Delete app-backup.py

app-backup.py

@@ -1,117 +0,0 @@
-import random
-import gradio as gr
-import numpy as np
-import torch
-import spaces
-from diffusers import FluxPipeline
-from PIL import Image
-from diffusers.utils import export_to_gif
-from transformers import pipeline
-
-HEIGHT = 256
-WIDTH = 1024
-MAX_SEED = np.iinfo(np.int32).max
-
-device = "cuda" if torch.cuda.is_available() else "cpu"
-pipe = FluxPipeline.from_pretrained(
-    "black-forest-labs/FLUX.1-dev",
-    torch_dtype=torch.bfloat16
-).to(device)
-
-translator = pipeline("translation", model="Helsinki-NLP/opus-mt-ko-en")
-
-def split_image(input_image, num_splits=4):
-    output_images = []
-    for i in range(num_splits):
-        left = i * 256
-        right = (i + 1) * 256
-        box = (left, 0, right, 256)
-        output_images.append(input_image.crop(box))
-    return output_images
-
-def translate_to_english(text):
-    return translator(text)[0]['translation_text']
-
-@spaces.GPU()
-def predict(prompt, seed=42, randomize_seed=False, guidance_scale=5.0, num_inference_steps=28, progress=gr.Progress(track_tqdm=True)):
-    if any('\u3131' <= char <= '\u318E' or '\uAC00' <= char <= '\uD7A3' for char in prompt):
-        prompt = translate_to_english(prompt)
-    
-    prompt_template = f"""
-    A side by side 4 frame image showing consecutive stills from a looped gif moving from left to right. The gif is of {prompt}.
-    """
-    
-    if randomize_seed:
-        seed = random.randint(0, MAX_SEED)
-    
-    image = pipe(
-        prompt=prompt_template,
-        guidance_scale=guidance_scale,
-        num_inference_steps=num_inference_steps,
-        num_images_per_prompt=1,
-        generator=torch.Generator("cpu").manual_seed(seed),
-        height=HEIGHT,
-        width=WIDTH
-    ).images[0]
-    
-    return export_to_gif(split_image(image, 4), "flux.gif", fps=4), image, seed
-
-css = """
-footer { visibility: hidden;}
-"""
-
-examples = [
-    "고양이가 공중에서 발을 흔드는 모습",
-    "팬더가 엉덩이를 좌우로 흔드는 모습",
-    "꽃이 피어나는 과정"
-]
-
-with gr.Blocks(theme="Yntec/HaleyCH_Theme_Orange", css=css) as demo:
-    with gr.Column(elem_id="col-container"):
-        with gr.Row():
-            prompt = gr.Text(label="프롬프트", show_label=False, max_lines=1, placeholder="프롬프트를 입력하세요")
-            submit = gr.Button("제출", scale=0)
-        output = gr.Image(label="GIF", show_label=False)
-        output_stills = gr.Image(label="스틸 이미지", show_label=False, elem_id="stills")
-        
-        with gr.Accordion("고급 설정", open=False):
-            seed = gr.Slider(
-                label="시드",
-                minimum=0,
-                maximum=MAX_SEED,
-                step=1,
-                value=0,
-            )
-            randomize_seed = gr.Checkbox(label="시드 무작위화", value=True)
-            with gr.Row():
-                guidance_scale = gr.Slider(
-                    label="가이던스 스케일",
-                    minimum=1,
-                    maximum=15,
-                    step=0.1,
-                    value=3.5,
-                )
-                num_inference_steps = gr.Slider(
-                    label="추론 단계 수",
-                    minimum=1,
-                    maximum=50,
-                    step=1,
-                    value=28,
-                )
-        
-        gr.Examples(
-            examples=examples,
-            fn=predict,
-            inputs=[prompt],
-            outputs=[output, output_stills, seed],
-            cache_examples="lazy"            
-        )
-        
-        gr.on(
-            triggers=[submit.click, prompt.submit],
-            fn=predict,
-            inputs=[prompt, seed, randomize_seed, guidance_scale, num_inference_steps],
-            outputs=[output, output_stills, seed]
-        )
-
-demo.launch()