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Update app.py
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app.py
CHANGED
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@@ -51,22 +51,19 @@ def load_gallery_images():
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return [(os.path.join("gallery", row[2]), f"{row[0]}: {row[1]}") for row in rows]
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#
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@spaces.
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def
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# CPU에서 번역 처리
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@spaces.CPU
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def translate_text(translator, text):
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if any('\u3131' <= char <= '\u3163' or '\uac00' <= char <= '\ud7a3' for char in text):
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translated = translator(text)[0]['translation_text']
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return text, translated
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return text, text
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# 프롬프트 처리 함수
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def process_prompt(
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return
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KEY_JSON = os.getenv("KEY_JSON")
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with open(KEY_JSON, 'r') as f:
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@@ -144,11 +141,11 @@ def generate_image(prompt_mash, steps, seed, cfg_scale, width, height, lora_scal
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yield img
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@spaces.GPU(duration=70)
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def run_lora(prompt, cfg_scale, steps, selected_index, randomize_seed, seed, width, height, lora_scale,
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if selected_index is None:
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raise gr.Error("진행하기 전에 LoRA를 선택해야 합니다.")
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original_prompt, english_prompt = process_prompt(
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selected_lora = loras[selected_index]
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lora_path = selected_lora["repo"]
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@@ -285,12 +282,7 @@ if not os.path.exists('gallery'):
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# 데이터베이스 초기화
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init_db()
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# 번역기 초기화
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translator = init_translator()
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with gr.Blocks(theme="Nymbo/Nymbo_Theme", css=css) as app:
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# 번역기를 상태로 추가
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translator_state = gr.State(translator)
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selected_index = gr.State(None)
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with gr.Tabs():
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@@ -368,7 +360,7 @@ with gr.Blocks(theme="Nymbo/Nymbo_Theme", css=css) as app:
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triggers=[generate_button.click, prompt.submit],
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fn=run_lora,
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inputs=[prompt, cfg_scale, steps, selected_index, randomize_seed,
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seed, width, height, lora_scale
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outputs=[result, seed, progress_bar, original_prompt_display, english_prompt_display]
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)
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return [(os.path.join("gallery", row[2]), f"{row[0]}: {row[1]}") for row in rows]
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# 번역기 초기화를 GPU 함수 내부로 이동
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@spaces.GPU(duration=70)
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def translate_text_gpu(text):
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# 번역기를 함수 내부에서 초기화
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translator = pipeline("translation", model="Helsinki-NLP/opus-mt-ko-en")
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if any('\u3131' <= char <= '\u3163' or '\uac00' <= char <= '\ud7a3' for char in text):
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translated = translator(text)[0]['translation_text']
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return text, translated
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return text, text
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# 프롬프트 처리 함수
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def process_prompt(prompt):
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return translate_text_gpu(prompt)
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KEY_JSON = os.getenv("KEY_JSON")
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with open(KEY_JSON, 'r') as f:
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yield img
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@spaces.GPU(duration=70)
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def run_lora(prompt, cfg_scale, steps, selected_index, randomize_seed, seed, width, height, lora_scale, progress=gr.Progress(track_tqdm=True)):
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if selected_index is None:
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raise gr.Error("진행하기 전에 LoRA를 선택해야 합니다.")
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original_prompt, english_prompt = process_prompt(prompt)
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selected_lora = loras[selected_index]
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lora_path = selected_lora["repo"]
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# 데이터베이스 초기화
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init_db()
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with gr.Blocks(theme="Nymbo/Nymbo_Theme", css=css) as app:
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selected_index = gr.State(None)
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with gr.Tabs():
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triggers=[generate_button.click, prompt.submit],
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fn=run_lora,
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inputs=[prompt, cfg_scale, steps, selected_index, randomize_seed,
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seed, width, height, lora_scale],
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outputs=[result, seed, progress_bar, original_prompt_display, english_prompt_display]
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)
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