Update app.py

app.py

@@ -1,7 +1,6 @@
 import numpy as np
 import torch
 import gradio as gr
-import librosa
 from transformers import Wav2Vec2ForCTC, Wav2Vec2Processor
 
 # Load ASR model & processor
@@ -16,6 +15,9 @@ asr_model.to(device)
 
 # Function to process audio & generate text
 def generate_text(audio):
+    if audio is None:
+        return "No audio received"
+        
     sr, data = audio
     data = data.astype(np.float32)
     input_dict = asr_processor(data, sampling_rate=16_000, return_tensors="pt", padding=True)