Update app.py

app.py

@@ -13,7 +13,7 @@ tts_model = AutoModelForTextToWaveform.from_pretrained("Baghdad99/english_voice_
 
 # Modify the translate function to accept the sampling_rate argument
 def translate(audio_signal, sampling_rate):
-    inputs = asr_processor(audio_signal, return_tensors="pt", padding=True, sampling_rate=sampling_rate)
+    inputs = asr_processor(audio_signal, sampling_rate=sampling_rate, return_tensors="pt", padding=True)
     logits = asr_model(inputs.input_values).logits
     predicted_ids = torch.argmax(logits, dim=-1)
     transcription = asr_processor.decode(predicted_ids[0])