Update app.py

app.py

@@ -155,6 +155,25 @@ def _disp_scorertype(scorertype):
         scoring_model_type = '...'
     return f"### Scoring model for this exercise was: [{scoring_model_type}]"
 
+# toggle on/off some components
+def dev_opts_fn(check_box,phone_output_keyinfo):
+    energy_key = """, <span style='color:#F49098;'>--- Energy</span>"""
+    reset_fb = gr.State(FeedbackConverter(fb_params['t_key'], fb_params['p_key'], fb_params['lb'], fb_params['ub']))
+    if check_box: # user has just turned ON extra options
+        new_key = phone_output_keyinfo + energy_key
+        new_vis = True
+
+    else:
+        new_key = phone_output_keyinfo[:-len(energy_key)]
+        new_vis = False
+
+    return [new_key, 
+            gr.update(value= _disp_scorertype('...'),visible=new_vis), 
+            gr.update(value=(fb_params['lb'], fb_params['ub']),visible=new_vis), 
+            reset_fb, 
+            gr.update(visible=new_vis), gr.update(visible=new_vis), gr.update(visible=new_vis)]
+        
+
 def display0(score_output):
     task_feedback = score_output['task_feedback']
     word_feedback = score_output['word_feedback']
@@ -208,26 +227,36 @@ with bl:
         with gr.Column(scale=1):
             placeholder_output = gr.Markdown("## Einkunn/gæði: ...")
         with gr.Column(scale=3):
-            blocks_output = gr.Plot()
+            blocks_output = gr.Plot(visible=False)
             blocks_info = gr.Markdown("""*This colour feedback was not calibrated by exercise/phone,
-                                        relative colours may mismatch other scores""")
-
+                                        relative colours may mismatch other scores""",visible=False)
 
     with gr.Row():
         with gr.Column():
-            phone_output_keyinfo = gr.Markdown("""### Lykill: <span style='color:#26701C;'>Meira nálægt</span>, <span style='color:#E85907;'>Minna nálægt</span>, <span style='color:#BBBBBB;'>Ekki hægt að greina (of stutt hljóð)</span>, <span style='color:#88447F;'>••• Pitch</span>, <span style='color:#F49098;'>--- Energy</span>""")
-            modeltype_info = gr.Markdown(_disp_scorertype('...'))
-        calibrate_slider = RangeSlider(minimum=-1, maximum=1, value=(fb_lb, fb_ub), interactive=True)
+            phone_output_keyinfo = gr.Markdown("""### Lykill: <span style='color:#26701C;'>Meira nálægt</span>, <span style='color:#E85907;'>Minna nálægt</span>, <span style='color:#BBBBBB;'>Ekki hægt að greina (of stutt hljóð)</span>, <span style='color:#88447F;'>••• Pitch</span>""")
+            dev_checkbox = gr.Checkbox(label="[Debug]", value=False)
+            modeltype_info = gr.Markdown(_disp_scorertype('...'),visible=False)
+        calibrate_slider = RangeSlider(minimum=-1, maximum=1, value=(fb_lb, fb_ub), interactive=True, visible=False)
         cali_info=gr.Markdown("""
         #### ◄ Re-calibrate scoring
 
         Too easy, always 100? Raise the maximum. Too hard, always 0? Lower the minimum. 
 
         ### Note: Does not affect Monophone model.
-        """)
+        """, visible=False)
 
-    new_prompt_button.click(refresh_prompt_fn, inputs = [], outputs = [current_prompt, prompt_text, user_speech, modeltype_info, plot_output, blocks_output])
-    calibrate_slider.release(recal_fb_fn, inputs = [calibrate_slider], outputs = [fb] )
+    new_prompt_button.click(refresh_prompt_fn, 
+                            inputs = [], 
+                            outputs = [current_prompt, prompt_text, user_speech, modeltype_info, plot_output, blocks_output])
+    
+    dev_checkbox.input(dev_opts_fn, 
+                       inputs = [dev_checkbox,phone_output_keyinfo], 
+                       outputs = [phone_output_keyinfo, modeltype_info, calibrate_slider, fb, cali_info, blocks_output, blocks_info])
+    
+    calibrate_slider.release(recal_fb_fn, 
+                             inputs = [calibrate_slider], 
+                             outputs = [fb] )
+    
     score_speech_button.click(score_speech_fn, 
                               inputs=[current_prompt, user_speech, fb], 
                               outputs = [placeholder_output, modeltype_info, plot_output, blocks_output])