Delete prompt.py

prompt.py

@@ -1,77 +0,0 @@
-import json
-import random
-from pathlib import Path
-
-import gradio as gr
-from PIL import Image
-from migration import migration_1
-from background_design import background_design
-from settings import COMFY_UI_PATH
-from websockets_api import get_prompt_images
-
-image_hose = "image\image_hose.png"
-image_Long_bottle = "image\image_Long_bottle.png"
-image_mask = "image\image_mask.png"
-mage_vial = "image\image_vial.png"
-
-prompt1 = "Translucent,flowing,soft,illusory,mixed,dreamlike, watercolor,pigment,impressionist,paper texture,colorful,text"
-prompt2 = "Chinese painting,Transparent,high-end,high-end feel,transparency,Zen,inspired,Traditional,Minimalism,Works of Qi Baishi"
-prompt3 = "luxurious,High Fashion,haute couture,elegant,Hot stamping,embossing,Two tone gradient,High end craftsmanship,Glass"
-prompt4 = "medicine,chemistry,White,red,Medical patternv,Technology,Logo"
-
-def save_input_image(img):
-    input_img = Path(COMFY_UI_PATH) / "input/basic_Image.jpg"
-    pillow_image = Image.fromarray(img)
-    pillow_image.save(input_img)
-
-def sentence_builder(img,prompt_1,style,classification,cfg_vlue,steps,sampler_name,Latent_Batch):
-    with open("text01.json", "r", encoding="utf-8") as f:
-        prompt = json.load(f)
-
-    prompt["382"]["inputs"]["noise_seed"] = random.randint(0, 999999999999)
-    prompt["292"]["inputs"]["string"] = f"{prompt_1}"
-    prompt["496"]["inputs"]["style"] = style
-    prompt["434"]["inputs"]["string"] = f"{classification}"
-    prompt["381"]["inputs"]["cfg"] = cfg_vlue
-    prompt["379"]["inputs"]["steps"] = steps
-    prompt["380"]["inputs"]["sampler_name"] = f"{sampler_name}"
-    prompt["130"]["inputs"]["amount"] = Latent_Batch
-
-
-    save_input_image(img)
-    images = get_prompt_images(prompt)
-    return images
-
-basic_wf = gr.Interface(
-    fn=sentence_builder,
-    inputs=[gr.Image(label="Style Image: ",width=710, height=710),
-            
-        gr.Textbox(label="提示词"),
-        gr.Dropdown(
-             ["高级时尚", "医美", "水彩","中国风"], label="风格选择", info="选择你喜欢的风格"
-         ),
-        gr.CheckboxGroup(["窄口瓶", "面膜", "软管"], label="瓶型分类", info="瓶型的类型"),
-        gr.Slider(1, 10, value=5, step=1,label="CFG值", info="提高该值会使结果更加符合提示词，但过高会导致图像质量下降"),
-        gr.Slider(1, 50, value=30, step=1,label="steps", info="采样步数"),
-        gr.Dropdown(
-             ["euler", "dpmpp_2m", "dpmpp_2m_sde","dpmpp_2m_sde_gpu","dpmpp_3m_sde","dpmmpp_3m_sde_gpu","ddpm","lcm","ipndm","ddim","uni_pc","uni_pc_bh2" ], label="采样器", info="每个型号的采样器对生成的效果有"
-         ),
-        gr.Slider(1, 4, value=4, step=1, label="图片批次数", info="生成图片的批次数"),
-
-    ],
-    outputs=[gr.Gallery(label="Outputs: ",height=710)],
-    examples=[
-         [image_hose, prompt1,"水彩", ["软管"],5,30,"uni_pc_bh2",4],
-         [image_Long_bottle,prompt2,"中国风", ["窄口瓶"],5,30,"uni_pc_bh2",4],
-         [image_mask,prompt3,"高级时尚", ["面膜"],5,30,"uni_pc_bh2",4],
-         [mage_vial,prompt4,"医美", ["窄口瓶"],5,30,"uni_pc_bh2",4],
-    ],
-title = "设计创意工作"
-)
-demo = gr.TabbedInterface(
-    interface_list=[basic_wf],
-    tab_names=["设计创意"])
-
-
-demo.queue()
-demo.launch(share=True)