Update app.py

app.py

@@ -43,6 +43,11 @@ def reset_scores():
             show_label=False,
             container=False,
         )
+
+def reset_modules():
+    res_empty = {"original": "", "interpretation": []}
+    return res_empty, 0, 0, [], ""
+    
 with gr.Blocks(theme=gr.themes.Default(text_size=gr.themes.sizes.text_md)) as demo:
     pre_load_1 = pipeline("sentiment-analysis", model="nlptown/bert-base-multilingual-uncased-sentiment")
     
@@ -204,8 +209,9 @@ Choose one of the three tasks below ... and start to play!
     # 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], outputs=[interpretation1, lang_selected, num_selected, interpretation2, slider_1_1, slider_1_2, chatbot1, user_important])
-    sample_button_nl.click(read1, inputs=[text_nl], outputs=[interpretation1, lang_selected, num_selected, interpretation2, slider_1_1, slider_1_2, chatbot1, user_important])
+    sample_button_en.click(read1, inputs=[text_en], outputs=[interpretation1, lang_selected, num_selected])
+    sample_button_nl.click(read1, inputs=[text_nl], outputs=[interpretation1, lang_selected, num_selected])
+    interpretation1.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])    
     interpre_button.click(interpre1, inputs=[lang_selected, num_selected], outputs=[interpretation2])