Update app.py

app.py

@@ -22,7 +22,9 @@ organizations=['Alphabet','Allen Institute for AI', 'Alibaba', 'Amazon', 'Anthro
 
 def generate_figure(org_name):
     org_data = data[data['Organization'] == org_name]
-    fig = px.histogram(org_data, x="Year", color="Environmental Transparency",color_discrete_map= color_discrete_map)
+    model_counts = org_data.groupby('Year')[['Model','Environmental Transparency']].value_counts().reset_index()
+    model_counts.columns = ['Year', 'Model','Environmental Transparency','Count']
+    fig = px.bar(model_counts, x="Year", y="Count",color='Environmental Transparency', color_discrete_map =color_discrete_map, hover_data=["Model"])
     fig.update_layout(xaxis_type='category')
     fig.update_xaxes(categoryorder="category ascending")
     return fig
@@ -42,11 +44,12 @@ with gr.Blocks() as demo:
     with gr.Row():
         with gr.Column():
             gr.Markdown("### All Data")
-            fig2 = px.histogram(data, x="Year", color="Environmental Transparency", color_discrete_map= color_discrete_map)
+            counts = data.groupby('Year')[['Model','Environmental Transparency']].value_counts().reset_index()
+            counts.columns = ['Year', 'Model','Environmental Transparency','Count']
+            fig2 = px.bar(model_counts, x="Year", y="Count",color='Environmental Transparency', color_discrete_map =color_discrete_map, hover_data=["Model"])
             fig2.update_layout(xaxis_type='category')
             fig2.update_xaxes(categoryorder="category ascending")
-            #fig.update_xaxes(categoryorder='array', categoryarray= ['2010,'2011','2012','2013','2014','2015','2016','2017','2018','2019','2020','2021','2022','2023','2024','2025'])
-        
+       
             plt2 = gr.Plot(fig2)
     with gr.Row():
         with gr.Column(scale=1):