Update app.py

app.py

@@ -1,6 +1,7 @@
 import gradio as gr
 import torch
 import whisper
+from transformers import pipeline
 
 ### ————————————————————————————————————————
 
@@ -12,6 +13,8 @@ whisper_model = whisper.load_model("small")
 
 device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
 
+emotion_classifier = pipeline("text-classification",model='bhadresh-savani/distilbert-base-uncased-emotion')
+
 def translate(audio):
     print("""
     —