Update app.py

app.py

@@ -46,7 +46,7 @@ def image_to_data_uri(image_path: str) -> str:
 def run_single_image_logic(prompt: str, image_path: Optional[str] = None, progress=gr.Progress()) -> str:
     """Handles text-to-image or single image-to-image using Replicate's Nano Banana."""
     try:
-        progress(0.2, desc="🎨 준비 중...")
+        progress(0.2, desc="🎨 Preparing...")
         
         # Prepare input for Replicate API
         input_data = {
@@ -59,7 +59,7 @@ def run_single_image_logic(prompt: str, image_path: Optional[str] = None, progre
             data_uri = image_to_data_uri(image_path)
             input_data["image_input"] = [data_uri]
         
-        progress(0.5, desc="✨ 생성 중...")
+        progress(0.5, desc="✨ Generating...")
         
         # Run the model on Replicate
         output = replicate.run(
@@ -67,7 +67,7 @@ def run_single_image_logic(prompt: str, image_path: Optional[str] = None, progre
             input=input_data
         )
         
-        progress(0.8, desc="🖼️ 마무리 중...")
+        progress(0.8, desc="🖼️ Finalizing...")
         
         # Handle the output - output is already a URL string or FileObject
         if output:
@@ -97,7 +97,7 @@ def run_single_image_logic(prompt: str, image_path: Optional[str] = None, progre
             img = Image.open(BytesIO(response.content))
             with tempfile.NamedTemporaryFile(delete=False, suffix=".png") as tmpfile:
                 img.save(tmpfile.name)
-                progress(1.0, desc="✅ 완료!")
+                progress(1.0, desc="✅ Complete!")
                 return tmpfile.name
         else:
             raise ValueError("No output received from Replicate API")
@@ -107,17 +107,17 @@ def run_single_image_logic(prompt: str, image_path: Optional[str] = None, progre
         print(f"Error type: {type(e)}")
         print(f"Output value: {output if 'output' in locals() else 'Not set'}")
         print(f"Output type: {type(output) if 'output' in locals() else 'Not set'}")
-        raise gr.Error(f"이미지 생성 실패: {e}")
+        raise gr.Error(f"Image generation failed: {e}")
 
 def run_multi_image_logic(prompt: str, images: List[str], progress=gr.Progress()) -> str:
     """
     Handles multi-image editing by sending a list of images and a prompt.
     """
     if not images:
-        raise gr.Error("'여러 이미지' 탭에서 최소 한 개의 이미지를 업로드해주세요.")
+        raise gr.Error("Please upload at least one image in the 'Multiple Images' tab.")
     
     try:
-        progress(0.2, desc="🎨 이미지 준비 중...")
+        progress(0.2, desc="🎨 Preparing images...")
         
         # Convert all images to data URI format
         data_uris = []
@@ -133,7 +133,7 @@ def run_multi_image_logic(prompt: str, images: List[str], progress=gr.Progress()
             "image_input": data_uris
         }
 
-        progress(0.5, desc="✨ 생성 중...")
+        progress(0.5, desc="✨ Generating...")
         
         # Run the model on Replicate
         output = replicate.run(
@@ -141,7 +141,7 @@ def run_multi_image_logic(prompt: str, images: List[str], progress=gr.Progress()
             input=input_data
         )
         
-        progress(0.8, desc="🖼️ 마무리 중...")
+        progress(0.8, desc="🖼️ Finalizing...")
         
         # Handle the output - output is already a URL string or FileObject
         if output:
@@ -171,7 +171,7 @@ def run_multi_image_logic(prompt: str, images: List[str], progress=gr.Progress()
             img = Image.open(BytesIO(response.content))
             with tempfile.NamedTemporaryFile(delete=False, suffix=".png") as tmpfile:
                 img.save(tmpfile.name)
-                progress(1.0, desc="✅ 완료!")
+                progress(1.0, desc="✅ Complete!")
                 return tmpfile.name
         else:
             raise ValueError("No output received from Replicate API")
@@ -180,7 +180,7 @@ def run_multi_image_logic(prompt: str, images: List[str], progress=gr.Progress()
         print(f"Multi-image error details: {e}")
         print(f"Output value: {output if 'output' in locals() else 'Not set'}")
         print(f"Output type: {type(output) if 'output' in locals() else 'Not set'}")
-        raise gr.Error(f"이미지 생성 실패: {e}")
+        raise gr.Error(f"Image generation failed: {e}")
 
 # --- Gradio App UI ---
 css = '''
@@ -364,7 +364,7 @@ with gr.Blocks(theme=gr.themes.Soft(), css=css) as demo:
             🍌 Real Nano Banana
         </h1>
         <p class="header-subtitle">
-            Google Nano Banana로 구동되는 AI 이미지 생성기
+            AI Image Generator powered by Google Nano Banana
         </p>
     </div>
     ''')
@@ -375,7 +375,7 @@ with gr.Blocks(theme=gr.themes.Soft(), css=css) as demo:
                 border-radius: 0.5rem; padding: 1rem; margin-bottom: 1.5rem; 
                 border-left: 4px solid #0284c7;">
         <p style="margin: 0; color: #075985; font-weight: 600;">
-            🔐 이 서비스를 사용하려면 Hugging Face 계정��로 로그인해주세요.
+            🔐 Please sign in with your Hugging Face account to use this service.
         </p>
     </div>
     ''')
@@ -389,53 +389,53 @@ with gr.Blocks(theme=gr.themes.Soft(), css=css) as demo:
                 gr.HTML('<div class="card">')
                 
