Update app.py

app.py

@@ -10,14 +10,16 @@ device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 model.to(device)
 
 def transcribe(audio):
+    def transcribe(audio):
     try:
         if audio is None:
-            return "No audio provided"
+            return "No audio provided."
 
         sr, data = audio
         print(f"Sample rate: {sr}, Audio shape: {len(data)}")
 
-        waveform = torch.tensor(data).unsqueeze(0)
+        waveform = torch.tensor(data, dtype=torch.float32).unsqueeze(0)
+        waveform = waveform / 32768.0  # normalize 16-bit PCM
 
         if sr != 16000:
             resampler = torchaudio.transforms.Resample(orig_freq=sr, new_freq=16000)