # Fon: 60% qora (shaffof effekt)
-    overlay[y1:y2, x1:x2] = (overlay[y1:y2, x1:x2].astype(np.float32) * 0.4).astype(np.uint8)
-    
-    pil_img = Image.fromarray(overlay)
-    draw = ImageDraw.Draw(pil_img)
+    # TikTok qalin stroke efekti (stroke_width)
+    stroke_w = max(2, int(font_size * 0.08))
     
-    # Matnni markazda chizish
     for i, line in enumerate(lines):
-        tx = (w - line_widths[i]) // 2
-        ty = bg_y + padding_y + (i * line_height)
+        # Anchor o'rnatilmagan bo'lsa, qadimgi usulda kenglikni o'lchash
+        bbox = draw.textbbox((0, 0), line, font=font)
+        tw = bbox[2] - bbox[0]
         
-        # Yupqa soya (1px)
-        draw.text((tx + 1, ty + 1), line, font=font, fill=(0, 0, 0))
-        # Asosiy oq matn
-        draw.text((tx, ty), line, font=font, fill=(255, 255, 255))
+        tx = (w - tw) // 2
+        ty = bg_y + (i * line_height)
+        
+        # Oq matn, qora va qalin stroke
+        draw.text((tx, ty), line, font=font, fill=(255, 255, 255), 
+                  stroke_width=stroke_w, stroke_fill=(0, 0, 0))
     
     return np.array(pil_img)
 
@@ -1756,13 +1836,30 @@ def apply_style_transfer(image_path, output_path, style="anime"):
         
         if style == "anime":
             # Anime uslubi: Edge-preserving filter + rang kvantizatsiyasi
-            # 1. Ranglarni kamaytirish (kvantizatsiya)
-            Z = img.reshape((-1, 3)).astype(np.float32)
-            K = 16  # ranglar soni (yaxshiroq gradientlar)
-            criteria = (cv2.TERM_CRITERIA_EPS + cv2.TERM_CRITERIA_MAX_ITER, 20, 1.0)
-            _, labels, centers = cv2.kmeans(Z, K, None, criteria, 10, cv2.KMEANS_RANDOM_CENTERS)
+            
+            # 1. K-Means ni tezlashtirish uchun rasmni kichraytirish (masalan, kenglikni max 500px qilish)
+            h, w = img.shape[:2]
+            max_dim = 500
+            scale = min(1.0, max_dim / max(h, w))
+            if scale < 1.0:
+                small_img = cv2.resize(img, (int(w * scale), int(h * scale)), interpolation=cv2.INTER_AREA)
+            else:
+                small_img = img.copy()
+                
+            Z = small_img.reshape((-1, 3)).astype(np.float32)
+            K = 16  # ranglar soni
+            criteria = (cv2.TERM_CRITERIA_EPS + cv2.TERM_CRITERIA_MAX_ITER, 10, 1.0) # iteration qisqartirildi
+            _, labels, centers = cv2.kmeans(Z, K, None, criteria, 3, cv2.KMEANS_RANDOM_CENTERS)
             centers = np.uint8(centers)
-            quantized = centers[labels.flatten()].reshape(img.shape)
+            
+            # Kichik o'lchamdagi kvantizatsiyalangan rasm
+            quantized_small = centers[labels.flatten()].reshape(small_img.shape)
+            
+            # Kvantizatsiyalangan rasmni asl o'lchamga qaytarish (shovqinsiz kattalashtirish)
+            if scale < 1.0:
+                quantized = cv2.resize(quantized_small, (w, h), interpolation=cv2.INTER_NEAREST)
+            else:
+                quantized = quantized_small
             
