Update app.py
Browse files
app.py
CHANGED
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@@ -29,10 +29,6 @@ def caption(file, ext):
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def image_predict(image):
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return caption(image, "png")
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title = "Generating Captions For Images Using ImCap v1"
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description = "ImCap v1 uses a varity of image caption generators, then plugs it into LLaMA 2 to get a final caption. <a href="https://huggingface.co/spaces/SFP/ImCap_v1?duplicate=true"
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style="display: inline-block;margin-top: .5em;margin-right: .25em;" target="_blank">
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<img style="margin-bottom: 0em;display: inline;margin-top: -.25em;"
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src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a>
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if there is a queue (free CPU works fine as it uses apis).</p>"
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iface = gr.Interface(image_predict, inputs=gr.Image(type="pil"), outputs="label", flagging_options=[], title=title, description=description)
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iface.launch()
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def image_predict(image):
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return caption(image, "png")
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title = "Generating Captions For Images Using ImCap v1"
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description = "ImCap v1 uses a varity of image caption generators, then plugs it into LLaMA 2 to get a final caption. <a href="https://huggingface.co/spaces/SFP/ImCap_v1?duplicate=true"style="display: inline-block;margin-top: .5em;margin-right: .25em;" target="_blank"><img style="margin-bottom: 0em;display: inline;margin-top: -.25em;"src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a>if there is a queue (free CPU works fine as it uses apis).</p>"
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iface = gr.Interface(image_predict, inputs=gr.Image(type="pil"), outputs="label", flagging_options=[], title=title, description=description)
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iface.launch()
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