Update app.py

app.py

@@ -30,19 +30,7 @@ def reset_scores():
     # scroe_robot = ''' # Robot: ''' + str(int(0))
 
     # tooltip=["Role", "Scores"],
-    return 0, 0, tot_scores, gr.BarPlot.update(
-            data,
-            x="Role",
-            y="Scores",
-            color="Role",
-            vertical=False,
-            y_lim=[0,10],
-            color_legend_position='none', 
-            height=250, 
-            width=500,
-            show_label=False,
-            container=False,
-        )
+    return 0, 0, tot_scores
 
 def reset_modules():
     res_empty = {"original": "", "interpretation": []}
@@ -81,26 +69,25 @@ Choose one of the three tasks below ... and start to play!
             
         )
         with gr.Column():
-            # plot = gr.BarPlot(height=120, width=300, container=False)
-            data = pd.DataFrame(
-                {
-                    "Role": ["AI 🤖", "HUMAN 👨👩"],
-                    "Scores": [0, 0],
-                }
-            )
-            plot = gr.BarPlot(
-                data,
-                x="Role",
-                y="Scores",
-                color="Role",
-                vertical=False,
-                y_lim=[0,10],
-                color_legend_position='none', 
-                height=250, 
-                width=500,
-                show_label=False,
-                container=False,
-            )
+            # data = pd.DataFrame(
+            #     {
+            #         "Role": ["AI 🤖", "HUMAN 👨👩"],
+            #         "Scores": [0, 0],
+            #     }
+            # )
+            # plot = gr.BarPlot(
+            #     data,
+            #     x="Role",
+            #     y="Scores",
+            #     color="Role",
+            #     vertical=False,
+            #     y_lim=[0,10],
+            #     color_legend_position='none', 
+            #     height=250, 
+            #     width=500,
+            #     show_label=False,
+            #     container=False,
+            # )
             # tooltip=["Role", "Scores"],
             
             # button_reset = gr.Button("Reset Scores")
@@ -133,7 +120,7 @@ Choose one of the three tasks below ... and start to play!
             with gr.Column():
                 with gr.Row():
                     sample_button_en = gr.Button("Click to get a review in English.", size='sm')
-                    gr.Markdown(''' <p style="text-align: center;"> or </p> ''')
+                    # gr.Markdown(''' <p style="text-align: center;"> or </p> ''')
                     # gr.Markdown(''' <h2 style="text-align: center;"> or </h2> ''')
                     sample_button_nl = gr.Button("Click to get a review in Dutch.", size='sm')
 
@@ -205,15 +192,10 @@ Choose one of the three tasks below ... and start to play!
                 slider_1_4 = gr.Slider(label="AI: Dislike ——> Like", container=True, min_width=200, height=80, show_label=True, interactive=True)
             chatbot2 = gr.Chatbot(height=350, min_width=50, container=False) # height=300
 
-    # sample_button_en.click(read1, inputs=[text_en], outputs=[checkbox_1, interpretation1, lang_selected, num_selected, interpretation2, slider_1_1, slider_1_2, chatbot1])
-    # sample_button_nl.click(read1, inputs=[text_nl], outputs=[checkbox_1, interpretation1, lang_selected, num_selected, interpretation2, slider_1_1, slider_1_2, chatbot1])
-    # chat_button_1.click(func1, inputs=[lang_selected, num_selected, slider_1_1, num1, num2, checkbox_1], outputs=[slider_1_2, chatbot1, num1, num2, tot_scores, plot])
-    # interpre_button.click(interpre1, inputs=[lang_selected, num_selected], outputs=[interpretation2])
-
     sample_button_en.click(read1, inputs=[text_en, num_selected], outputs=[interpretation1, lang_selected, num_selected])
     sample_button_nl.click(read1, inputs=[text_nl, num_selected], outputs=[interpretation1, lang_selected, num_selected])
     num_selected.change(reset_modules, outputs=[interpretation2, slider_1_1, slider_1_2, chatbot1, user_important])
-    chat_button_1.click(func1, inputs=[lang_selected, num_selected, slider_1_1, num1, num2, user_important], outputs=[slider_1_2, chatbot1, num1, num2, tot_scores, plot])    
+    chat_button_1.click(func1, inputs=[lang_selected, num_selected, slider_1_1, num1, num2, user_important], outputs=[slider_1_2, chatbot1, num1, num2, tot_scores])    
     interpre_button.click(interpre1, inputs=[lang_selected, num_selected], outputs=[interpretation2])
     
     # sample_button_en_written.click(read1_written, inputs=[text_en], outputs=[text_written])