             # 2. Qirralarni aniqlash
             gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
@@ -1797,24 +1894,38 @@ def apply_style_transfer(image_path, output_path, style="anime"):
             
         elif style == "cartoon":
             # Multfilm uslubi
-            gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
-            gray = cv2.medianBlur(gray, 5)
-            edges = cv2.adaptiveThreshold(gray, 255, cv2.ADAPTIVE_THRESH_MEAN_C, cv2.THRESH_BINARY, 9, 9)
+            h, w = img.shape[:2]
+            
+            # Ranglarni tekislash (Downscale qilish tezroq)
+            scale = min(1.0, 600 / max(h, w))
+            if scale < 1.0:
+                small_color = cv2.resize(img, (int(w * scale), int(h * scale)), interpolation=cv2.INTER_AREA)
+            else:
+                small_color = img.copy()
             
-            # Ranglarni tekislash
-            color = img.copy()
+            color = small_color
             for _ in range(5):
-                color = cv2.bilateralFilter(color, 9, 300, 300)
+                color = cv2.bilateralFilter(color, 9, 200, 200)
             
-            # Rang kvantizatsiyasi
+            # K-Means
             Z = color.reshape((-1, 3)).astype(np.float32)
             K = 8
-            criteria = (cv2.TERM_CRITERIA_EPS + cv2.TERM_CRITERIA_MAX_ITER, 20, 1.0)
-            _, labels, centers = cv2.kmeans(Z, K, None, criteria, 10, cv2.KMEANS_RANDOM_CENTERS)
+            criteria = (cv2.TERM_CRITERIA_EPS + cv2.TERM_CRITERIA_MAX_ITER, 10, 1.0)
+            _, labels, centers = cv2.kmeans(Z, K, None, criteria, 3, cv2.KMEANS_RANDOM_CENTERS)
             centers = np.uint8(centers)
-            color = centers[labels.flatten()].reshape(img.shape)
+            color_small_quant = centers[labels.flatten()].reshape(color.shape)
             
+            if scale < 1.0:
+                color = cv2.resize(color_small_quant, (w, h), interpolation=cv2.INTER_NEAREST)
+            else:
+                color = color_small_quant
+                
+            # Qirralar to'liq o'lchamda
+            gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+            gray = cv2.medianBlur(gray, 5)
+            edges = cv2.adaptiveThreshold(gray, 255, cv2.ADAPTIVE_THRESH_MEAN_C, cv2.THRESH_BINARY, 9, 9)
             edges_colored = cv2.cvtColor(edges, cv2.COLOR_GRAY2BGR)
+            
             result = cv2.bitwise_and(color, edges_colored)
             result = cv2.convertScaleAbs(result, alpha=1.3, beta=20)
         else:

main.py

@@ -229,53 +229,43 @@ async def start(update: Update, context: ContextTypes.DEFAULT_TYPE):
     await show_main_menu(update, context)
 
 async def handle_photo(update: Update, context: ContextTypes.DEFAULT_TYPE):
-    """Rasmlarni qabul qilish."""
+    """Rasmlarni qabul qilish va Kategoriyalangan Menyuni ko'rsatish."""
     try:
         photo = update.message.photo[-1]
         file_id = photo.file_id
         short_id = str(update.message.message_id)
         media_storage[short_id] = {"file_id": file_id, "type": "photo", "timestamp": datetime.now()}
         
-        text = "🖼 **Rasm qabul qilindi!**\nQanday mo''jiza yaratamiz?"
-        if photo.file_size < 150000:
-            text = "🔍 **Tahlil:** Rasm biroz xira. 'Ultra HD' yoki 'Face Fix' tavsiya etiladi!\n\n" + text
+        # 1. Haqiqiy Xiralikni tekshirish (Laplacian Variance)
+        is_blurry = False
+        try:
+            file = await context.bot.get_file(file_id)
+            input_path = os.path.join(base_dir, f"tmp_chk_{short_id}.jpg")
+            await file.download_to_drive(input_path)
+            import cv2
+            img_chk = cv2.imread(input_path, cv2.IMREAD_GRAYSCALE)
+            if img_chk is not None:
+                variance = cv2.Laplacian(img_chk, cv2.CV_64F).var()
+                if variance < 100:  # Odatda 100 dan pasti xira hisoblanadi
+                    is_blurry = True
+            if os.path.exists(input_path):
+                os.remove(input_path)
+        except Exception as filter_err:
+            logger.warning(f"Xiralikni tekshirish xatosi: {filter_err}")
+            
+        text = "🖼 **Rasm qabul qilindi!**\nO'zingizga kerakli bo'limni tanlang 👇"
+        if is_blurry:
+            text = "🔍 **Tahlil:** Rasm xiraroq ko'rinmoqda. 'AI Asboblar' bo'limidan sifatni oshirish tavsiya etiladi!\n\n" + text
 
