Update app.py

app.py

@@ -1166,9 +1166,9 @@ class Network(object):
       f = numpy.linspace(0.05, 2.0, 64)
       fd = pandas.DataFrame(f).rename(columns={0: "Frequency"})
       df_pred = pandas.DataFrame(predicted_output.transpose()).rename(columns={0: "Surge", 1: "Heave", 2: "Pitch"})
+      good_frame = pandas.concat([fd, df_pred], axis=1)
 
-      return pandas.concat([fd, df_pred], axis=1), pandas.DataFrame()
-
+      return good_frame, good_frame
 
   def synthesis(self, idx=None):
       print(idx)
@@ -1366,7 +1366,7 @@ with gradio.Blocks() as demo:
               pred = gradio.Timeseries(x="Frequency", y=['Surge', 'Heave', 'Pitch'], label="Predicted")
     
           with gradio.Column():
-              true = gradio.Timeseries(x="Frequency", y=['Surge', 'Heave', 'Pitch'], label="True")
+              true = gradio.Timeseries(x="Frequency", y=['Surge', 'Heave', 'Pitch'], label="True", visible=False)
         
         radio.change(fn=change_textbox, inputs=[radio, length, height, width, diameter], outputs=[height, width, diameter, length, geo])    
         height.change(fn=make_voxels, inputs = [radio, length, height, width, diameter], outputs=[geo])