Spaces:
Sleeping
Sleeping
jacopoteneggi
commited on
Commit
•
5e91161
1
Parent(s):
2d9cd06
Update
Browse files- .pre-commit-config.yaml +0 -4
- app_lib/main.py +10 -6
- app_lib/test.py +8 -8
- app_lib/user_input.py +1 -1
- app_lib/viz.py +1 -1
.pre-commit-config.yaml
CHANGED
@@ -8,7 +8,3 @@ repos:
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rev: 22.6.0
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hooks:
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- id: black-jupyter
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- repo: https://github.com/kynan/nbstripout
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rev: 0.5.0
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hooks:
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- id: nbstripout
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rev: 22.6.0
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hooks:
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- id: black-jupyter
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app_lib/main.py
CHANGED
@@ -1,14 +1,14 @@
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import torch
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import streamlit as st
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from app_lib.user_input import (
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get_class_name,
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get_concepts,
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get_image,
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get_model_name,
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get_advanced_settings,
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)
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from app_lib.test import get_testing_config, test
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from app_lib.viz import viz_results
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@@ -56,9 +56,13 @@ def main(device=torch.device("cuda" if torch.cuda.is_available() else "cpu")):
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st.error(error_message)
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with st.container():
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-
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-
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test_button = st.button(
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"Test Concepts",
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import streamlit as st
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import torch
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from app_lib.test import get_testing_config, test
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from app_lib.user_input import (
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get_advanced_settings,
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get_class_name,
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get_concepts,
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get_image,
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get_model_name,
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)
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from app_lib.viz import viz_results
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st.error(error_message)
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with st.container():
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(
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significance_level,
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tau_max,
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r,
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cardinality,
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dataset_name,
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) = get_advanced_settings(concepts, concepts_ready)
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test_button = st.button(
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"Test Concepts",
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app_lib/test.py
CHANGED
@@ -1,17 +1,17 @@
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import torch
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import clip
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import open_clip
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import h5py
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import streamlit as st
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import numpy as np
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from concurrent.futures import ThreadPoolExecutor, as_completed
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import ml_collections
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from huggingface_hub import hf_hub_download
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from ibydmt.test import xSKIT
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from app_lib.utils import SUPPORTED_MODELS
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from app_lib.ckde import cKDE
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rng = np.random.default_rng()
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from concurrent.futures import ThreadPoolExecutor, as_completed
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import clip
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import h5py
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import ml_collections
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import numpy as np
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import open_clip
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import streamlit as st
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import torch
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from huggingface_hub import hf_hub_download
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from app_lib.ckde import cKDE
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from app_lib.utils import SUPPORTED_MODELS
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from ibydmt.test import xSKIT
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rng = np.random.default_rng()
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app_lib/user_input.py
CHANGED
@@ -2,7 +2,7 @@ import streamlit as st
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from PIL import Image
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from streamlit_image_select import image_select
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from app_lib.utils import
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def _validate_class_name(class_name):
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from PIL import Image
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from streamlit_image_select import image_select
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from app_lib.utils import SUPPORTED_DATASETS, SUPPORTED_MODELS
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def _validate_class_name(class_name):
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app_lib/viz.py
CHANGED
@@ -1,6 +1,6 @@
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import streamlit as st
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import pandas as pd
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import plotly.express as px
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def _viz_wealth(results):
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import pandas as pd
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import plotly.express as px
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import streamlit as st
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def _viz_wealth(results):
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