Import

app.py

@@ -232,6 +232,7 @@ def make_figure(df):
                     best_models.append(row)
 
             # Extend the line to the current date
+            current_date = pd.Timestamp.now()
             if x_values[-1] < current_date:
                 x_values.append(current_date)
                 y_values.append(current_best)
@@ -281,7 +282,7 @@ def make_figure(df):
     fig.update_xaxes(
         tickformat="%m-%Y",
     )
-
+    print(fig)
     return fig, df
 
 def filter_df():

requirements.txt

@@ -4,4 +4,5 @@ numpy
 plotly
 gradio
 statsmodels
-apscheduler
+apscheduler
+scipy

utils.py

@@ -2,6 +2,7 @@ import json
 from datetime import datetime
 
 from typing import Literal, List
+from scipy.special import expit
 
 import pandas as pd
 import plotly.express as px