init

app.py

@@ -5,7 +5,7 @@ import shutil
 import tempfile
 import time
 import json
-from util import process_image_edit, process_local_image_edit, download_and_check_result_nsfw
+from util import process_image_edit, download_and_check_result_nsfw
 from nfsw import NSFWDetector
 
 # i18n
@@ -58,7 +58,7 @@ IP_Query_Results = {}  # Track async query results
 
 # Restricted countries list (these countries have lower usage limits)
 RESTRICTED_COUNTRIES = ["印度", "巴基斯坦"]
-RESTRICTED_COUNTRY_LIMIT = 5  # Max usage for restricted countries
+RESTRICTED_COUNTRY_LIMIT = 3  # Max usage for restricted countries
 
 country_dict = {
     "zh": ["中国", "香港"],
@@ -724,11 +724,8 @@ def edit_image_interface(input_image, prompt, lang, request: gr.Request, progres
             # Generate action buttons HTML like Trump AI Voice
             action_buttons_html = ""
             if task_uuid:
-                # Create image-to-video URL with input image, end image, and prompt
-                from urllib.parse import quote
-                # Use result URL as end_image, original upload URL as input_image
-                encoded_prompt = quote(prompt.strip())
-                image_to_video_url = f"https://omnicreator.net/image-to-video?input_image={input_image_url}&end_image={result_url}&prompt={encoded_prompt}"
+                # Create task detail URL for downloading HD image
+                task_detail_url = f"https://omnicreator.net/my-creations/task/{task_uuid}"
                 action_buttons_html = f"""
                 <div style='display: flex; justify-content: center; gap: 15px; margin: 10px 0 5px 0; padding: 0px;'>
                     <a href='https://omnicreator.net/#generator' target='_blank' style='
@@ -748,7 +745,7 @@ def edit_image_interface(input_image, prompt, lang, request: gr.Request, progres
                         transition: all 0.3s ease;
                         border: none;
                     '>&#128640; Unlimited Generation</a>
-                    <a href='{image_to_video_url}' target='_blank' style='
+                    <a href='{task_detail_url}' target='_blank' style='
                         display: inline-flex; 
                         align-items: center;
                         justify-content: center;
@@ -764,7 +761,7 @@ def edit_image_interface(input_image, prompt, lang, request: gr.Request, progres
                         box-shadow: 0 4px 15px rgba(17, 153, 142, 0.4);
                         transition: all 0.3s ease;
                         border: none;
-                    '>&#127909; Turn Image to Video</a>
+                    '>&#128190; Download HD Image</a>
                 </div>
                 """
             
@@ -799,370 +796,6 @@ def edit_image_interface(input_image, prompt, lang, request: gr.Request, progres
         print(f"❌ Processing exception - IP: {client_ip}, error: {str(e)}")
         return None, t("error_processing_exception", lang).format(error=str(e)), gr.update(visible=False)
 
-def local_edit_interface(image_dict, prompt, reference_image, lang, request: gr.Request, progress=gr.Progress()):
-    """
-    Handle local editing requests (with phase-based limitations)
-    """
-    try:
-        # Extract user IP
-        client_ip = request.client.host
-        x_forwarded_for = dict(request.headers).get('x-forwarded-for')
-        if x_forwarded_for:
-            client_ip = x_forwarded_for   
-        if client_ip not in IP_Dict:
-            IP_Dict[client_ip] = 0
-        IP_Dict[client_ip] += 1
-
-        if image_dict is None:
-            return None, t("error_upload_and_draw", lang), gr.update(visible=False)
-        
-        # Handle different input formats for ImageEditor
-        if isinstance(image_dict, dict):
-            # ImageEditor dict format
-            if "background" not in image_dict or "layers" not in image_dict:
-                return None, t("error_draw_on_image", lang), gr.update(visible=False)
-            
-            base_image = image_dict["background"]
-            layers = image_dict["layers"]
-            
-            # Special handling: if background is None but composite exists, use composite
-            if base_image is None and "composite" in image_dict and image_dict["composite"] is not None:
-                print("🔧 Background is None, using composite instead")
-                base_image = image_dict["composite"]
-        else:
-            # Simple case: Direct PIL Image (from example)
-            base_image = image_dict
-            layers = []
-        
-        # Check for special example case - bypass mask requirement
-        is_example_case = prompt and prompt.startswith("EXAMPLE_PANDA_CAT_")
