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initial commit
Browse files- app.py +129 -0
- model.cbm +0 -0
- model_predvol.pkl +3 -0
- model_predwei.pkl +3 -0
- requirements.txt +6 -0
- web.py +176 -0
app.py
ADDED
@@ -0,0 +1,129 @@
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import gradio as gr
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import requests
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import io
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from PIL import Image
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from catboost import CatBoostRegressor
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from web import HTMLCode, CSSCode, footCode
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import numpy as np
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import joblib
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API_URL = "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-2-1"
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headers = {"Authorization": "Bearer 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"}
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defaultprompt = "round table with blue color and smooth edges, places in the living room"
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main_model = CatBoostRegressor()
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main_model.load_model("model.cbm")
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pred_vol = joblib.load('model_predvol.pkl')
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pred_wei = joblib.load('model_predwei.pkl')
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def query(payload):
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response = requests.post(API_URL, headers=headers, json=payload)
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return response.content
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def stablefurniture(originalprompt, ftype, purpose, texture, length, width, height):
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prompt = f"full {ftype} places in the living room {originalprompt} {texture} texture for {purpose}, having {int(length)} millimeter length, {int(width)} millimeter width, and {int(height)} millimeter height, hd quality, full furniture, hyperrealistic, highly detailed, sharp focus, cinematic lighting, for commercial website"
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print(prompt)
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image_bytes = query(
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{
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"inputs": prompt,
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}
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)
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image = Image.open(io.BytesIO(image_bytes)).convert("RGBA")
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# print(f"length: {length},width: {width},height: {height}")
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vol_pred = pred_vol.predict([[length, width, height]])
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wei_pred = pred_wei.predict([[length, width, height, vol_pred[0]]])
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prediction = main_model.predict([length, width, height, vol_pred[0], wei_pred[0]])
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rubles = "₽ " + str(np.round(prediction))
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return image, rubles
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with gr.Blocks(theme=gr.themes.Soft(), css=CSSCode) as demo:
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gr.HTML(HTMLCode)
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with gr.Row():
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with gr.Column(scale=1, min_width=600):
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with gr.Row():
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originalprompt = gr.Textbox(label="Prompt",default=defaultprompt)
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with gr.Row():
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ftype = gr.Dropdown(
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[
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"Table",
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"Rack",
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"Closet",
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"Cabinet",
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"Roll-out stand",
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"Pedestal",
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"Screen",
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"Console",
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"Reception Desk",
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"Mezzanine",
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"Penalty",
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"Classical",
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],
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label="Type",
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info="Which type of furniture are you looking for?",
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)
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purpose = gr.Dropdown(
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[
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"computer",
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"for clothes",
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"for documents",
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"for negotiations",
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"for office",
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"for office equipment",
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"for receptionists",
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"for magazine",
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"roll-out stand",
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"writing",
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],
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label="Purpose",
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info="How may your furnityre help you?",
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)
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texture = gr.Dropdown(
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[
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"Beech",
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"Oak",
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"Kraft white",
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"Sonoma oak Light",
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"Craft Golden",
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"Wenge/Oak",
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"Nut",
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"Wine",
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"Grey",
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"Oak Cronberg",
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"Cherry",
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],
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label="Texture",
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info="How would you like it to be?",
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)
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with gr.Row():
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length = gr.Number(label="Length")
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width = gr.Number(label="Width")
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height = gr.Number(label="Height")
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btn = gr.Button("Dream")
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prediction = gr.Textbox(label="Estimated Cost")
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with gr.Column(scale=2, min_width=600):
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furniture = gr.Image().style(height=580)
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btn.click(
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stablefurniture,
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inputs=[originalprompt, ftype, texture, purpose, length, width, height],
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outputs=[furniture, prediction],
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)
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with gr.Row():
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gr.HTML(footCode)
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demo.launch()
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# gr.Interface(fn=stablefurniture, inputs=[
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# gr.Textbox(),
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# gr.Dropdown(
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# ["Table","Rack","Closet","Cabinet","Roll-out stand","Pedestal","Screen","Console","Reception Desk","Mezzanine","Penalty","Classical"], label="Type", info="Which type of furniture are you looking for?"
