Update app.py

app.py

@@ -6,9 +6,9 @@ import pandas as pd
 from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipeline
 
 
-from game1 import read1, func1, interpre1, read1_written, func1_written
+from game1 import read1, func1, interpre1, func1_written
 from game2 import func2
-from game3 import func3
+from game3 import read3, func3, interpre3, func3_written
 
 
 def ret_en():
@@ -165,10 +165,8 @@ Choose one of the three tasks below ... and start to play!
                 with gr.Row():
                     # gr.Markdown(''' <p style="text-align: center;"> or </p> ''')
                     sample_button_en_3 = gr.Button("Click to get a sentence.", size='sm')
-
                 input_text_mf = gr.Textbox(label="Sentence:", value="HELLO! Hallo!", visible=False, container=False)
                 interpretation_mf_1 = gr.components.Interpretation(input_text_mf)
-
                 slider_3_1 = gr.Slider(label="Human: Male ——> Female", container=True, min_width=200, height=80, show_label=True, interactive=True)
                 user_important_mf = gr.Textbox(label="Which words are the guesses based on?", placeholder="Enter words that you think are important.")
                 
@@ -212,7 +210,12 @@ Choose one of the three tasks below ... and start to play!
                 slider_3_4 = gr.Slider(label="AI: Male ——> Female", container=True, min_width=200, height=80, show_label=True, interactive=True)
             chatbot_mf_2 = gr.Chatbot(height=350, min_width=50, container=False) # height=300
 
+    sample_button_en_3.click(read3, inputs=[num_selected_3], outputs=[interpretation_mf_1, num_selected_3])
+    num_selected_3.change(reset_modules, outputs=[interpretation_mf_2, slider_3_1, slider_3_2, chatbot_mf_1, user_important_mf])
+    chat_button_mf.click(func3, inputs=[num_selected_3, slider_3_1, num1, num2, user_important_mf], outputs=[slider_3_2, chatbot_mf_1, num1, num2, tot_scores])    
+    interpre_button_mf.click(interpre3, inputs=[num_selected_3], outputs=[interpretation_mf_2])
 
+    chat_button_mf_2.click(func3_written, inputs=[text_written, slider_3_3], outputs=[interpretation_mf_4, slider_3_4, chatbot_mf_2])
 
 if __name__ == "__main__":
     demo.launch()