-        
-        # Debug: check current state
-        if is_example_case:
-            print(f"🔍 Example case detected - base_image is None: {base_image is None}")
-        
-        # Special handling for example case: load image directly from file
-        if is_example_case and base_image is None:
-            try:
-                from PIL import Image
-                import os
-                
-                main_path = "datas/panda01.jpeg"
-                print(f"🔍 Trying to load: {main_path}, exists: {os.path.exists(main_path)}")
-                
-                if os.path.exists(main_path):
-                    base_image = Image.open(main_path)
-                    print(f"✅ Successfully loaded example image: {base_image.size}")
-                else:
-                    return None, f"❌ Example image not found: {main_path}", gr.update(visible=False)
-            except Exception as e:
-                return None, f"❌ Failed to load example image: {str(e)}", gr.update(visible=False)
-        
-        # Additional check for base_image
-        if base_image is None:
-            if is_example_case:
-                print(f"❌ Example case but base_image still None!")
-            return None, t("error_no_image_found", lang), gr.update(visible=False)
-        
-        if not layers and not is_example_case:
-            return None, t("error_draw_on_image", lang), gr.update(visible=False)
-            
-        if not prompt or prompt.strip() == "":
-            return None, t("error_enter_prompt", lang), gr.update(visible=False)
-        
-        # Check prompt length
-        if len(prompt.strip()) <= 3:
-            return None, t("error_prompt_too_short", lang), gr.update(visible=False)
-    except Exception as e:
-        print(f"⚠️ Local edit request preprocessing error: {e}")
-        return None, t("error_request_processing", lang), gr.update(visible=False)
-    
-    # Get user current phase
-    current_phase = get_ip_phase(client_ip)
-    current_count = get_ip_generation_count(client_ip)
-    geo_info = IP_Country_Cache.get(client_ip, {"country": "Unknown", "region": "Unknown", "city": "Unknown"})
-    
-    print(f"📊 Local edit user phase info - IP: {client_ip}, Location: {geo_info['country']}/{geo_info['region']}/{geo_info['city']}, Phase: {current_phase}, Count: {current_count}")
-    
-    # Check if user reached the like button tip threshold  
-    show_like_tip = (current_count >= TIP_TRY_N)
-    
-    # Check if completely blocked
-    if current_phase == 'blocked':
-        # Generate blocked limit button
-        blocked_button_html = f"""
-        <div style='display: flex; justify-content: center; gap: 15px; margin: 10px 0 5px 0; padding: 0px;'>
-            <a href='https://omnicreator.net/#generator' target='_blank' style='
-                display: inline-flex; 
-                align-items: center;
-                justify-content: center;
-                padding: 16px 32px; 
-                background: linear-gradient(135deg, #e74c3c 0%, #c0392b 100%);
-                color: white; 
-                text-decoration: none; 
-                border-radius: 12px; 
-                font-weight: 600;
-                font-size: 16px;
-                text-align: center;
-                min-width: 200px;
-                box-shadow: 0 4px 15px rgba(231, 76, 60, 0.4);
-                transition: all 0.3s ease;
-                border: none;
-            '>&#128640; Unlimited Generation</a>
-        </div>
-        """
-        
-        # Use same message for all users to avoid discrimination perception
-        blocked_message = t("error_free_limit_reached", lang)
-        
-        return None, blocked_message, gr.update(value=blocked_button_html, visible=True)
-    
-    # Check rate limit (applies to rate_limit phases)
-    if current_phase in ['rate_limit_1', 'rate_limit_2', 'rate_limit_3']:
-        is_limited, wait_minutes, window_count = check_rate_limit_for_phase(client_ip, current_phase)
-        if is_limited:
-            wait_minutes_int = int(wait_minutes) + 1
-            # Generate rate limit button
-            rate_limit_button_html = f"""
-            <div style='display: flex; justify-content: center; gap: 15px; margin: 10px 0 5px 0; padding: 0px;'>
-                <a href='https://omnicreator.net/#generator' target='_blank' style='
-                    display: inline-flex; 
-                    align-items: center;
-                    justify-content: center;
-                    padding: 16px 32px; 
-                    background: linear-gradient(135deg, #f39c12 0%, #e67e22 100%);