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# ),
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# gr.Dropdown(
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# ["computer","for clothes","for documents","for negotiations","for office","for office equipment","for receptionists","for magazine","roll-out stand","writing"], label="Purpose", info="Let us know why are you looking for this furniture.|"
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# ),
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# "number",
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# "number",
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# "number"],
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# outputs=["image","number"],
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# theme=gr.themes.Soft()).launch()
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model.cbm
ADDED
Binary file (113 kB). View file
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model_predvol.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:c54b2c7b64a86c4a91ef4cba284c7813b1517a293713806c7345340b15cf91a0
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size 644
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model_predwei.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:6bd2ed115f641f60504789feccf62dc208321c7925b8397bc4794d51b0a150b8
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size 660
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requirements.txt
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gradio==3.37.0
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requests==2.31.0
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Pillow==10.0.0
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catboost==1.2
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numpy==1.22.3
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pickle5==0.0.10
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web.py
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HTMLCode = """
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<head>
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<link href="https://fonts.cdnfonts.com/css/vegapunk" rel="stylesheet">
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<link href="https://fonts.cdnfonts.com/css/dustismo" rel="stylesheet">
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</head>
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<style>
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@import url('https://fonts.cdnfonts.com/css/vegapunk');
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@import url('https://fonts.cdnfonts.com/css/dustismo');
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h1{
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font-family:"Vegapunk", sans-serif;
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}
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p{
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font-family: 'Dustismo', sans-serif;
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+
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}
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</style>
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<div style="text-align: center; margin: 0 auto;">
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<div
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style="
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display: inline-flex;
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align-items: center;
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gap: 0.8rem;
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font-size: 1.75rem;
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"
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>
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<img src="https://seeklogo.com/images/U/ural-federal-university-logo-C368E954BC-seeklogo.com.png" style="height: 50px;" />
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<h1 style="font-size: 50px; font-weight: 1200; margin-bottom: 7px;margin-top:5px;">
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AlternoVation
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</h1>
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<img src="https://td-alterna.ru/design/alterna/images/logo_alt.svg" style="width: 50px; height: 50px; object-fit: cover; object-position: 0% 0" />
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</div>
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<p style="margin-bottom: 10px; font-size: 20px; line-height: 23px;">
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"Take your office game up a notch - upgrade your workspace with ease & boost productivity on a budget!"
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</p>
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</div>
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"""
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footCode = """
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<p align="center">
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<iframe title="Report Section" width="720" height="480"
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src="https://app.powerbi.com/view?r=eyJrIjoiMTdjZWQ3ZmYtYzJkMy00YWM0LWFlODktNzkwOGU2NGU5ZDIyIiwidCI6ImYyM2M2Y2Y4LTVjY2MtNDhmMy04NzgzLWY3NWM3YzlkNjVkZiIsImMiOjl9"
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frameborder="0"
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align="center"
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allowFullScreen="true">
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</iframe>
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</p>
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"""
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CSSCode = """
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.gradio-container {
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font-family: 'IBM Plex Sans', sans-serif;
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}
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.gr-button {
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color: white;
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border-color: black;
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background: black;
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}
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input[type='range'] {
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accent-color: black;
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}
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.dark input[type='range'] {
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accent-color: #dfdfdf;
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}
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.container {
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max-width: 730px;
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margin: auto;
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padding-top: 1.5rem;
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}
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#gallery {
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min-height: 22rem;
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margin-bottom: 15px;
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margin-left: auto;
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margin-right: auto;
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border-bottom-right-radius: .5rem !important;
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border-bottom-left-radius: .5rem !important;
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}
