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Update app.py
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app.py
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@@ -1,5 +1,5 @@
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import gradio as gr
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import time #
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import tempfile
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import numpy as np
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import torch
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@@ -7,10 +7,10 @@ from PIL import Image
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from tsr.system import TSR
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from tsr.utils import remove_background, resize_foreground, to_gradio_3d_orientation
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device = "cuda:0" if torch.cuda.is_available() else "cpu"
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#
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model = TSR.from_pretrained(
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"stabilityai/TripoSR",
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config_name="config.yaml",
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model.renderer.set_chunk_size(131072)
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model.to(device)
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def check_input_image(input_image):
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if input_image is None:
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raise gr.Error("No image uploaded!")
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def preprocess(input_image, do_remove_background, foreground_ratio):
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def fill_background(image):
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image = np.array(image).astype(np.float32) / 255.0
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@@ -43,9 +45,10 @@ def preprocess(input_image, do_remove_background, foreground_ratio):
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image = fill_background(image)
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return image
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def generate(image):
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time.sleep(3) #
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scene_codes = model(image, device=device)
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mesh = model.extract_mesh(scene_codes)[0]
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mesh = to_gradio_3d_orientation(mesh)
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mesh.export(mesh_path2.name)
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return mesh_path2.name
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def start_loading_image():
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return "<div id='loading-image' style='display: block;'></div>"
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def
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return
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def start_loading_model():
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return "<div id='loading-model' style='display: block;'></div>"
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def stop_loading_image():
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return "<div id='loading-image' style='display: none;'></div>"
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def stop_loading_model():
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return "<div id='loading-model' style='display: none;'></div>"
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# Custom CSS and theme
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css = """
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height: 40px;
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border: 4px solid #f3f3f3;
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border-top: 4px solid #5271FF;
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border-radius: 50%;
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animation: spin 1s linear infinite;
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}
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@
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}
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}
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}
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}
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.generate-button {
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background-color: #5271FF !important;
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color: #FFFFFF !important;
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border: none;
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font-weight: bold;
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}
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"""
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#
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with gr.Blocks(css=css) as demo:
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with gr.Column():
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with gr.Row(
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input_image = gr.Image(
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label="Upload Image",
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image_mode="RGBA",
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@@ -132,75 +184,49 @@ with gr.Blocks(css=css) as demo:
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width=400,
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height=300,
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)
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# Row 3: Generate button and 3D model
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with gr.Row(elem_id="generate-container"):
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submit = gr.Button("Generate", elem_classes="generate-button")
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output_model = gr.Model3D(
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label="Generated GLB Model",
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interactive=False,
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elem_classes="gr-model3d-container",
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)
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loading_bar_generate = gr.HTML("<div class='loader' id='generate-loader'></div>")
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# Submit button functionality
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submit.click(
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fn=lambda: start_loading("image-loader"),
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inputs=[],
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outputs=[loading_bar_image],
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).then(
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fn=check_input_image,
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inputs=[input_image],
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outputs=[]
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).then(
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fn=lambda: stop_loading("image-loader"),
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inputs=[],
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outputs=[loading_bar_image],
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).then(
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fn=lambda: start_loading("process-loader"),
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inputs=[],
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outputs=[loading_bar_process],
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).then(
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fn=preprocess,
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inputs=[input_image, do_remove_background, foreground_ratio],
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outputs=[processed_image],
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).then(
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fn=lambda: stop_loading("process-loader"),
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inputs=[],
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outputs=[loading_bar_process],
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).then(
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fn=lambda: start_loading("generate-loader"),
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inputs=[],
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outputs=[loading_bar_generate],
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).then(
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fn=generate,
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inputs=[processed_image],
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outputs=[output_model],
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).then(
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fn=lambda: stop_loading("generate-loader"),
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inputs=[],
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outputs=[loading_bar_generate],
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)
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demo.launch(
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server_name="0.0.0.0",
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server_port=7860,
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share=True,
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)
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import gradio as gr
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import time # Для эмуляции времени загрузки
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import tempfile
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import numpy as np
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import torch
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from tsr.system import TSR
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from tsr.utils import remove_background, resize_foreground, to_gradio_3d_orientation
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# Проверяем наличие GPU
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device = "cuda:0" if torch.cuda.is_available() else "cpu"
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# Загружаем модель
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model = TSR.from_pretrained(
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"stabilityai/TripoSR",
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config_name="config.yaml",
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model.renderer.set_chunk_size(131072)
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model.to(device)
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# Функция для проверки изображения
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def check_input_image(input_image):
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if input_image is None:
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raise gr.Error("No image uploaded!")
