upload apple example

app.py

@@ -205,7 +205,7 @@ with gr.Blocks() as demo:
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     <p>If both images and videos are uploaded, the demo will only reconstruct the uploaded images. By default, we extract <strong> 1 image frame per second from the input video </strong>. To prevent crashes on the Hugging Face space, we currently limit reconstruction to the first 20 image frames. </p> 
     <p>SfM methods are designed for <strong> rigid/static reconstruction </strong>. When dealing with dynamic/moving inputs, these methods may still work by focusing on the rigid parts of the scene. However, to ensure high-quality results, it is better to minimize the presence of moving objects in the input data. </p> 
-    <p>The reconstruction should typically take up to 90 seconds. If it takes longer, the input data is likely not well-conditioned. </p> 
+    <p>The reconstruction should typically take <strong> up to 90 seconds </strong>. If it takes longer, the input data is likely not well-conditioned. </p> 
     <p>If you meet any problem, feel free to create an issue in our <a href="https://github.com/facebookresearch/vggsfm" target="_blank">GitHub Repo</a> ⭐</p> 
     <p>(Please note that running reconstruction on Hugging Face space is slower than on a local machine.) </p> 
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