Update app.py

app.py

@@ -111,7 +111,8 @@ def classify_toxicity(audio_file, text_input, classify_anxiety, emo_class, expli
         # classification_df = pd.DataFrame.from_dict(classification_output)
         print("keys ", classification_output.keys())
         
-        formatted_classification_output = ""
+        formatted_classification_output = "\n".join([f"{key}: {value}" for key, value in classification_output.items()])
+
 
         # plot.update(x=classification_df["labels"], y=classification_df["scores"])
         if toxicity_score > threshold:
@@ -120,7 +121,7 @@ def classify_toxicity(audio_file, text_input, classify_anxiety, emo_class, expli
         else:
             affirm = ""
  
-        return toxicity_score, classification_output, transcribed_text, affirm
+        return toxicity_score, formatted_classification_output, transcribed_text, affirm
         # return f"Toxicity Score ({available_models[selected_model]}): {toxicity_score:.4f}"
     else: 
         threshold = slider_logic(slider)