Update app.py
Browse files
app.py
CHANGED
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@@ -39,10 +39,13 @@ with gr.Blocks() as demo:
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gr.Markdown("### All Data")
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fig2 = px.histogram(data, x="Year", color="Environmental Transparency")
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fig2.update_layout(xaxis_type='category')
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plt2 = gr.Plot(fig2)
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with gr.Row():
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with gr.Column(scale=1):
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org_choice= gr.Dropdown(organizations, value="
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gr.Markdown('The 3 transparency categories are:')
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gr.Markdown('**Direct Disclosure**: Developers explicitly reported energy or GHG emissions, e.g., using hardware TDP, country average carbon intensity or measurements.')
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gr.Markdown('**Indirect Disclosure**: Developers provided training compute data or released their model weights, allowing external estimates of training or inference impacts.')
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gr.Markdown("### All Data")
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fig2 = px.histogram(data, x="Year", color="Environmental Transparency")
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fig2.update_layout(xaxis_type='category')
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fig2.update_xaxes(categoryorder="total ascending")
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#fig.update_xaxes(categoryorder='array', categoryarray= ['2010,'2011','2012','2013','2014','2015','2016','2017','2018','2019','2020','2021','2022','2023','2024','2025'])
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+
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plt2 = gr.Plot(fig2)
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with gr.Row():
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with gr.Column(scale=1):
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org_choice= gr.Dropdown(organizations, value="", label="Organizations", info="Pick an organization to explore their environmental disclosures", interactive=True)
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gr.Markdown('The 3 transparency categories are:')
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gr.Markdown('**Direct Disclosure**: Developers explicitly reported energy or GHG emissions, e.g., using hardware TDP, country average carbon intensity or measurements.')
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gr.Markdown('**Indirect Disclosure**: Developers provided training compute data or released their model weights, allowing external estimates of training or inference impacts.')
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