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#gallery>div>.h-full {
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min-height: 20rem;
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}
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.details:hover {
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text-decoration: underline;
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}
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.gr-button {
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white-space: nowrap;
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}
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.gr-button:focus {
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border-color: rgb(147 197 253 / var(--tw-border-opacity));
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outline: none;
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box-shadow: var(--tw-ring-offset-shadow), var(--tw-ring-shadow), var(--tw-shadow, 0 0 #0000);
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--tw-border-opacity: 1;
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--tw-ring-offset-shadow: var(--tw-ring-inset) 0 0 0 var(--tw-ring-offset-width) var(--tw-ring-offset-color);
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--tw-ring-shadow: var(--tw-ring-inset) 0 0 0 calc(3px var(--tw-ring-offset-width)) var(--tw-ring-color);
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--tw-ring-color: rgb(191 219 254 / var(--tw-ring-opacity));
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--tw-ring-opacity: .5;
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}
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#advanced-btn {
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font-size: .7rem !important;
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line-height: 19px;
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margin-top: 12px;
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margin-bottom: 12px;
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padding: 2px 8px;
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border-radius: 14px !important;
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}
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#advanced-options {
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display: none;
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margin-bottom: 20px;
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}
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.footer {
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margin-bottom: 45px;
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margin-top: 35px;
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text-align: center;
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border-bottom: 1px solid #e5e5e5;
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}
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.footer>p {
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font-size: .8rem;
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119 |
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display: inline-block;
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120 |
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padding: 0 10px;
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121 |
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transform: translateY(10px);
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background: white;
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123 |
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}
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.dark .footer {
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125 |
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border-color: #303030;
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126 |
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}
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127 |
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.dark .footer>p {
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128 |
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background: #0b0f19;
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129 |
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}
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130 |
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.acknowledgments h4{
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131 |
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margin: 1.25em 0 .25em 0;
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132 |
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font-weight: bold;
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133 |
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font-size: 115%;
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134 |
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}
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135 |
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.animate-spin {
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136 |
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animation: spin 1s linear infinite;
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137 |
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}
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@keyframes spin {
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139 |
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from {
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140 |
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transform: rotate(0deg);
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}
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to {
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transform: rotate(360deg);
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}
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145 |
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}
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146 |
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#share-btn-container {
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147 |
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display: flex; padding-left: 0.5rem !important; padding-right: 0.5rem !important; background-color: #000000; justify-content: center; align-items: center; border-radius: 9999px !important; width: 13rem;
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margin-top: 10px;
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149 |
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margin-left: auto;
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}
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#share-btn {
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152 |
+
all: initial; color: #ffffff;font-weight: 600; cursor:pointer; font-family: 'IBM Plex Sans', sans-serif; margin-left: 0.5rem !important; padding-top: 0.25rem !important; padding-bottom: 0.25rem !important;right:0;
|
153 |
+
}
|
154 |
+
#share-btn * {
|
155 |
+
all: unset;
|
156 |
+
}
|
157 |
+
#share-btn-container div:nth-child(-n+2){
|
158 |
+
width: auto !important;
|
159 |
+
min-height: 0px !important;
|
160 |
+
}
|
161 |
+
#share-btn-container .wrap {
|
162 |
+
display: none !important;
|
163 |
+
}
|
164 |
+
|
165 |
+
.gr-form{
|
166 |
+
flex: 1 1 50%; border-top-right-radius: 0; border-bottom-right-radius: 0;
|
167 |
+
}
|
168 |
+
#prompt-container{
|
169 |
+
gap: 0;
|
170 |
+
}
|
171 |
+
#prompt-text-input, #negative-prompt-text-input{padding: .45rem 0.625rem}
|
172 |
+
#component-16{border-top-width: 1px!important;margin-top: 1em}
|
173 |
+
.image_duplication{position: absolute; width: 100px; left: 50px}
|
174 |
+
|
175 |
+
footer {visibility: hidden}
|
176 |
+
"""
|