+        # KATEGORIYALANGAN MENYU (Asosiy)
         keyboard = [
             [
-                InlineKeyboardButton("📸 Retro Kamera", callback_data=f"r|p|{short_id}"),
-                InlineKeyboardButton("✨ Sifatni Oshirish", callback_data=f"u|p|{short_id}")
-            ],
-            [
-                InlineKeyboardButton("👤 Yuzni Tiniqlash", callback_data=f"f|p|{short_id}"),
-                InlineKeyboardButton("🪄 Avto-Tahrir", callback_data=f"a|p|{short_id}")
-            ],
-            [
-                InlineKeyboardButton("💎 Sifat+ (Pro)", callback_data=f"qb|p|{short_id}"),
-                InlineKeyboardButton("🛡️ Media Qalqon", callback_data=f"n|p|{short_id}")
-            ],
-            [
-                InlineKeyboardButton("🪄 Glitch Effekt", callback_data=f"gl|p|{short_id}"),
-                InlineKeyboardButton("🪞 Oyna Effekt", callback_data=f"mr|p|{short_id}")
-            ],
-            [
-                InlineKeyboardButton("🎨 Shaffof Fon", callback_data=f"bg_t|p|{short_id}"),
-                InlineKeyboardButton("⬜ Oq Fon", callback_data=f"bg_w|p|{short_id}")
-            ],
-            [
-                InlineKeyboardButton("⬛ Qora Fon", callback_data=f"bg_k|p|{short_id}"),
-                InlineKeyboardButton("🌫️ Blur Fon", callback_data=f"bg_b|p|{short_id}")
-            ],
-            [
-                InlineKeyboardButton("🌈 Gradient Fon", callback_data=f"bg_c|p|{short_id}"),
-                InlineKeyboardButton("📱 Suv belgisi", callback_data=f"wm|p|{short_id}")
-            ],
-            [
-                InlineKeyboardButton("🖌️ Anime Uslub", callback_data=f"st_anime|p|{short_id}"),
-                InlineKeyboardButton("🖌️ Qalam Uslub", callback_data=f"st_sketch|p|{short_id}")
+                InlineKeyboardButton("🪄 Effektlar", callback_data=f"cat_fx|p|{short_id}"),
+                InlineKeyboardButton("🤖 AI Asboblar", callback_data=f"cat_ai|p|{short_id}")
             ],
             [
-                InlineKeyboardButton("🖌️ Moybo'yoq", callback_data=f"st_oil|p|{short_id}"),
-                InlineKeyboardButton("🖌️ Multfilm", callback_data=f"st_cart|p|{short_id}")
+                InlineKeyboardButton("🎨 Fon (Tahrirlash)", callback_data=f"cat_bg|p|{short_id}"),
+                InlineKeyboardButton("🖌️ Badiiy Uslublar", callback_data=f"cat_st|p|{short_id}")
             ],
             [
                 InlineKeyboardButton("🔙 Bekor qilish", callback_data="nav|main")
@@ -315,7 +305,7 @@ async def handle_text(update: Update, context: ContextTypes.DEFAULT_TYPE):
 
 
 async def handle_video(update: Update, context: ContextTypes.DEFAULT_TYPE):
-    """Videolarni qabul qilish."""
+    """Videolarni qabul qilish va Kategoriyalangan Menyuni ko'rsatish."""
     try:
         message = update.message
         video = message.video or message.animation or message.document
@@ -333,57 +323,21 @@ async def handle_video(update: Update, context: ContextTypes.DEFAULT_TYPE):
         short_id = str(message.message_id)
         media_storage[short_id] = {"file_id": file_id, "type": "video", "timestamp": datetime.now()}
         
