Update app.py

app.py

@@ -12,7 +12,7 @@ tokenizer = AutoTokenizer.from_pretrained("alirezamsh/small100")
 model = AutoModelForSeq2SeqLM.from_pretrained("alirezamsh/small100")
 
 def translate_speech(audio, target_lang):
-    audio = audio[0].astype("float32")  # Extract audio from tuple and convert to float32
+    audio = audio.astype("float32")  # Convert audio to float32
     audio = whisper.pad_or_trim(audio, whisper_model.audio_config.sample_rate)
     mel = whisper.log_mel_spectrogram(audio).to(whisper_model.device)
     _, probs = whisper_model.detect_language(mel)