-                    color: white; 
-                    text-decoration: none; 
-                    border-radius: 12px; 
-                    font-weight: 600;
-                    font-size: 16px;
-                    text-align: center;
-                    min-width: 200px;
-                    box-shadow: 0 4px 15px rgba(243, 156, 18, 0.4);
-                    transition: all 0.3s ease;
-                    border: none;
-                '>⏰ Skip Wait - Unlimited Generation</a>
-            </div>
-            """
-            return None, t("error_free_limit_wait", lang).format(wait_minutes_int=wait_minutes_int), gr.update(value=rate_limit_button_html, visible=True)
-    
-    # Handle NSFW detection based on phase
-    is_nsfw_task = False  # Track if this task involves NSFW content
-    
-    # Skip NSFW detection in free phase
-    if current_phase != 'free' and nsfw_detector is not None and base_image is not None:
-        try:
-            nsfw_result = nsfw_detector.predict_pil_label_only(base_image)
-            
-            if nsfw_result.lower() == "nsfw":
-                is_nsfw_task = True
-                print(f"🔍 Local edit input NSFW detected in {current_phase} phase: ❌❌❌ {nsfw_result} - IP: {client_ip} (will blur result)")
-            else:
-                print(f"🔍 Local edit input NSFW check passed: ✅✅✅ {nsfw_result} - IP: {client_ip}")
-                
-        except Exception as e:
-            print(f"⚠️ Local edit input NSFW detection failed: {e}")
-            # Allow continuation when detection fails
-
-    result_url = None
-    status_message = ""
-    
-    def progress_callback(message):
-        try:
-            nonlocal status_message
-            status_message = message
-            # Add error handling to prevent progress update failure
-            if progress is not None:
-                # Enhanced progress display with better formatting for local editing
-                if "Queue:" in message or "tasks ahead" in message:
-                    # Queue status - show with different progress value to indicate waiting
-                    progress(0.1, desc=message)
-                elif "Processing" in message or "AI is processing" in message:
-                    # Processing status
-                    progress(0.7, desc=message)
-                elif "Generating" in message or "Almost done" in message:
-                    # Generation status
-                    progress(0.9, desc=message)
-                else:
-                    # Default status
-                    progress(0.5, desc=message)
-        except Exception as e:
-            print(f"⚠️ Local edit progress update failed: {e}")
-    
-    try:
-        # Record generation attempt (before actual generation to ensure correct count)
-        record_generation_attempt(client_ip, current_phase)
-        updated_count = get_ip_generation_count(client_ip)
-        
-        print(f"✅ Local editing started - IP: {client_ip}, phase: {current_phase}, total count: {updated_count}, prompt: {prompt.strip()}", flush=True)
-        
-        # Clean prompt for API call
-        clean_prompt = prompt.strip()
-        if clean_prompt.startswith("EXAMPLE_PANDA_CAT_"):
-            clean_prompt = clean_prompt[18:]  # Remove the prefix
-        
-        # Call local image editing processing function
-        if is_example_case:
-            # For example case, pass special flag to use local mask file
-            input_image_url, result_url, message, task_uuid = process_local_image_edit(base_image, layers, clean_prompt, reference_image, progress_callback, use_example_mask="datas/panda01m.jpeg")
-        else:
-            # Normal case
-            input_image_url, result_url, message, task_uuid = process_local_image_edit(base_image, layers, clean_prompt, reference_image, progress_callback)
-        
-        if result_url:
-            print(f"✅ Local editing completed successfully - IP: {client_ip}, result_url: {result_url}, task_uuid: {task_uuid}", flush=True)
-            
-            # Detect result image NSFW content (only in rate limit phases)
-            if nsfw_detector is not None and current_phase != 'free':
-                try:
-                    if progress is not None:
-                        progress(0.9, desc=t("status_checking_result", lang))
-                    
-                    is_nsfw, nsfw_error = download_and_check_result_nsfw(result_url, nsfw_detector)
-                    
-                    if nsfw_error:
-                        print(f"⚠️ Local edit result image NSFW detection error - IP: {client_ip}, error: {nsfw_error}")
