Update app.py

app.py

@@ -109,11 +109,16 @@ def classify_toxicity(audio_file, text_input, classify_anxiety, emo_class, expli
         print("class output ", type(classification_output))
         # classification_df = pd.DataFrame.from_dict(classification_output)
         print("keys ", classification_output.keys())
+        
+        formatted_classification_output = ""
+        for label, score in classification_output.items():
+            formatted_classification_output += f"{label}: {score:.4f}\n"
 
         # plot.update(x=classification_df["labels"], y=classification_df["scores"])
         if toxicity_score > threshold:
             print("threshold exceeded!!")
-        return toxicity_score, classification_output, transcribed_text
+        
+        return toxicity_score, formatted_classification_output, transcribed_text
         # return f"Toxicity Score ({available_models[selected_model]}): {toxicity_score:.4f}"
     else: 
         threshold = slider_logic(slider)