Update app.py

app.py

@@ -54,6 +54,8 @@ def train_and_forecast(
         df.sort_index(inplace=True)
     except AttributeError:
         raise gr.Error("Upload a file with the Upload button")
+    for i in range(prediction_length//2):
+        df.append({'ds': f'predict_{i}', 'y': 0})
 
     row_offset = offset_calculation(prediction_length, rolling_windows, len(df))
     # prediction_length += int(len(df) * 0.1)
@@ -85,7 +87,7 @@ def train_and_forecast(
     )
 
     test_data = test_gen.generate_instances(
-        prediction_length=prediction_length*2, windows=rolling_windows
+        prediction_length=prediction_length, windows=rolling_windows
     )
 
     evaluator = Evaluator(num_workers=0)