-                    elif is_nsfw:
-                        is_nsfw_task = True  # Mark task as NSFW
-                        print(f"🔍 Local edit result image NSFW detected in {current_phase} phase: ❌❌❌ - IP: {client_ip} (will blur result)")
-                    else:
-                        print(f"🔍 Local edit result image NSFW check passed: ✅✅✅ - IP: {client_ip}")
-                        
-                except Exception as e:
-                    print(f"⚠️ Local edit result image NSFW detection exception - IP: {client_ip}, error: {str(e)}")
-            
-            # Apply blur if this is an NSFW task in rate limit phases
-            should_blur = False
-            
-            if current_phase in ['rate_limit_1', 'rate_limit_2', 'rate_limit_3'] and is_nsfw_task:
-                should_blur = True
-            
-            # Apply blur processing
-            if should_blur:
-                if progress is not None:
-                    progress(0.95, desc=t("status_applying_filter", lang))
-                
-                blurred_image = apply_gaussian_blur_to_image_url(result_url)
-                if blurred_image is not None:
-                    final_result = blurred_image  # Return PIL Image object
-                    final_message = t("warning_content_filter", lang)
-                    print(f"🔒 Local edit applied Gaussian blur for NSFW content - IP: {client_ip}")
-                else:
-                    # Blur failed, return original URL with warning
-                    final_result = result_url
-                    final_message = t("warning_content_review", lang)
-                
-                # Generate NSFW button for blurred content
-                nsfw_action_buttons_html = f"""
-                <div style='display: flex; justify-content: center; gap: 15px; margin: 10px 0 5px 0; padding: 0px;'>
-                    <a href='https://omnicreator.net/#generator' target='_blank' style='
-                        display: inline-flex; 
-                        align-items: center;
-                        justify-content: center;
-                        padding: 16px 32px; 
-                        background: linear-gradient(135deg, #ff6b6b 0%, #feca57 100%);
-                        color: white; 
-                        text-decoration: none; 
-                        border-radius: 12px; 
-                        font-weight: 600;
-                        font-size: 16px;
-                        text-align: center;
-                        min-width: 200px;
-                        box-shadow: 0 4px 15px rgba(255, 107, 107, 0.4);
-                        transition: all 0.3s ease;
-                        border: none;
-                    '>🔥 Unlimited Creative Generation</a>
-                </div>
-                """
-                return final_result, final_message, gr.update(value=nsfw_action_buttons_html, visible=True)
-            else:
-                final_result = result_url
-                final_message = t("status_completed_message", lang).format(message=message)
-            
-            try:
-                if progress is not None:
-                    progress(1.0, desc=t("status_processing_completed", lang))
-            except Exception as e:
-                print(f"⚠️ Local edit final progress update failed: {e}")
-            
-            # Generate action buttons HTML like Trump AI Voice
-            action_buttons_html = ""
-            if task_uuid:
-                # Create image-to-video URL with input image, end image, and prompt
-                from urllib.parse import quote
-                # Use result URL as end_image, original upload URL as input_image
-                encoded_prompt = quote(clean_prompt)
-                image_to_video_url = f"https://omnicreator.net/image-to-video?input_image={input_image_url}&end_image={result_url}&prompt={encoded_prompt}"
-                action_buttons_html = f"""
-                <div style='display: flex; justify-content: center; gap: 15px; margin: 10px 0 5px 0; padding: 0px;'>
-                    <a href='https://omnicreator.net/local-inpaint' target='_blank' style='
-                        display: inline-flex; 
-                        align-items: center;
-                        justify-content: center;
-                        padding: 16px 32px; 
-                        background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
-                        color: white; 
-                        text-decoration: none; 
-                        border-radius: 12px; 
-                        font-weight: 600;
