Update app.py

app.py

@@ -6,10 +6,9 @@ import torch
 from diffusers import DiffusionPipeline
 from transformers import pipeline
 
-# 번역 파이프라인 및 하드웨어 설정
+# Translation pipeline and hardware settings
 device = "cuda" if torch.cuda.is_available() else "cpu"
 translator = pipeline("translation", model="Helsinki-NLP/opus-mt-ko-en", device=device)
-
 dtype = torch.bfloat16
 pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-schnell", torch_dtype=dtype).to(device)
 
@@ -21,14 +20,14 @@ def infer(prompt, seed=42, randomize_seed=False, width=1024, height=1024, num_in
     if randomize_seed:
         seed = random.randint(0, MAX_SEED)
     generator = torch.Generator().manual_seed(seed)
-
-    # 한글 입력 감지 및 번역
+    
+    # Korean input detection and translation
     if any('\uAC00' <= char <= '\uD7A3' for char in prompt):
-        print("한국어 프롬프트 번역 중...")
+        print("Translating Korean prompt...")
         translated_prompt = translator(prompt, max_length=512)[0]['translation_text']
-        print("번역된 프롬프트:", translated_prompt)
+        print("Translated prompt:", translated_prompt)
         prompt = translated_prompt
-
+        
     image = pipe(
             prompt = prompt,
             width = width,
@@ -37,10 +36,9 @@ def infer(prompt, seed=42, randomize_seed=False, width=1024, height=1024, num_in
             generator = generator,
             guidance_scale=0.0
     ).images[0]
+    
     return image, seed
 
-# (이전 import 구문 및 파이프라인 설정 유지)
-
 examples = [
     ["[한글] [스타일: 모던] [색상: 빨강과 검정] [컨셉: 식당] [텍스트: '맛있는집'] [배경: 심플]"],
     ["[Style: Corporate] [Color: Navy and Silver] [Concept: Finance] [Text: 'TRUST'] [Background: Professional]"],
@@ -63,25 +61,25 @@ with gr.Blocks(theme="Yntec/HaleyCH_Theme_Orange", css=css) as demo:
     with gr.Column(elem_id="container"):
         with gr.Group():
             prompt = gr.Text(
-                label="로고 설명",
-                placeholder="로고 디자인을 상세히 설명해주세요 (한글 입력 가능)",
+                label="PROMPT",
+                placeholder="Text input Prompt (Korean input supported)",
                 lines=2
             )
-            run_button = gr.Button("로고 생성", variant="primary")
+            run_button = gr.Button("Generate Logo", variant="primary")
         
         with gr.Row():
-            result = gr.Image(label="생성된 로고", show_label=True)
+            result = gr.Image(label="Generated Logo", show_label=True)
         
-        with gr.Accordion("고급 설정", open=False):
+        with gr.Accordion("Advanced Settings", open=False):
             with gr.Row():
-                seed = gr.Slider(label="시드", minimum=0, maximum=MAX_SEED, step=1, value=0)
-                randomize_seed = gr.Checkbox(label="랜덤 시드", value=True)
+                seed = gr.Slider(label="Seed", minimum=0, maximum=MAX_SEED, step=1, value=0)
+                randomize_seed = gr.Checkbox(label="Random Seed", value=True)
             
             with gr.Row():
-                width = gr.Slider(label="너비", minimum=256, maximum=MAX_IMAGE_SIZE, step=32, value=512)
-                height = gr.Slider(label="높이", minimum=256, maximum=MAX_IMAGE_SIZE, step=32, value=512)
-                num_inference_steps = gr.Slider(label="품질", minimum=1, maximum=50, step=1, value=4)
-
+                width = gr.Slider(label="Width", minimum=256, maximum=MAX_IMAGE_SIZE, step=32, value=512)
+                height = gr.Slider(label="Height", minimum=256, maximum=MAX_IMAGE_SIZE, step=32, value=512)
+                num_inference_steps = gr.Slider(label="Quality", minimum=1, maximum=50, step=1, value=4)
+        
         gr.Examples(
             examples=examples,
             fn=infer,
@@ -89,7 +87,7 @@ with gr.Blocks(theme="Yntec/HaleyCH_Theme_Orange", css=css) as demo:
             outputs=[result, seed],
             cache_examples="lazy"
         )
-
+        
         gr.on(
             triggers=[run_button.click, prompt.submit],
             fn=infer,