+        # KATEGORIYALANGAN MENYU (Video uchun)
         keyboard = [
             [
-                InlineKeyboardButton("🎞️ Retro Video", callback_data=f"r|v|{short_id}"),
-                InlineKeyboardButton("✨ Sifatni Oshirish", callback_data=f"u|v|{short_id}")
-            ],
-            [
-                InlineKeyboardButton("🐢 Sekinlashtirish", callback_data=f"s|v|{short_id}"),
-                InlineKeyboardButton("⚫ Oq-Qora", callback_data=f"bw|v|{short_id}")
-            ],
-            [
-                InlineKeyboardButton("🎨 Ranglarni Tahrirlash", callback_data=f"cc|v|{short_id}"),
-                InlineKeyboardButton("🔇 Ovozni O'chirish", callback_data=f"ra|v|{short_id}")
-            ],
-            [
-                InlineKeyboardButton("✂️ Kesish (O'rtasidan)", callback_data=f"t|v|{short_id}"),
-                InlineKeyboardButton("👤 Yuzni Tiniqlash", callback_data=f"vf|v|{short_id}")
-            ],
-            [
-                InlineKeyboardButton("🪄 Avto-Tahrir", callback_data=f"va|v|{short_id}")
-            ],
-            [
-                InlineKeyboardButton("🚀 30 FPS", callback_data=f"fps30|v|{short_id}"),
-                InlineKeyboardButton("🚀 60 FPS", callback_data=f"fps60|v|{short_id}"),
-                InlineKeyboardButton("🚀 120 FPS", callback_data=f"fps120|v|{short_id}")
-            ],
-            [
-                InlineKeyboardButton("🛡️ Media Qalqon", callback_data=f"n|v|{short_id}")
-            ],
-            [
-                InlineKeyboardButton("📝 Avto-Taglavha", callback_data=f"sub|v|{short_id}")
+                InlineKeyboardButton("🪄 Effektlar", callback_data=f"cv_fx|v|{short_id}"),
+                InlineKeyboardButton("🤖 AI Kadrlar", callback_data=f"cv_ai|v|{short_id}")
             ],
             [
-                InlineKeyboardButton("🪄 Glitch Effekt", callback_data=f"gl|v|{short_id}"),
-                InlineKeyboardButton("🪞 Oyna Effekt", callback_data=f"mr|v|{short_id}")
-            ],
-            [
-                InlineKeyboardButton("📱 Suv belgisi", callback_data=f"wm|v|{short_id}"),
-                InlineKeyboardButton("📹 Stabilizatsiya", callback_data=f"stb|v|{short_id}")
-            ],
-            [
-                InlineKeyboardButton("🌐 Sub+O'zbek", callback_data=f"stuz|v|{short_id}"),
-                InlineKeyboardButton("🌐 Sub+Rus", callback_data=f"stru|v|{short_id}")
-            ],
-            [
-                InlineKeyboardButton("🌐 Sub+English", callback_data=f"sten|v|{short_id}")
+                InlineKeyboardButton("🛠 Uzunlik va Ovoz", callback_data=f"cv_ed|v|{short_id}"),
+                InlineKeyboardButton("📝 Subtitr va Tarjima", callback_data=f"cv_sb|v|{short_id}")
             ],
             [
                 InlineKeyboardButton("🔙 Bekor qilish", callback_data="nav|main")
             ]
         ]
-        await update.message.reply_text("🎥 **Video qabul qilindi!**\nQanday effekt beramiz?", reply_markup=InlineKeyboardMarkup(keyboard), parse_mode=constants.ParseMode.MARKDOWN)
+        await update.message.reply_text("🎥 **Video qabul qilindi!**\nQanday mo'jiza yaratamiz? 👇", reply_markup=InlineKeyboardMarkup(keyboard), parse_mode=constants.ParseMode.MARKDOWN)
     except Exception as e:
         logger.error(f"Error in handle_video: {e}")
         await update.message.reply_text("❌ Xatolik yuz berdi.")
@@ -485,13 +439,93 @@ async def handle_callback(update: Update, context: ContextTypes.DEFAULT_TYPE):
                                          reply_markup=InlineKeyboardMarkup(keyboard), parse_mode=constants.ParseMode.MARKDOWN)
         return
     
