Update app.py

app.py

@@ -21,7 +21,7 @@ def train_predict_wrapper(ticker, start_date, end_date, prediction_days):
     # Prepare data for prediction
     last_timestamp = data.index[-1]
     future_timestamps = pd.date_range(start=pd.to_datetime(last_timestamp, unit='s'), 
-                                      periods=prediction_days + 1, closed='right')
+                                      periods=prediction_days, freq='D')
     future_timestamps = (future_timestamps - pd.Timestamp("1970-01-01")) // pd.Timedelta('1s')
     X_future = future_timestamps.values.reshape(-1, 1)