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Update app.py
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app.py
CHANGED
@@ -6,6 +6,7 @@ import plotly.graph_objects as go
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import plotly.express as px
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from st_social_media_links import SocialMediaIcons
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from streamlit_javascript import st_javascript
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AVERAGE_COLUMN_NAME = "Average"
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@@ -66,7 +67,6 @@ function checkBackgroundColor() {
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var isWhite = backgroundColor === 'rgb(255, 255, 255)' || backgroundColor === '#FFFFFF';
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return isWhite;
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}
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var isWhiteBackground = checkBackgroundColor();
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Streamlit.setComponentValue('background_color', isWhiteBackground);
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</script>
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@@ -135,7 +135,11 @@ return_value = st_javascript("""function darkMode(i){return (window.matchMedia &
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print("IS dark mode? return_value: ", return_value)
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### Retrieve the background color information in Streamlit
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if not return_value:
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links_color = black_color
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else:
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@@ -207,10 +211,9 @@ with tab1:
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# Kolorki do wyboru:
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# colors = px.colors.sample_colorscale("viridis", len(selected_models)+1)
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colors = px.colors.qualitative.G10[:len(selected_models)]
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fig_bars = go.Figure()
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for model, color in zip(selected_models, colors):
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# Set y-axis range from 0 to 5
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values = selected_data[selected_data['Model'] == model][categories].values.flatten().tolist()
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fig_bars.add_trace(go.Bar(
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x=categories,
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import plotly.express as px
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from st_social_media_links import SocialMediaIcons
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from streamlit_javascript import st_javascript
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from st_theme import st_theme
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AVERAGE_COLUMN_NAME = "Average"
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var isWhite = backgroundColor === 'rgb(255, 255, 255)' || backgroundColor === '#FFFFFF';
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return isWhite;
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}
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var isWhiteBackground = checkBackgroundColor();
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Streamlit.setComponentValue('background_color', isWhiteBackground);
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</script>
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print("IS dark mode? return_value: ", return_value)
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### Retrieve the background color information in Streamlit
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print("background_color: ", st.query_params.get('background_color'))
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print("st-theme: ", st_theme().get('backgroundColor'))
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if not return_value:
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links_color = black_color
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else:
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# Kolorki do wyboru:
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# colors = px.colors.sample_colorscale("viridis", len(selected_models)+1)
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colors = px.colors.qualitative.G10[:len(selected_models)]
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fig_bars = go.Figure()
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for model, color in zip(selected_models, colors):
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values = selected_data[selected_data['Model'] == model][categories].values.flatten().tolist()
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fig_bars.add_trace(go.Bar(
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x=categories,
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