+    # KATEGORIYA MENYULARINI QAYTA ISHLASH (Sub-menyular)
+    if query.data.startswith("cat_") or query.data.startswith("cv_"):
+        data_parts = query.data.split("|")
+        cat_type = data_parts[0]
+        m_type = data_parts[1]
+        short_id = data_parts[2]
+        
+        keyboard = []
+        text = "Tanlang 👇"
+        
+        # --- RASM KATEGORIYALARI ---
+        if cat_type == "cat_fx":
+            text = "🪄 **Rasm Effektlari:**"
+            keyboard = [
+                [InlineKeyboardButton("📸 Retro Kamera", callback_data=f"r|p|{short_id}"), InlineKeyboardButton("🪄 Glitch", callback_data=f"gl|p|{short_id}")],
+                [InlineKeyboardButton("🪞 Oyna", callback_data=f"mr|p|{short_id}"), InlineKeyboardButton("📱 Suv belgisi", callback_data=f"wm|p|{short_id}")],
+                [InlineKeyboardButton("🔙 Orqaga", callback_data="nav|main")]
+            ]
+        elif cat_type == "cat_ai":
+            text = "🤖 **AI Asboblar:**"
+            keyboard = [
+                [InlineKeyboardButton("✨ Sifat (Ultra HD)", callback_data=f"u|p|{short_id}"), InlineKeyboardButton("👤 Yuz (Face Fix)", callback_data=f"f|p|{short_id}")],
+                [InlineKeyboardButton("🪄 Avto-Tahrir", callback_data=f"a|p|{short_id}"), InlineKeyboardButton("💎 Sifat+ (Pro)", callback_data=f"qb|p|{short_id}")],
+                [InlineKeyboardButton("🛡️ Media Qalqon", callback_data=f"n|p|{short_id}")],
+                [InlineKeyboardButton("🔙 Orqaga", callback_data="nav|main")]
+            ]
+        elif cat_type == "cat_bg":
+            text = "🎨 **Fonni Tahrirlash (AI):**"
+            keyboard = [
+                [InlineKeyboardButton("🎨 Shaffof", callback_data=f"bg_t|p|{short_id}"), InlineKeyboardButton("⬜ Oq Fon", callback_data=f"bg_w|p|{short_id}")],
+                [InlineKeyboardButton("⬛ Qora Fon", callback_data=f"bg_k|p|{short_id}"), InlineKeyboardButton("🌫️ Blur", callback_data=f"bg_b|p|{short_id}")],
+                [InlineKeyboardButton("🌈 Gradient", callback_data=f"bg_c|p|{short_id}")],
+                [InlineKeyboardButton("🔙 Orqaga", callback_data="nav|main")]
+            ]
+        elif cat_type == "cat_st":
+            text = "🖌️ **Badiiy Uslublar (AI):**"
+            keyboard = [
+                [InlineKeyboardButton("🖌️ Anime", callback_data=f"st_anime|p|{short_id}"), InlineKeyboardButton("🖌️ Qalam", callback_data=f"st_sketch|p|{short_id}")],
+                [InlineKeyboardButton("🖌️ Moybo'yoq", callback_data=f"st_oil|p|{short_id}"), InlineKeyboardButton("🖌️ Multfilm", callback_data=f"st_cart|p|{short_id}")],
+                [InlineKeyboardButton("🔙 Orqaga", callback_data="nav|main")]
+            ]
+            
+        # --- VIDEO KATEGORIYALARI ---
+        elif cat_type == "cv_fx":
+            text = "🪄 **Video Effektlari:**"
+            keyboard = [
+                [InlineKeyboardButton("🎞️ Retro", callback_data=f"r|v|{short_id}"), InlineKeyboardButton("⚫ Oq-Qora", callback_data=f"bw|v|{short_id}")],
+                [InlineKeyboardButton("🪄 Glitch", callback_data=f"gl|v|{short_id}"), InlineKeyboardButton("🪞 Oyna", callback_data=f"mr|v|{short_id}")],
