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Brain-Tumor-Demo

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sayedM commited on Sep 26, 2023

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7451aaa

1 Parent(s): 36b0c2f

Update app.py

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app.py +10 -10

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@@ -96,7 +96,7 @@ readme_html = """
 </head>
 <body>
     <div class="description">
-        <p><strong>Description:</strong></p>
         <p>We present a demo for performing object segmentation with training a Yolov8-seg on Brain tumor dataset. The model was trained on 236 training images and validated on 28 images.</p>
         <p><strong>Usage:</strong></p>
         <p>You can upload Brain tumor images, and the demo will provide you with your segmented image.</p>
@@ -109,24 +109,24 @@ readme_html = """
         </ul>
         <p><strong>License:</strong> This dataset is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0).</p>
         <p>To access and download this dataset, please follow this link: <a href="https://universe.roboflow.com/detection-qskiw/segmnetation" target="_blank">Dataset Download</a></p>
-        <p><strong>Download Dataset:</strong></p>
-        <p>To download the dataset we used, you can use the following command in colab:</p>
-        <pre>!wget https://universe.roboflow.com/ds/AsTB5oygI6?key=bOrqP0fWlJ</pre>
-        <p>Feel free to explore and use this repository for your object segmentation needs. If you have any questions or need assistance, please don't hesitate to reach out.</p>
-    </div>
 </body>
 </html>
 """
 with gr.Blocks() as demo:
     gr.Markdown(
             """
-            # Tuba Brain Tumor Demo
-            [Tuba](https://Tuba.ai)
-            """
         )
     # Define the input components and add them to the layout
     with gr.Row():

 </head>
 <body>
     <div class="description">
+        <p><strong>More details:</strong></p>
         <p>We present a demo for performing object segmentation with training a Yolov8-seg on Brain tumor dataset. The model was trained on 236 training images and validated on 28 images.</p>
         <p><strong>Usage:</strong></p>
         <p>You can upload Brain tumor images, and the demo will provide you with your segmented image.</p>
         </ul>
         <p><strong>License:</strong> This dataset is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0).</p>
         <p>To access and download this dataset, please follow this link: <a href="https://universe.roboflow.com/detection-qskiw/segmnetation" target="_blank">Dataset Download</a></p>
+        </div>
 </body>
 </html>
 """
 with gr.Blocks() as demo:
     gr.Markdown(
             """
+<div style="text-align: center;">
+    <h1>Tuba Brain Tumor Demo</h1>
+    <p><a href="https://Tuba.ai">Tuba</a></p>
+</div>
+"""
         )
     # Define the input components and add them to the layout
     with gr.Row():