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object-detection-in-videos-with-yolox

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PierreBrunelle commited on Oct 6, 2024

Commit

6eeb43a

verified ·

1 Parent(s): ae97f19

Update app.py

Files changed (1) hide show

app.py CHANGED Viewed

@@ -90,7 +90,7 @@ with gr.Blocks(theme=gr.themes.Monochrome()) as demo:
     gr.HTML(
         """
         <p>
-            <a href="https://github.com/pixeltable/pixeltable" target="_blank" style="color: #00A4EF; text-decoration: none; font-weight: bold;">Pixeltable</a> is a declarative interface for working with text, images, embeddings, and even video, enabling you to store, transform, index, and iterate on data.
         </p>
         """
     )
@@ -98,8 +98,8 @@ with gr.Blocks(theme=gr.themes.Monochrome()) as demo:
     # Add the disclaimer
     gr.HTML(
         """
-        <div style="background-color: #605D5D; border: 1px solid #e9ecef; color: #FFFFFF; border-radius: 8px; padding: 15px; margin-bottom: 20px;">
-            <strong style="color: #FFFFFF">Disclaimer:</strong> This app is best run on your own hardware with a GPU for optimal performance. This Hugging Face Space uses the free tier (2vCPU, 16GB RAM), which may result in slower processing times, especially for large video files. If you wish to use this app with your own hardware for improved performance, you can <a href="https://huggingface.co/spaces/Pixeltable/Multi-LLM-RAG-with-Groundtruth-Comparison/duplicate" target="_blank" style="color: #00A4EF; text-decoration: none; font-weight: bold;">duplicate this Hugging Face Space</a> and run it locally, or use Google Colab with the Free limited GPU support.
         </div>
         """
     )

     gr.HTML(
         """
         <p>
+            <a href="https://github.com/pixeltable/pixeltable" target="_blank" style="color: #4D148C; text-decoration: none; font-weight: bold;">Pixeltable</a> is a declarative interface for working with text, images, embeddings, and even video, enabling you to store, transform, index, and iterate on data.
         </p>
         """
     )
     # Add the disclaimer
     gr.HTML(
         """
+        <div style="background-color: #E5DDD4; border: 1px solid #e9ecef; color: #000000; border-radius: 8px; padding: 15px; margin-bottom: 20px;">
+            <strong style="color: #000000">Disclaimer:</strong> This app is best run on your own hardware with a GPU for optimal performance. This Hugging Face Space uses the free tier (2vCPU, 16GB RAM), which may result in slower processing times, especially for large video files. If you wish to use this app with your own hardware for improved performance, you can <a href="https://huggingface.co/spaces/Pixeltable/Multi-LLM-RAG-with-Groundtruth-Comparison/duplicate" target="_blank" style="color: #4D148C; text-decoration: none; font-weight: bold;">duplicate this Hugging Face Space</a> and run it locally, or use Google Colab with the Free limited GPU support.
         </div>
         """
     )