Update app.py

app.py

@@ -116,11 +116,10 @@ def classify_toxicity(audio_file, text_input, classify_anxiety, emo_class, expli
         # plot.update(x=classification_df["labels"], y=classification_df["scores"])
         if toxicity_score > threshold:
             print("threshold exceeded!! Launch intervention")
-            output_col = intervention_output(intervention)
-        else:
-            intervene = " "
-        
-        return toxicity_score, classification_output, transcribed_text, output_col
+            holder = intervention_output(intervention)
+            
+        print("output column: ", holder)
+        return toxicity_score, classification_output, transcribed_text, holder
         # return f"Toxicity Score ({available_models[selected_model]}): {toxicity_score:.4f}"
     else: 
         threshold = slider_logic(slider)
@@ -197,9 +196,9 @@ with gr.Blocks() as iface:
         out_val = gr.Textbox()
         out_class = gr.Textbox()
     with gr.Column(visible=False) as output_col:
-        out_text = gr.Textbox(visible=False)
-        out_img = gr.Image(value="hrv-breathing.gif", visible=False)
-        out_aud = gr.Audio(value="calm.wav", visible=False)
+        out_text = gr.Textbox()
+        out_img = gr.Image(value="hrv-breathing.gif")
+        out_aud = gr.Audio(value="calm.wav")
     submit_btn.click(fn=classify_toxicity, inputs=[aud_input, text, anxiety_class, emo_class, explit_preference, sense_slider, intervention_type], outputs=[out_val, out_class, out_text, output_col])
 
 iface.launch()