Update app.py

app.py

@@ -88,9 +88,11 @@ def classify_toxicity(audio_file, text_input, classify_anxiety, emo_class, expli
         # classification_output = classifier(sequence_to_classify, candidate_labels, multi_label=False)
         classification_output = text_classifier(sequence_to_classify, candidate_labels, multi_label=True)
         print("class output ", type(classification_output))
+        classification_df = pd.DataFrame.from_dict(classification_output)
+        print("df ", classification_df)
 
      
-        return toxicity_score, classification_output, transcribed_text
+        return toxicity_score, classification_df, transcribed_text
         # return f"Toxicity Score ({available_models[selected_model]}): {toxicity_score:.4f}"
     else: 
         model = whisper.load_model("large")