Update app.py

app.py

@@ -21,6 +21,9 @@ def train_predict_wrapper(ticker, start_date, end_date, prediction_days):
     data = yf.download(ticker, start=start_date, end=end_date)
     data = data["Close"]
 
+    # Convert dates to Unix timestamps
+    data.index = data.index.to_timestamp()
+    
     # Train linear regression model
     X = data.index.values[:-prediction_days].reshape(-1, 1)
     y = data.values[:-prediction_days]