Delete app-backup.py

app-backup.py

@@ -1,126 +0,0 @@
-import gradio as gr
-import numpy as np
-import random
-import spaces
-import torch
-from diffusers import DiffusionPipeline
-from transformers import pipeline
-
-# 번역 파이프라인 및 하드웨어 설정
-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)
-
-MAX_SEED = np.iinfo(np.int32).max
-MAX_IMAGE_SIZE = 2048
-
-@spaces.GPU()
-def infer(prompt, seed=42, randomize_seed=False, width=1024, height=1024, num_inference_steps=4, progress=gr.Progress(track_tqdm=True)):
-    if randomize_seed:
-        seed = random.randint(0, MAX_SEED)
-    generator = torch.Generator().manual_seed(seed)
-
-    # 한글 입력 감지 및 번역
-    if any('\uAC00' <= char <= '\uD7A3' for char in prompt):
-        print("Translating Korean prompt...")
-        translated_prompt = translator(prompt, max_length=512)[0]['translation_text']
-        print("Translated prompt:", translated_prompt)
-        prompt = translated_prompt
-
-    image = pipe(
-            prompt = prompt,
-            width = width,
-            height = height,
-            num_inference_steps = num_inference_steps,
-            generator = generator,
-            guidance_scale=0.0
-    ).images[0]
-    return image, seed
-
-examples = [
-    ["Create a new logo for a [Color Tone: Blue] [Design Concept: ROCKET] [Text: 'WORLD'] [Background: BLUE COLOR]"],
-    ["Create a new logo for a [Color Tone: Blue] [Design Concept: UNIVERSE] [Text: 'COCA COLA'] [Background: COLORFUL]"],   
-    ["simple futuristic logo kamikaze drone on a shield, minimalistic, vector, 2D, simple lines, White background --v 4"],
-    ["Create a new logo for a [Color Tone: Blue] [Design Concept: MOUNTAIN] [Text: 'abc@gmail.com'] [Background: RED COLOR] "],
-    ["Create a new logo for a [Color Tone: Blue] [Design Concept: HUMAN] [Text: 'ABC.COM'] [Background: YELLOW COLOR] "],
-    ["Create a new logo for a [Color Tone: Blue] [Design Concept: HOUSE] [Text: 'T.010-1234-1234'] [Background: COLORFUL] "],    
-    ["Create a new logo for a [Color Tone: Blue] [Design Concept: LION] [Text: 'SOCCER CLUB'] [Background: GREEN COLOR]"]
-]
-
-css = """
-footer {
-    visibility: hidden;
-}
-"""
-
-with gr.Blocks(theme="Nymbo/Nymbo_Theme", css=css) as demo:
-    with gr.Column(elem_id="col-container"):
-        with gr.Row():
-            prompt = gr.Text(
-                label="Prompt",
-                show_label=False,
-                max_lines=1,
-                placeholder="Enter your prompt",
-                container=False,
-                elem_id="prompt"
-            )
-
-            run_button = gr.Button("Run", scale=0)
-
-        result = gr.Image(label="Result", show_label=False, elem_id="result")
-
-        with gr.Accordion("Advanced Settings", open=False, elem_id="advanced-settings"):
-            seed = gr.Slider(
-                label="Seed",
-                minimum=0,
-                maximum=MAX_SEED,
-                step=1,
-                value=0,
-            )
-
-            randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
-
-            with gr.Row():
-                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,
-                )
-
-            with gr.Row():
-                num_inference_steps = gr.Slider(
-                    label="Number of inference steps",
-                    minimum=1,
-                    maximum=50,
-                    step=1,
-                    value=4,
-                )
-
-        gr.Examples(
-            examples=examples,
-            fn=infer,
-            inputs=[prompt],
-            outputs=[result, seed],
-            cache_examples="lazy"
-        )
-
-        gr.on(
-            triggers=[run_button.click, prompt.submit],
-            fn=infer,
-            inputs=[prompt, seed, randomize_seed, width, height, num_inference_steps],
-            outputs=[result, seed]
-        )
-
-demo.launch()