+                [InlineKeyboardButton("🎨 Rang Tahrir", callback_data=f"cc|v|{short_id}"), InlineKeyboardButton("📱 Suv belgisi", callback_data=f"wm|v|{short_id}")],
+                [InlineKeyboardButton("🔙 Orqaga", callback_data="nav|main")]
+            ]
+        elif cat_type == "cv_ai":
+            text = "🤖 **Video AI Kadrlar:**"
+            keyboard = [
+                [InlineKeyboardButton("✨ Sifatni Oshirish", callback_data=f"u|v|{short_id}"), InlineKeyboardButton("👤 Yuzni Tiniqlash", callback_data=f"vf|v|{short_id}")],
+                [InlineKeyboardButton("🪄 Avto-Tahrir", callback_data=f"va|v|{short_id}"), InlineKeyboardButton("🛡️ Media Qalqon", callback_data=f"n|v|{short_id}")],
+                [InlineKeyboardButton("📹 Stabilizatsiya", callback_data=f"stb|v|{short_id}")],
+                [InlineKeyboardButton("🚀 30 FPS", callback_data=f"fps30|v|{short_id}"), InlineKeyboardButton("🚀 60 FPS", callback_data=f"fps60|v|{short_id}")],
+                [InlineKeyboardButton("🚀 120 FPS", callback_data=f"fps120|v|{short_id}")],
+                [InlineKeyboardButton("🔙 Orqaga", callback_data="nav|main")]
+            ]
+        elif cat_type == "cv_ed":
+            text = "🛠 **Uzunlik va Ovoz:**"
+            keyboard = [
+                [InlineKeyboardButton("🐢 Sekinlashtirish", callback_data=f"s|v|{short_id}"), InlineKeyboardButton("✂️ Kesish", callback_data=f"t|v|{short_id}")],
+                [InlineKeyboardButton("🔇 Ovozni O'chirish", callback_data=f"ra|v|{short_id}")],
+                [InlineKeyboardButton("🔙 Orqaga", callback_data="nav|main")]
+            ]
+        elif cat_type == "cv_sb":
+            text = "📝 **Subtitr va Tarjima (AI):**"
+            keyboard = [
+                [InlineKeyboardButton("📝 Avto-Taglavha (Asl)", callback_data=f"sub|v|{short_id}")],
+                [InlineKeyboardButton("🌐 Sub+O'zbek", callback_data=f"stuz|v|{short_id}"), InlineKeyboardButton("🌐 Sub+Rus", callback_data=f"stru|v|{short_id}")],
+                [InlineKeyboardButton("🌐 Sub+English", callback_data=f"sten|v|{short_id}")],
+                [InlineKeyboardButton("🔙 Orqaga", callback_data="nav|main")]
+            ]
+            
+        await query.edit_message_text(text, reply_markup=InlineKeyboardMarkup(keyboard), parse_mode=constants.ParseMode.MARKDOWN)
+        return
+
     # [Avvalgi button_handler mantiqi davom etadi...]
     try:
         data = query.data.split("|")
         action, m_type, short_id = data[0], data[1], data[2]
         
         if short_id not in media_storage:
-            await query.edit_message_text("⚠️ Media ma'lumotlari topilmadi. Iltimos, qayta yuboring.")
+            await query.edit_message_text("⚠️ Media ma'lumotlari xotiradan tozalangan. Iltimos, aserni qayta yuboring.")
             return
 
         # Spam himoyasi: foydalanuvchi juda tez-tez so'rov yuborsa bloklash

requirements.txt

@@ -13,5 +13,7 @@ nudenet
 onnxruntime
 faster-whisper
 rembg[cpu]
+pymatting
+scipy
 deep-translator
 huggingface_hub