                 # Mode Selection
-                gr.HTML('<h3 style="margin-top: 0;">📸 모드 선택</h3>')
+                gr.HTML('<h3 style="margin-top: 0;">📸 Select Mode</h3>')
                 active_tab_state = gr.State(value="single")
                 
                 with gr.Tabs(elem_classes="tabs") as tabs:
-                    with gr.TabItem("🖼️ 단일 이미지", id="single") as single_tab:
+                    with gr.TabItem("🖼️ Single Image", id="single") as single_tab:
                         image_input = gr.Image(
                             type="filepath",
-                            label="입력 이미지 (선택사항)",
+                            label="Input Image (Optional)",
                             elem_classes="image-input"
                         )
                         gr.HTML('''
                         <p style="text-align: center; color: #6b7280; font-size: 0.9rem; margin-top: 0.5rem;">
-                            💡 텍스트→이미지 생성은 비워두세요
+                            💡 Leave empty for text-to-image generation
                         </p>
                         ''')
                         
-                    with gr.TabItem("🎨 다중 이미지", id="multiple") as multi_tab:
+                    with gr.TabItem("🎨 Multiple Images", id="multiple") as multi_tab:
                         gallery_input = gr.Gallery(
-                            label="입력 이미지들", 
+                            label="Input Images", 
                             file_types=["image"],
                             elem_classes="gallery-input"
                         )
                         gr.HTML('''
                         <p style="text-align: center; color: #6b7280; font-size: 0.9rem; margin-top: 0.5rem;">
-                            💡 여러 이미지를 드래그 앤 드롭하세요
+                            💡 Drag and drop multiple images here
                         </p>
                         ''')
                 
                 # Prompt Input
-                gr.HTML('<h3>✍️ 프롬프트</h3>')
+                gr.HTML('<h3>✍️ Prompt</h3>')
                 prompt_input = gr.Textbox(
                     label="",
-                    info="AI에게 원하는 이미지를 설명하세요",
-                    placeholder="예: 맛있어 보이는 피자, 우주를 배경으로 한 고양이, 미래적인 도시 풍경...",
+                    info="Describe what you want the AI to generate",
+                    placeholder="e.g., A delicious pizza, a cat in space, futuristic cityscape...",
                     lines=3,
                     elem_classes="prompt-input"
                 )
                 
                 # Generate Button
                 generate_button = gr.Button(
-                    "🚀 생성하기", 
+                    "🚀 Generate", 
                     variant="primary",
                     elem_classes="generate-btn"
                 )
                 
                 # Examples
-                with gr.Accordion("💡 예제 프롬프트", open=False):
+                with gr.Accordion("💡 Example Prompts", open=False):
                     gr.Examples(
                         examples=[
                             ["A delicious looking pizza with melting cheese"],
@@ -453,7 +453,7 @@ with gr.Blocks(theme=gr.themes.Soft(), css=css) as demo:
 
             with gr.Column(scale=1):
                 gr.HTML('<div class="card">')
-                gr.HTML('<h3 style="margin-top: 0;">🎨 생성 결과</h3>')
+                gr.HTML('<h3 style="margin-top: 0;">🎨 Generated Result</h3>')
                 
                 output_image = gr.Image(
                     label="", 
@@ -462,7 +462,7 @@ with gr.Blocks(theme=gr.themes.Soft(), css=css) as demo:
                 )
                 
                 use_image_button = gr.Button(
-                    "♻️ 이 이미지를 다음 편집에 사용", 
+                    "♻️ Use this image for next edit", 
                     elem_classes="use-btn",
                     visible=False
                 )
@@ -470,12 +470,12 @@ with gr.Blocks(theme=gr.themes.Soft(), css=css) as demo:
                 # Tips
                 gr.HTML('''
                 <div style="background: #f0f9ff; border-radius: 0.5rem; padding: 1rem; margin-top: 1rem;">
-                    <h4 style="margin-top: 0; color: #0369a1;">💡 팁</h4>
+                    <h4 style="margin-top: 0; color: #0369a1;">💡 Tips</h4>
                     <ul style="margin: 0; padding-left: 1.5rem; color: #0c4a6e;">
-                        <li>구체적이고 상세한 프롬프트를 사용하세요</li>
-                        <li>생성된 이미지를 재사용하여 반복적으로 개선할 수 있습니다</li>
-                        <li>다중 이미지 모드로 여러 참조 이미지를 결합할 수 있습니다</li>
-                        <li>영어 프롬프트가 더 좋은 결과를 생성합니다</li>
+                        <li>Use specific and detailed prompts for better results</li>
+                        <li>You can reuse generated images for iterative improvements</li>
+                        <li>Multiple image mode allows you to combine reference images</li>
+                        <li>English prompts tend to produce better results</li>
                     </ul>
                 </div>
                 ''')
@@ -503,9 +503,9 @@ with gr.Blocks(theme=gr.themes.Soft(), css=css) as demo:
         oauth_token: Optional[gr.OAuthToken] = None,
     ):
         if not verify_login_status(oauth_token):
-            raise gr.Error("로그인이 필요합니다. 상단의 'Sign in with Hugging Face' 버튼을 클릭해주세요.")
+            raise gr.Error("Login required. Please click the 'Sign in with Hugging Face' button at the top.")
         if not prompt:
-            raise gr.Error("프롬프트를 입력해주세요.")
+            raise gr.Error("Please enter a prompt.")
         if active_tab == "multiple" and multi_images:
             result = run_multi_image_logic(prompt, multi_images)
         else: