Spaces:
Running
on
Zero
Running
on
Zero
mikonvergence
commited on
Commit
·
acfd194
1
Parent(s):
77cad0e
spaces fix
Browse files- app.py +1 -1
- src/backend.py +1 -0
- src/utils.py +1 -5
app.py
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@@ -10,7 +10,7 @@ with gr.Blocks(theme=theme) as demo:
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gr.HTML('<img src="file/logos/COP-GEN-logo.png" style="max-width: 300px;">')
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gr.Markdown("# 🔵 COP-GEN-Beta: Unified Generative Modelling of COPernicus Imagery Thumbnails")
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gr.Markdown("### Miguel Espinosa, Valerio Marsocci, Yuru Jia, Elliot J. Crowley, Mikolaj Czerkawski")
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gr.Markdown('[[Website](https://miquel-espinosa.github.io/cop-gen-beta/)] [
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gr.Markdown('> ## ⚠️ NOTE: This is a prototype Beta model of COP-GEN. It is based on image thumbnails of [[Major TOM](https://huggingface.co/Major-TOM)] and does not yet support raw source data. The hillshade visualisation is used for elevation. The full model COP-GEN is coming soon.')
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with gr.Column(elem_classes="Main app"):
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gr.HTML('<img src="file/logos/COP-GEN-logo.png" style="max-width: 300px;">')
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gr.Markdown("# 🔵 COP-GEN-Beta: Unified Generative Modelling of COPernicus Imagery Thumbnails")
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gr.Markdown("### Miguel Espinosa, Valerio Marsocci, Yuru Jia, Elliot J. Crowley, Mikolaj Czerkawski")
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gr.Markdown('[[Website](https://miquel-espinosa.github.io/cop-gen-beta/)] [GitHub](https://github.com/miquel-espinosa/COP-GEN-Beta)] [[Model](https://huggingface.co/mespinosami/COP-GEN-Beta) [[Dataset](https://huggingface.co/Major-TOM)]')
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gr.Markdown('> ## ⚠️ NOTE: This is a prototype Beta model of COP-GEN. It is based on image thumbnails of [[Major TOM](https://huggingface.co/Major-TOM)] and does not yet support raw source data. The hillshade visualisation is used for elevation. The full model COP-GEN is coming soon.')
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with gr.Column(elem_classes="Main app"):
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src/backend.py
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@@ -202,6 +202,7 @@ def run_inference(config, nnet, autoencoder, img_tensors):
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return generated_samples
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def custom_inference(images, generate_modalities, condition_modalities, num_inference_steps, seed=None):
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"""
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Run custom inference with user-specified parameters
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return generated_samples
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@spaces.GPU
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def custom_inference(images, generate_modalities, condition_modalities, num_inference_steps, seed=None):
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"""
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Run custom inference with user-specified parameters
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src/utils.py
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@@ -160,8 +160,4 @@ def sample_shuffle():
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"""
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grid_cell = grid_cell_df.sample().iloc[0]
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return resize_and_crop(get_images(grid_cell))
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@spaces.GPU
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def generate_output():
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pass
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"""
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grid_cell = grid_cell_df.sample().iloc[0]
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return resize_and_crop(get_images(grid_cell))
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