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# Функция обработки изображения
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def preprocess(input_image, do_remove_background, foreground_ratio):
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def fill_background(image):
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image = np.array(image).astype(np.float32) / 255.0
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image = fill_background(image)
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return image
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# Функция генерации 3D модели
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def generate(image):
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time.sleep(3) # Эмуляция времени обработки
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scene_codes = model(image, device=device)
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mesh = model.extract_mesh(scene_codes)[0]
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mesh = to_gradio_3d_orientation(mesh)
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mesh.export(mesh_path2.name)
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return mesh_path2.name
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def start_loading():
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return gr.HTML.update(visible=True)
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def stop_loading():
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return gr.HTML.update(visible=False)
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# Настройка темы и CSS
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class CustomTheme(gr.themes.Base):
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def __init__(self):
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super().__init__()
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self.primary_hue = "#191a1e"
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self.background_fill_primary = "#191a1e"
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self.background_fill_secondary = "#191a1e"
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self.background_fill_tertiary = "#191a1e"
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self.text_color_primary = "#FFFFFF"
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self.text_color_secondary = "#FFFFFF"
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self.text_color_tertiary = "#FFFFFF"
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self.input_background_fill = "#191a1e"
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self.input_text_color = "#FFFFFF"
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css = """
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/* Скрываем нижний колонтитул */
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footer {
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visibility: hidden;
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height: 0;
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margin: 0;
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padding: 0;
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overflow: hidden;
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}
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/* Применяем шрифты */
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@import url('https://fonts.googleapis.com/css2?family=Poppins:wght@400;500;700&display=swap');
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body, input, button, textarea, select, .gr-button {
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font-family: 'Poppins', sans-serif;
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background-color: #191a1e !important;
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color: #FFFFFF;
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}
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/* Настройки заголовков */
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h1, h2, h3, h4, h5, h6 {
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font-family: 'Poppins', sans-serif;
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font-weight: 700;
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color: #FFFFFF;
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}
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/* Стиль для текстовых полей и кнопок */
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input[type="text"], textarea {
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background-color: #191a1e !important;
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color: #FFFFFF;
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border: 1px solid #FFFFFF;
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}
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/* Слайдер */
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.gr-slider {
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height: 40px !important; /* Увеличение высоты слайдера */
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transition: all 0.3s ease !important; /* Плавные переходы */
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}
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.gr-slider .slider-value {
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display: none !important; /* Прячем текст значения */
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}
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.gr-slider .slider::-webkit-slider-thumb {
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height: 15px !important;
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width: 15px !important;
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background-color: #5271FF !important; /* Цвет совпадает с кнопкой */
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border-radius: 50%;
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}
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.gr-slider .slider::-webkit-slider-runnable-track {
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background: #5271FF !important; /* Цвет заполнения слайдера */
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}
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/* Кнопка Generate */
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.generate-button {
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background-color: #5271FF !important;
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color: #FFFFFF !important;
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border: none;
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font-weight: bold;
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}
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.generate-button:hover {
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background-color: #405BBF !important; /* Цвет при наведении */
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}
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.generate-button {
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position: relative; /* Кнопка становится родительским контейнером */
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}
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/* Выделяем текст для Prompt */
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.prompt-text {
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font-weight: bold;
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color: #FFFFFF;
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}
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/* Лоадер (анимация) */
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#loading-bar {
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display: none; /* Скрыт по умолчанию */
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position: relative; /* Изменено на relative для использования в кнопке */
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margin: 0 auto; /* Центрируем внутри родительского элемента */
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width: 30px; /* Уменьшен размер для кнопки */
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height: 30px;
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border: 4px solid #f3f3f3;
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border-top: 4px solid #5271FF; /* Цвет лоадера */
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border-radius: 50%;
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animation: spin 1s linear infinite;
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}
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/* Анимация вращения */
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@keyframes spin {
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0% { transform: translate(-50%, -50%) rotate(0deg); }
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100% { transform: translate(-50%, -50%) rotate(360deg); }
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}
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/* Текст CheckBox в белый */
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.gr-checkbox label {
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color: #FFFFFF !important;
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}
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"""
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# Интерфейс
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with gr.Blocks(theme=CustomTheme(), css=css) as demo:
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with gr.Column():
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gr.Markdown("<span style='color: white; font-weight: bold;'>Upload and Process Your Image</span>")
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with gr.Row():
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input_image = gr.Image(
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label="Upload Image",
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image_mode="RGBA",
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width=400,
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height=300,
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)
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foreground_ratio = gr.Slider(
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label="Foreground Ratio",
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minimum=0.5,
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maximum=1.0,
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value=0.85,
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step=0.05,
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)
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do_remove_background = gr.Checkbox(
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label="Remove Background", # Текст перекрашен в белый через CSS
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value=True,
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)
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submit = gr.Button("Generate", elem_classes="generate-button")
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loading_bar = gr.HTML("<div id='loading-bar'></div>")
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output_model = gr.Model3D(
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label="Generated GLB Model",
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interactive=False,
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elem_classes="gr-model3d-container",
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)
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submit.click(
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fn=start_loading, # Включить прогресс-бар
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inputs=[],
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outputs=[loading_bar]
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).then(
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fn=check_input_image,
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inputs=[input_image],
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outputs=[]
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).then(
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fn=preprocess,
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inputs=[input_image, do_remove_background, foreground_ratio],
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outputs=[processed_image]
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).then(
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fn=generate,
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inputs=[processed_image],
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outputs=[output_model]
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).then(
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fn=stop_loading, # Отключаем прогресс-бар после завершения генерации
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inputs=[],
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outputs=[loading_bar]
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)
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# Запуск приложения
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demo.launch(
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server_name="0.0.0.0",
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server_port=7860,
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share=True,
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)
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