Update app.py

app.py

@@ -20,9 +20,6 @@ def train_predict_wrapper(ticker, start_date, end_date, prediction_days):
     # Download stock data
     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)