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Runtime error
Update app.py
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app.py
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@@ -81,6 +81,45 @@ outputs_images = [
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# demo_app.launch(debug=False, enable_queue=True)
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# gr.Examples(examples) # Add the examples to the app
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with gr.Blocks() as demo:
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gr.Markdown(
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"""
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@@ -119,7 +158,7 @@ with gr.Blocks() as demo:
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# gr.Examples(inputs=examples, outputs=outputs_images)
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# Add the description below the layout
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gr.Markdown(
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# Launch the app
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demo.launch(share=False)
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# )
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# demo_app.launch(debug=False, enable_queue=True)
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# gr.Examples(examples) # Add the examples to the app
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readme_html = """
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<html>
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<head>
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<style>
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.description {
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margin: 20px;
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padding: 10px;
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border: 1px solid #ccc;
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}
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</style>
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</head>
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<body>
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<div class="description">
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<p><strong>Description:</strong></p>
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<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>
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<p><strong>Usage:</strong></p>
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<p>You can upload Brain tumor images, and the demo will provide you with your segmented image.</p>
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<p><strong>Dataset:</strong></p>
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<p>This dataset comprises a total of 278 images, which are divided into three distinct sets for various purposes:</p>
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<ul>
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<li><strong>Training Set:</strong> It includes 236 images and is intended for training the model.</li>
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<li><strong>Validation Set:</strong> There are 28 images in the validation set, which is used for optimizing model parameters during development.</li>
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<li><strong>Test Set:</strong> This set consists of 14 images and serves as a separate evaluation dataset to assess the performance of trained models.</li>
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</ul>
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<p><strong>License:</strong> This dataset is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0).</p>
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<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>
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<p><strong>Download Dataset:</strong></p>
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<p>To download the dataset we used, you can use the following command in colab:</p>
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<pre>!wget https://universe.roboflow.com/ds/AsTB5oygI6?key=bOrqP0fWlJ</pre>
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<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>
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</div>
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</body>
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</html>
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"""
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with gr.Blocks() as demo:
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gr.Markdown(
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"""
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)
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# gr.Examples(inputs=examples, outputs=outputs_images)
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# Add the description below the layout
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gr.Markdown(readme_html)
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# Launch the app
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demo.launch(share=False)
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