DualityAI-RebekahBogdanoff commited on
Commit
83246c0
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1 Parent(s): 8e66131
Files changed (1) hide show
  1. app.py +1 -1
app.py CHANGED
@@ -22,7 +22,7 @@ iface = gr.Interface(
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  inputs=gr.components.Image(type="filepath", label="Input Image"),
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  outputs=gr.Image(),
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  title="Cheerios detector",
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- description='<p>This model is trained to detect one Cheerios box in an indoor setting, and it is trained using synthetic data from the Duality.ai simulation software: FalconEditor. </p> In a world where data regulations are starting to limit AI useage, FalconEditor offers a way to obtain large, regulation-passing datasets easily and quickly. Dive into synthetic data by creating a FREE learner account at <a href="https://falcon.duality.ai/secure/documentation?learnWelcome=true&sidebarMode=learn" target="_blank">falcon.duality.ai</a>. See if you can train a more robust model that functions in a larger variety of domains! Follow along with tutorials as we walk you through how to assemble a scenario and collect data for AI training. Used by companies like P&G, KEF Robotics, and AWS, this powerful software is now available for non-commercial use. Go to <a href="https://falcon.duality.ai/secure/documentation?learnWelcome=true&sidebarMode=learn" target="_blank">this link</a> to sign up and start simulating!',
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  examples= path,
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  # gradio.HTML(https://falcon.duality.ai/secure/documentation?learnWelcome=true&sidebarMode=learn),
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  )
 
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  inputs=gr.components.Image(type="filepath", label="Input Image"),
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  outputs=gr.Image(),
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  title="Cheerios detector",
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+ description='<p>This model is trained to detect one Cheerios box in an indoor setting, and it is trained using synthetic data from the Duality.ai simulation software: FalconEditor. <a href="https://falcon.duality.ai/secure/documentation?learnWelcome=true&sidebarMode=learn" target="_blank">Try FalconEditor today</a>, and see if you can train a more robust model that functions in a larger variety of domains!</p> In a world where data regulations are starting to limit AI useage, FalconEditor offers a way to obtain large, regulation-passing datasets easily and quickly. Dive into synthetic data by creating a FREE learner account at <a href="https://falcon.duality.ai/secure/documentation?learnWelcome=true&sidebarMode=learn" target="_blank">falcon.duality.ai</a>. Follow along with tutorials as we walk you through how to assemble a scenario and collect data for AI training. Used by companies like P&G, KEF Robotics, and AWS, this powerful software is now available for non-commercial use.<a href="https://falcon.duality.ai/secure/documentation?learnWelcome=true&sidebarMode=learn" target="_blank">Sign up now, and start creating!</a>',
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  examples= path,
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  # gradio.HTML(https://falcon.duality.ai/secure/documentation?learnWelcome=true&sidebarMode=learn),
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  )