-                        font-size: 16px;
-                        text-align: center;
-                        min-width: 160px;
-                        box-shadow: 0 4px 15px rgba(102, 126, 234, 0.4);
-                        transition: all 0.3s ease;
-                        border: none;
-                    '>&#128640; Unlimited Generation</a>
-                    <a href='{image_to_video_url}' target='_blank' style='
-                        display: inline-flex; 
-                        align-items: center;
-                        justify-content: center;
-                        padding: 16px 32px; 
-                        background: linear-gradient(135deg, #11998e 0%, #38ef7d 100%);
-                        color: white; 
-                        text-decoration: none; 
-                        border-radius: 12px; 
-                        font-weight: 600;
-                        font-size: 16px;
-                        text-align: center;
-                        min-width: 160px;
-                        box-shadow: 0 4px 15px rgba(17, 153, 142, 0.4);
-                        transition: all 0.3s ease;
-                        border: none;
-                    '>&#127909; Turn Image to Video</a>
-                </div>
-                """
-            
-            # Add popup script if needed (using different approach)
-            if show_like_tip:
-                action_buttons_html += """
-                <div style='display: flex; justify-content: center; margin: 15px 0 5px 0; padding: 0px;'>
-                    <div style='
-                        display: inline-flex; 
-                        align-items: center;
-                        justify-content: center;
-                        padding: 12px 24px; 
-                        background: linear-gradient(135deg, #ff6b6b 0%, #feca57 100%);
-                        color: white; 
-                        border-radius: 10px; 
-                        font-weight: 600;
-                        font-size: 14px;
-                        text-align: center;
-                        max-width: 400px;
-                        box-shadow: 0 3px 12px rgba(255, 107, 107, 0.3);
-                        border: none;
-                    '>👉 Click the ❤️ Like button to unlock more free trial attempts!</div>
-                </div>
-                """
-            
-            return final_result, final_message, gr.update(value=action_buttons_html, visible=True)
-        else:
-            print(f"❌ Local editing processing failed - IP: {client_ip}, error: {message}", flush=True)
-            return None, t("error_processing_failed", lang).format(message=message), gr.update(visible=False)
-            
-    except Exception as e:
-        print(f"❌ Local editing exception - IP: {client_ip}, error: {str(e)}")
-        return None, t("error_processing_exception", lang).format(error=str(e)), gr.update(visible=False)
-
 # Create Gradio interface
 def create_app():
     with gr.Blocks(
@@ -1429,162 +1062,6 @@ def create_app():
                     inputs=[output_image],
                     outputs=[input_image]
                 )
-
-            with gr.Tab(t("local_inpaint_tab", "en")) as local_tab:
-                with gr.Row():
-                    with gr.Column(scale=1):
-                        upload_and_draw_mask_header = gr.Markdown(t("upload_and_draw_mask_header", "en"))
-                        local_input_image = gr.ImageEditor(
-                            label=t("upload_and_draw_mask_label", "en"),
-                            type="pil",
-                            height=512,
-                            brush=gr.Brush(colors=["#ff0000"], default_size=180),
-                            elem_classes=["upload-area"]
-                        )
-
-                        reference_image_header = gr.Markdown(t("reference_image_header", "en"))
-                        local_reference_image = gr.Image(
-                            label=t("reference_image_label", "en"),
-                            type="pil",
-                            height=256
-                        )
-                        
-                        local_editing_instructions_header = gr.Markdown(t("editing_instructions_header", "en"))
-                        local_prompt_input = gr.Textbox(
-                            label=t("local_prompt_input_label", "en"),
-                            placeholder=t("local_prompt_input_placeholder", "en"),
-                            lines=3,
-                            max_lines=5
-                        )
-                        
-                        local_edit_button = gr.Button(
