add example app

example_app.py

@@ -0,0 +1,110 @@
+import os
+
+import gradio as gr
+
+
+def read_content(file_path: str) -> str:
+    """read the content of target file
+    """
+    with open(file_path, 'r', encoding='utf-8') as f:
+        content = f.read()
+
+    return content
+
+
+def run(img):
+    return img
+
+
+# Define input and output interfaces
+input_image = gr.Image(label="Input Image", type="pil")
+
+# Define the Gradio interface
+cloth_seg_image = gr.Image(label="Cloth Segmentation", type="pil")
+
+title = "Demo for Cloth Segmentation"
+description = "An app for Cloth Segmentation"
+inputs = [input_image]
+outputs = [cloth_seg_image]
+
+css = '''
+.container {max-width: 1150px;margin: auto;padding-top: 1.5rem}
+#image_upload{min-height:400px}
+#image_upload [data-testid="image"], #image_upload [data-testid="image"] > div{min-height: 400px}
+#mask_radio .gr-form{background:transparent; border: none}
+#word_mask{margin-top: .75em !important}
+#word_mask textarea:disabled{opacity: 0.3}
+.footer {margin-bottom: 45px;margin-top: 35px;text-align: center;border-bottom: 1px solid #e5e5e5}
+.footer>p {font-size: .8rem; display: inline-block; padding: 0 10px;transform: translateY(10px);background: white}
+.dark .footer {border-color: #303030}
+.dark .footer>p {background: #0b0f19}
+.acknowledgments h4{margin: 1.25em 0 .25em 0;font-weight: bold;font-size: 115%}
+#image_upload .touch-none{display: flex}
+@keyframes spin {
+    from {
+        transform: rotate(0deg);
+    }
+    to {
+        transform: rotate(360deg);
+    }
+}
+#share-btn-container {
+    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;
+}
+#share-btn {
+    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;
+}
+#share-btn * {
+    all: unset;
+}
+#share-btn-container div:nth-child(-n+2){
+    width: auto !important;
+    min-height: 0px !important;
+}
+#share-btn-container .wrap {
+    display: none !important;
+}
+'''
+example = {}
+image_dir = 'examples'
+
+image_list = [os.path.join(image_dir, file) for file in os.listdir(image_dir)]
+image_list.sort()
+
+image_blocks = gr.Blocks(css=css)
+with image_blocks as demo:
+    gr.HTML(read_content("header.html"))
+    with gr.Group():
+        with gr.Group():
+            with gr.Row():
+                with gr.Column():
+                    image = gr.Image(elem_id="image_upload", type="pil", label="Input Image")
+
+                with gr.Column():
+                    image_out = gr.Image(label="Output", elem_id="output-img")
+
+            with gr.Row():
+                with gr.Column():
+                    gr.Examples(image_list, inputs=[image], label="Examples - Input Images", examples_per_page=12)
+                with gr.Column():
+                    with gr.Row(elem_id="prompt-container"):
+                        btn = gr.Button("Run!")
+
+            btn.click(fn=run, inputs=[image], outputs=[image_out])
+
+            gr.HTML(
+                """
+                    <div class="footer">
+                        <p>Model by <a href="" style="text-decoration: underline;" target="_blank">WildOctopus</a> - Gradio Demo by 🤗 Hugging Face
+                        </p>
+                    </div>
+                    <div class="acknowledgments">
+                        <p><h4>ACKNOWLEDGEMENTS</h4></p>
+                        <p>
+                        U2net model is from original u2net repo. Thanks to <a href="https://github.com/xuebinqin/U-2-Net" style="text-decoration: underline;" target="_blank">Xuebin Qin</a> for amazing repo.</p>
+<p>Codes are modified from <a href="https://github.com/levindabhi/cloth-segmentation" style="text-decoration: underline;" target="_blank">levindabhi/cloth-segmentation</a>
+        </p>
+                """
+            )
+
+image_blocks.launch()

header.html

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+<div style="text-align: center; max-width: 650px; margin: 0 auto;">
+    <div style="
+          display: inline-flex;
+          gap: 0.8rem;
+          font-size: 1.75rem;
+          justify-content: center;
+          margin-bottom: 10px;
+        ">
+      <h1 style="font-weight: 900; align-items: center; margin-bottom: 7px; margin-top: 20px;">
+        Cloth Segmentation
+      </h1>
+    </div>
+    <div>
+      <p style="align-items: center; margin-bottom: 7px;">
+        Cloth Segmentation gradio demo script using pre-trained U2NET. Extract fashion from Human potrait.
+      </p>
+      <p style="align-items: center; margin-bottom: 7px;">
+        Upload a image and wait for the model to generate the segmentation map.
+      </p>
+      <p style="align-items: center; margin-bottom: 7px;">
+        If you like this demo, please help to ⭐ the <a style="text-decoration: underline;" href="https://github.com/wildoctopus/huggingface-cloth-segmentation">Github Repo</a> 😊.
+      </p>
+      <p>You can skip the queue by duplicating this space and upgrading to gpu in settings.
+
+      </div>
+  </div>