evelyncsb commited on
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f2dda80
1 Parent(s): 29eb6ce

Update app.py

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  1. app.py +18 -2
app.py CHANGED
@@ -47,8 +47,24 @@ iface = gr.Interface(
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  fn=generate_image,
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  inputs="text",
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  outputs="image",
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- title="Texto para Imagem",
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- description="Digite um texto e obtenha uma imagem com o texto."
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  )
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  # Executa o servidor Gradio
 
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  fn=generate_image,
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  inputs="text",
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  outputs="image",
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+ examples=[
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+ ["page", "a page of text about segmentation", "assets/images/page.png"],
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+ ["chelsea", "a facial photo of a tabby cat", "assets/images/chelsea.png"],
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+ ["astronaut", "a portrait of an astronaut with the American flag", "assets/images/astronaut.png"],
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+ ["rocket", "a rocket standing on a launchpad", "assets/images/rocket.png"],
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+ ["motorcycle_right", "a red motorcycle standing in a garage", "assets/images/motorcycle_right.png"],
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+ ["camera", "a person looking at a camera on a tripod", "assets/images/camera.png"],
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+ ["horse", "a black-and-white silhouette of a horse", "assets/images/horse.png"],
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+ ["coffee", "a cup of coffee on a saucer", "assets/images/coffee.png"]
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+ ]
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+ title="Find the image most similar to the given text",
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+ description='''<p>
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+ Welcome to a straightforward demonstration of ImageBind, a powerful tool designed to
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+ find the image most similar to a given text using cosine similarity. For a comprehensive
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+ understanding of its capabilities, we encourage you to explore the original research <a href='https://arxiv.org/abs/2305.05665' target='_blank'>paper</a>
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+ and visit the <a href='https://github.com/facebookresearch/ImageBind' target='_blank'>repository</a>
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+ for more in-depth information.<p>
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+ '''
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  )
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  # Executa o servidor Gradio