-                            t("start_local_editing_button", "en"),
-                            variant="primary",
-                            size="lg"
-                        )
-                    
-                    with gr.Column(scale=1):
-                        local_editing_result_header = gr.Markdown(t("editing_result_header", "en"))
-                        local_output_image = gr.Image(
-                            label=t("local_output_image_label", "en"),
-                            height=320,
-                            elem_classes=["result-area"]
-                        )
-                        
-                        local_use_as_input_btn = gr.Button(
-                            t("use_as_input_button", "en"),
-                            variant="secondary",
-                            size="sm",
-                            elem_classes=["use-as-input-btn"]
-                        )
-                        
-                        local_status_output = gr.Textbox(
-                            label=t("status_output_label", "en"),
-                            lines=2,
-                            max_lines=3,
-                            interactive=False
-                        )
-                        
-                        local_action_buttons = gr.HTML(visible=False)
-             
-                local_edit_button.click(
-                    fn=local_edit_interface,
-                    inputs=[local_input_image, local_prompt_input, local_reference_image, lang_state],
-                    outputs=[local_output_image, local_status_output, local_action_buttons],
-                    show_progress=True,
-                    concurrency_limit=20
-                )
-                
-                def simple_local_use_as_input(output_img):
-                    if output_img is not None:
-                        return {
-                            "background": output_img,
-                            "layers": [],
-                            "composite": output_img
-                        }
-                    return None
-                
-                local_use_as_input_btn.click(
-                    fn=simple_local_use_as_input,
-                    inputs=[local_output_image],
-                    outputs=[local_input_image]
-                )
-                
-                # Local inpaint example
-                local_inpaint_example_header = gr.Markdown(t("local_inpaint_example_header", "en"))
-                
-                def load_local_example():
-                    """Load panda to cat transformation example - simplified, mask handled in backend"""
-                    try:
-                        from PIL import Image
-                        import os
-                        
-                        # Check file paths
-                        main_path = "datas/panda01.jpeg"
-                        ref_path = "datas/cat01.webp"
-                        
-                        # Load main image
-                        if not os.path.exists(main_path):
-                            return None, None, "EXAMPLE_PANDA_CAT_let the cat ride on the panda"
-                        
-                        main_img = Image.open(main_path)
-                        
-                        # Load reference image  
-                        if not os.path.exists(ref_path):
-                            ref_img = None
-                        else:
-                            ref_img = Image.open(ref_path)
-                        
-                        # ImageEditor format
-                        editor_data = {
-                            "background": main_img,
-                            "layers": [],
-                            "composite": main_img
-                        }
-                        
-                        # Special prompt to indicate this is the example case
-                        prompt = "EXAMPLE_PANDA_CAT_let the cat ride on the panda"
-                        
-                        # Return just the PIL image instead of dict format to avoid UI state issues
-                        return main_img, ref_img, prompt
-                        
-                    except Exception as e:
-                        return None, None, "EXAMPLE_PANDA_CAT_Transform the panda head into a cute cat head, keeping the body"
-                    
-                    # Example display
-                panda_to_cat_example_header = gr.Markdown(t("panda_to_cat_example_header", "en"))
-                with gr.Row():
-                    with gr.Column(scale=2):
