oucgc1996 commited on
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Update app.py

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  1. app.py +6 -6
app.py CHANGED
@@ -178,14 +178,14 @@ with gr.Blocks() as demo:
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  gr.Markdown("πŸ”— **[Optimization Generation](https://huggingface.co/spaces/oucgc1996/CTXGen_optimization_generation)**")
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  gr.Markdown("# Conotoxin Optimization Generation")
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  gr.Markdown("#### Input")
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- gr.Markdown("βœ…**Conotoxin**: a conotoxin that needs to be optimized. For example, GCCSDPRCAWRC")
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- gr.Markdown("βœ…**Positions**: the positions that need to be optimized, replaced by X. For example, GCCXXXXCAHRC")
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- gr.Markdown("βœ…**Subtype**: subtype of action. For example, Ξ±7")
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- gr.Markdown("βœ…**Potency**: required potency. For example, High")
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- gr.Markdown("βœ…**Ο„**: temperature factor controls the diversity of conotoxins generated. The higher the value, the higher the diversity")
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  gr.Markdown("βœ…**Number of generations**: if it is not completed within 1200 seconds, it will automatically stop.")
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  gr.Markdown("βœ…**Model**: model parameters trained at different stages of data augmentation. Please refer to the paper for details.")
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- gr.Markdown("βœ…**Seed**: Enter an integer as the random seed to ensure reproducible results. The default is random")
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  with gr.Row():
 
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  gr.Markdown("πŸ”— **[Optimization Generation](https://huggingface.co/spaces/oucgc1996/CTXGen_optimization_generation)**")
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  gr.Markdown("# Conotoxin Optimization Generation")
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  gr.Markdown("#### Input")
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+ gr.Markdown("βœ…**Conotoxin**: a conotoxin that needs to be optimized. For example, GCCSDPRCAWRC.")
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+ gr.Markdown("βœ…**Positions**: the positions that need to be optimized, replaced by X. For example, GCCXXXXCAHRC.")
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+ gr.Markdown("βœ…**Subtype**: subtype of action. For example, Ξ±7.")
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+ gr.Markdown("βœ…**Potency**: required potency. For example, High.")
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+ gr.Markdown("βœ…**Ο„**: temperature factor controls the diversity of conotoxins generated. The higher the value, the higher the diversity.")
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  gr.Markdown("βœ…**Number of generations**: if it is not completed within 1200 seconds, it will automatically stop.")
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  gr.Markdown("βœ…**Model**: model parameters trained at different stages of data augmentation. Please refer to the paper for details.")
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+ gr.Markdown("βœ…**Seed**: enter an integer as the random seed to ensure reproducible results. The default is random.")
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  with gr.Row():