up

app.py

@@ -66,6 +66,7 @@ with open(DATA_FILE, "r") as f:
 
 int_downloads = np.array([int(x.replace(",", "")) for x in dataframe["num_downloads"].values])
 
+st.title(f"Transformers stats for year {year} and week {week}")
 # print top 20 downloads
 source = pd.DataFrame({
     'Number of total downloads': int_downloads[:20],
@@ -75,7 +76,7 @@ bar_chart = alt.Chart(source).mark_bar().encode(
     y="Number of total downloads",
     x=alt.X("Model architecture name", sort=None),
 )
-st.title(f'Top 20 downloads for year {year} and week {week}')
+st.title("Top 20 downloads last 30 days")
 st.altair_chart(bar_chart, use_container_width=True)
 
 # print bottom 20 downloads
@@ -87,9 +88,9 @@ bar_chart = alt.Chart(source).mark_bar().encode(
     y="Number of total downloads",
     x=alt.X("Model architecture name", sort=None),
 )
-st.title(f'Bottom 20 downloads for year {year} and week {week}')
+st.title("Bottom 20 downloads last 30 days")
 st.altair_chart(bar_chart, use_container_width=True)
 
 # print all stats
-st.title(f'All downloads for year {year} and week {week}')
+st.title("All stats last 30 days")
 st.table(dataframe)