Update results.py

results.py

@@ -9,8 +9,6 @@ import plotly.express as px
 
 ##upsampling validation loss graph
 
-import plotly.graph_objects as go
-
 # Data
 steps = [5000, 10000, 15000, 20000, 25000, 30000, 35000, 40000, 45000, 50000, 
          55000, 60000, 65000, 70000, 75000, 80000, 85000, 90000, 95000, 100000, 
@@ -747,7 +745,7 @@ upsampling_exp = Div(
         P("To account for differing dataset sizes, the evaluation scores represent the final evaluation score after the entire dataset has been processed."),
         H3("Training Evaluations"),
         P("We also conducted full scale training using TxT360 and FineWeb-1.5T. Below are plots of the training and validation loss curves for each dataset. We can see that TxT360 achieves a lower training and validation loss compared to FineWeb-1.5T. "),
-        validation_loss_graph,
+        plotly2fasthtml(validation_loss_graph),
 )
 
 perp1_div = Div(