plot details

app.py

@@ -24,6 +24,10 @@ if __name__ == "__main__":
     st.set_page_config(layout="wide", page_title="HF Hub Model Usage Visualization")
 
     st.header("Model Usage Visualization")
+    with st.expander("How to read and interact with the plot:"):
+        st.markdown("The plots below visualize model usage for HF models created in mid 2021 (top) vs. models created in mid 2022 (bottom). Note the y-axis range is different for each plot.")
+        st.markdown("The plots are categorized based on model popularity. I first created a histogram of weekly mean usage across all models and then grouped them into these categorizes so that the plots are easier to read.")
+        st.markdown("The plots are interactive. Hover over the points to see the model name and the number of weekly mean usage. Click on the legend to hide/show the models.")
 
     popularity = st.radio("Model popularity", ('Low', 'Moderate', 'High'), key = "popularity", index=2, horizontal = True)
 
@@ -39,7 +43,7 @@ if __name__ == "__main__":
             df_plot_2021 =  df_plot[df_plot.columns[(df_plot.mean(axis=0)<=40000) & (df_plot.mean(axis=0)>=5000)]]
         else:
             df_plot_2021 = df_plot[df_plot.columns[df_plot.mean(axis=0)>=40000]]
-        fig = px.line(df_plot_2021, title="Model created in 2021", labels={"index": "Weeks", "value": "Usage", "variable": "Model"})
+        fig = px.line(df_plot_2021, title="Models created in 2021", labels={"index": "Weeks", "value": "Usage", "variable": "Model"})
         st.plotly_chart(fig, use_container_width=True)
 
     with st.container():
@@ -54,7 +58,7 @@ if __name__ == "__main__":
             df_plot_2022 =  df_plot[df_plot.columns[(df_plot.mean(axis=0)<=1500) & (df_plot.mean(axis=0)>=500)]]
         else:
             df_plot_2022 = df_plot[df_plot.columns[df_plot.mean(axis=0)>=1500]]
-        fig = px.line(df_plot_2022, title="Model created in 2022", labels={"index": "Weeks", "value": "Usage", "variable": "Model"})
+        fig = px.line(df_plot_2022, title="Models created in 2022", labels={"index": "Weeks", "value": "Usage", "variable": "Model"})
         st.plotly_chart(fig, use_container_width=True)