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Update app.py
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app.py
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@@ -236,17 +236,7 @@ for x in range(8):
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# title = "Stable Diffusion Prompt Generator"
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# description = 'This is a demo of the model series: "MagicPrompt", in this case, aimed at: "Stable Diffusion". To use it, simply submit your text or click on one of the examples. To learn more about the model, [click here](https://huggingface.co/Gustavosta/MagicPrompt-Stable-Diffusion).<br>'
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text_gen = grad.Interface(fn=generate,
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inputs=txt,
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outputs=out,
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examples=examples,
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title=title,
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description=description,
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article='',
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allow_flagging='never',
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cache_examples=False,
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theme="default").launch(enable_queue=True, debug=True)
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# text_gen = gr.Interface.load("spaces/Omnibus/MagicPrompt-Stable-Diffusion_link")
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models2 = []
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def text_it(inputs, text_gen=text_gen):
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return text_gen(inputs)
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# title = "Stable Diffusion Prompt Generator"
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# description = 'This is a demo of the model series: "MagicPrompt", in this case, aimed at: "Stable Diffusion". To use it, simply submit your text or click on one of the examples. To learn more about the model, [click here](https://huggingface.co/Gustavosta/MagicPrompt-Stable-Diffusion).<br>'
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# text_gen = gr.Interface.load("spaces/Omnibus/MagicPrompt-Stable-Diffusion_link")
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models2 = []
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def text_it(inputs, text_gen=text_gen):
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return grad.Interface(fn=generate,
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inputs=inputs,
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outputs=out,
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examples=examples,
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title=title,
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description=description,
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article='',
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allow_flagging='never',
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cache_examples=False,
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theme="default").launch(enable_queue=True, debug=True)
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return text_gen(inputs)
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