Upload folder using huggingface_hub

.gitattributes

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+-----BEGIN CERTIFICATE-----
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README.md

@@ -1,12 +1,14 @@
----
-title: BRIA RMBG 2.0
-emoji: 📈
-colorFrom: blue
-colorTo: purple
-sdk: gradio
-sdk_version: 5.29.0
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+---
+title: BRIA-RMBG-2.0
+emoji: 🐢
+colorFrom: red
+colorTo: yellow
+sdk: gradio
+# sdk_version: 5.4.0
+sdk_version: 4.42.0
+app_file: app.py
+pinned: false
+short_description: remove background from any image
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import os
+import gradio as gr
+from gradio_imageslider import ImageSlider
+from loadimg import load_img
+import spaces
+from transformers import AutoModelForImageSegmentation
+import torch
+from torchvision import transforms
+
+torch.set_float32_matmul_precision(["high", "highest"][0])
+
+# Выбор устройства
+device = "cuda" if torch.cuda.is_available() else "cpu"
+
+# Загрузка модели
+birefnet = AutoModelForImageSegmentation.from_pretrained(
+    "briaai/RMBG-2.0", trust_remote_code=True
+)
+birefnet.to(device)
+
+# Трансформации для входного изображения
+transform_image = transforms.Compose(
+    [
+        transforms.Resize((1024, 1024)),
+        transforms.ToTensor(),
+        transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225]),
+    ]
+)
+
+output_folder = 'output_images'
+if not os.path.exists(output_folder):
+    os.makedirs(output_folder)
+
+def fn(image):
+    im = load_img(image, output_type="pil")
+    im = im.convert("RGB")
+    origin = im.copy()
+    image = process(im)    
+    image_path = os.path.join(output_folder, "no_bg_image.png")
+    image.save(image_path)
+    return (image, origin), image_path
+
+@spaces.GPU
+def process(image):
+    image_size = image.size
+    input_images = transform_image(image).unsqueeze(0).to(device)
+    # Предсказание
+    with torch.no_grad():
+        preds = birefnet(input_images)[-1].sigmoid().cpu()
+    pred = preds[0].squeeze()
+    pred_pil = transforms.ToPILImage()(pred)
+    mask = pred_pil.resize(image_size)
+    image.putalpha(mask)
+    return image
+
+def process_file(f):
+    name_path = f.rsplit(".",1)[0]+".png"
+    im = load_img(f, output_type="pil")
+    im = im.convert("RGB")
+    transparent = process(im)
+    transparent.save(name_path)
+    return name_path
+
+slider1 = ImageSlider(label="RMBG-2.0", type="pil")
+slider2 = ImageSlider(label="RMBG-2.0", type="pil")
+image = gr.Image(label="Upload an image")
+image2 = gr.Image(label="Upload an image", type="filepath")
+text = gr.Textbox(label="Paste an image URL")
+png_file = gr.File(label="output png file")
+
+chameleon = load_img("giraffe.jpg", output_type="pil")
+url = "http://farm9.staticflickr.com/8488/8228323072_76eeddfea3_z.jpg"
+
+tab1 = gr.Interface(
+    fn, inputs=image, outputs=[slider1, gr.File(label="output png file")], examples=[chameleon], api_name="image"
+)
+
+tab2 = gr.Interface(fn, inputs=text, outputs=[slider2, gr.File(label="output png file")], examples=[url], api_name="text")
+
+tab3 = gr.Interface(process_file, inputs=image2, outputs=png_file, examples=["giraffe.jpg"], api_name="png")
+
+demo = gr.TabbedInterface(
+    [tab1, tab2], ["input image", "input url"], title = (
+    "RMBG-2.0 for background removal <br>"
+    "<span style='font-size:16px; font-weight:300;'>"
+    "Background removal model developed by "
+    "<a href='https://bria.ai' target='_blank'>BRIA.AI</a>, trained on a carefully selected dataset,<br> "
+    "and is available as an open-source model for non-commercial use.</span><br>"
+    "<span style='font-size:16px; font-weight:500;'> For testing upload your image and wait.<br>"
+    "<a href='https://go.bria.ai/3ZCBTLH' target='_blank'>Commercial use license</a> | "
+    "<a href='https://huggingface.co/briaai/RMBG-2.0' target='_blank'>Model card</a> | "
+    "<a href='https://blog.bria.ai/brias-new-state-of-the-art-remove-background-2.0-outperforms-the-competition' target='_blank'>Blog</a>"
+    "</span><br>"
+    "<span style='font-size:16px; font-weight:300;'>"
+    "API Endpoint available on: "
+    "<a href='https://platform.bria.ai/console/api/image-editing' target='_blank'>Bria.ai</a>, "
+    "<a href='https://fal.ai/models/fal-ai/bria/background/remove' target='_blank'>fal.ai</a><br>"
+    "ComfyUI node is available here: "
+    "<a href='https://github.com/Bria-AI/ComfyUI-BRIA-API' target='_blank'>ComfyUI Node</a><br>"
+    "Purchase commercial weights for commercial use: "
+    "<a href='https://go.bria.ai/3D5EGp0' target='_blank'>here</a>"
+    "</span>"
+)
+)
+
+if __name__ == "__main__":
+    demo.launch(show_error=True, server_name="0.0.0.0", server_port=7860, share=True)

requirements.txt

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+torch
+accelerate
+opencv-python
+spaces
+pillow
+numpy
+timm
+kornia
+prettytable
+typing
+scikit-image
+huggingface_hub
+transformers>=4.39.1
+gradio
+gradio_imageslider
+loadimg>=0.1.1