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app.py
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@@ -31,8 +31,8 @@ diffuser_pipeline = diffuser_pipeline.to(device)
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# GRADIO SETUP
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title = "Speech to Diffusion • Community Pipeline"
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description = """
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<p style='text-align: center;'>This demo can generate an image from an audio sample using pre-trained OpenAI whisper-small and Stable Diffusion
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Community examples consist of both inference and training examples that have been added by the community
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<a href='https://github.com/huggingface/diffusers/tree/main/examples/community#speech-to-image' target='_blank'> Click here for more information about community pipelines </a>
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</p>
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"""
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# GRADIO SETUP
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title = "Speech to Diffusion • Community Pipeline"
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description = """
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+
<p style='text-align: center;'>This demo can generate an image from an audio sample using pre-trained OpenAI whisper-small and Stable Diffusion.<br />
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Community examples consist of both inference and training examples that have been added by the community.<br />
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<a href='https://github.com/huggingface/diffusers/tree/main/examples/community#speech-to-image' target='_blank'> Click here for more information about community pipelines </a>
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</p>
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"""
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