-                        # Preview images for local example
-                        with gr.Row():
-                            try:
-                                gr.Image("datas/panda01.jpeg", label=t("main_image_label", "en"), height=120, width=120, show_label=True, interactive=False)
-                                gr.Image("datas/panda01m.jpeg", label=t("mask_label", "en"), height=120, width=120, show_label=True, interactive=False)
-                                gr.Image("datas/cat01.webp", label=t("reference_label", "en"), height=120, width=120, show_label=True, interactive=False)
-                            except:
-                                gr.Markdown("*Preview images not available*")
-                        panda_example_note = gr.Markdown(t("panda_example_note", "en"))
-                    with gr.Column(scale=1):
-                        load_panda_example_button = gr.Button(
-                            t("load_panda_example_button", "en"),
-                            size="lg",
-                            variant="secondary"
-                        )
-                        load_panda_example_button.click(
-                            fn=load_local_example,
-                            outputs=[local_input_image, local_reference_image, local_prompt_input]
-                        )
-                
-                # Add a refresh button to fix UI state issues
-                refresh_editor_button = gr.Button(
-                    t("refresh_editor_button", "en"), 
-                    size="sm",
-                    variant="secondary"
-                )
-                refresh_editor_button.click(
-                    fn=lambda: gr.update(),
-                    outputs=[local_input_image]
-                )
         
         # SEO Content Section
         seo_html = gr.HTML()
@@ -1782,10 +1259,6 @@ def create_app():
             header_title, news_banner, 
             global_tab, upload_image_header, input_image, editing_instructions_header, prompt_input, edit_button,
             editing_result_header, output_image, use_as_input_btn, status_output, prompt_examples_header,
-            local_tab, upload_and_draw_mask_header, local_input_image, reference_image_header, local_reference_image,
-            local_editing_instructions_header, local_prompt_input, local_edit_button, local_editing_result_header,
-            local_output_image, local_use_as_input_btn, local_status_output, local_inpaint_example_header,
-            panda_to_cat_example_header, panda_example_note, load_panda_example_button, refresh_editor_button,
             seo_html,
         ]
 
@@ -1821,23 +1294,6 @@ def create_app():
                 use_as_input_btn: gr.update(value=t("use_as_input_button", lang)),
                 status_output: gr.update(label=t("status_output_label", lang)),
                 prompt_examples_header: gr.update(value=t("prompt_examples_header", lang)),
-                local_tab: gr.update(label=t("local_inpaint_tab", lang)),
-                upload_and_draw_mask_header: gr.update(value=t("upload_and_draw_mask_header", lang)),
-                local_input_image: gr.update(label=t("upload_and_draw_mask_label", lang)),
-                reference_image_header: gr.update(value=t("reference_image_header", lang)),
-                local_reference_image: gr.update(label=t("reference_image_label", lang)),
-                local_editing_instructions_header: gr.update(value=t("editing_instructions_header", lang)),
-                local_prompt_input: gr.update(label=t("local_prompt_input_label", lang), placeholder=t("local_prompt_input_placeholder", lang)),
-                local_edit_button: gr.update(value=t("start_local_editing_button", lang)),
-                local_editing_result_header: gr.update(value=t("editing_result_header", lang)),
-                local_output_image: gr.update(label=t("local_output_image_label", lang)),
-                local_use_as_input_btn: gr.update(value=t("use_as_input_button", lang)),
-                local_status_output: gr.update(label=t("status_output_label", lang)),
-                local_inpaint_example_header: gr.update(value=t("local_inpaint_example_header", lang)),
-                panda_to_cat_example_header: gr.update(value=t("panda_to_cat_example_header", lang)),
-                panda_example_note: gr.update(value=t("panda_example_note", lang)),
-                load_panda_example_button: gr.update(value=t("load_panda_example_button", lang)),
-                refresh_editor_button: gr.update(value=t("refresh_editor_button", lang)),
                 seo_html: gr.update(value=get_seo_html(lang)),
             }