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Runtime error
Runtime error
added background
Browse files- app.css +4 -0
- app.py +3 -2
- data_mnist +1 -1
- mnist-dall.jpg +0 -0
- utils.py +2 -2
app.css
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@@ -0,0 +1,4 @@
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body {
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background-image: url("mnist-dall.jpg");
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background-color: #cccccc;
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}
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app.py
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@@ -13,7 +13,8 @@ import numpy as np
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from collections import Counter
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n_epochs = 10
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batch_size_train = 128
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@@ -409,7 +410,7 @@ def get_statistics():
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def main():
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#block = gr.Blocks(css=BLOCK_CSS)
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block = gr.Blocks()
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with block:
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gr.Markdown(TITLE)
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from collections import Counter
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with open('app.css','r') as f:
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BLOCK_CSS = f.read()
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n_epochs = 10
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batch_size_train = 128
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def main():
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#block = gr.Blocks(css=BLOCK_CSS)
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block = gr.Blocks(css=BLOCK_CSS)
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with block:
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gr.Markdown(TITLE)
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data_mnist
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@@ -1 +1 @@
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Subproject commit
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Subproject commit 650e2ac4a86b5e109a12b5adc7bf6436bbe578de
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mnist-dall.jpg
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utils.py
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@@ -12,7 +12,7 @@ This kind of data is presumably the most valuable for a model, so this can be he
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"""
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WHAT_TO_DO="""
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### What to do:
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1. Draw
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2. Click `Submit` and see the model's prediciton.
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3. If the model misclassifies it, Flag that example.
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4. This will add your (adversarial) example to a dataset on which the model will be trained later.
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"""
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DEFAULT_TEST_METRIC = "<html> Current test metric - Avg. loss: 1000, Accuracy: 30/1000 (30%) </html>"
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DASHBOARD_EXPLANATION="To
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STATS_EXPLANATION = "Here is the distribution of the __{num_adv_samples}__ adversarial samples we've got. The dataset can be found [here](https://huggingface.co/datasets/chrisjay/mnist-adversarial-dataset)."
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"""
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WHAT_TO_DO="""
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### What to do:
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1. Draw any number from 0-9.
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2. Click `Submit` and see the model's prediciton.
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3. If the model misclassifies it, Flag that example.
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4. This will add your (adversarial) example to a dataset on which the model will be trained later.
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"""
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DEFAULT_TEST_METRIC = "<html> Current test metric - Avg. loss: 1000, Accuracy: 30/1000 (30%) </html>"
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DASHBOARD_EXPLANATION="To test the effect of adversarial training on out-of-distribution data, we track the performance progress of the model on the [MNIST Corrupted test dataset](https://zenodo.org/record/3239543)."
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STATS_EXPLANATION = "Here is the distribution of the __{num_adv_samples}__ adversarial samples we've got. The dataset can be found [here](https://huggingface.co/datasets/chrisjay/mnist-adversarial-dataset)."
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