Update app.py

app.py

@@ -1,9 +1,13 @@
 import gradio as gr
 import numpy as np
 import torch
-from datasets import load_dataset
+from datasets import load_dataset, Audio
+from transformers import SpeechT5ForTextToSpeech, SpeechT5HifiGan, SpeechT5Processor, pipeline, WhisperFeatureExtractor, WhisperTokenizer, WhisperProcessor, AutomaticSpeechRecognitionPipeline, WhisperForConditionalGeneration
+import librosa
+from dataclasses import dataclass
+
+
 
-from transformers import SpeechT5ForTextToSpeech, SpeechT5HifiGan, SpeechT5Processor, pipeline
 
 
 device = "cuda:0" if torch.cuda.is_available() else "cpu"