Update app.py

app.py

@@ -45,15 +45,15 @@ def classify_emotion(audio):
         #### Emotion classification ####
         emotion_classifier = foreign_class(source="speechbrain/emotion-recognition-wav2vec2-IEMOCAP", pymodule_file="custom_interface.py", classname="CustomEncoderWav2vec2Classifier")
         out_prob, score, index, text_lab = emotion_classifier.classify_file(audio)
-        emostr = "emo class"
-        return  emo_dict[text_lab[0]], emostr
+        return  emo_dict[text_lab[0]]
     
 # Create a Gradio interface with audio file and text inputs
 def classify_toxicity(audio_file, text_input, classify_anxiety, emo_class, explitive_selection):
     # Transcribe the audio file using Whisper ASR
     if audio_file != None:
         transcribed_text = pipe(audio_file)["text"]
-    
+
+    print("emo_class ", emo_class, "explitive select", explitive_selection)
     else:
         transcribed_text = text_input
     if classify_anxiety != "misophonia":