Update app.py

app.py

@@ -204,19 +204,25 @@ def transcribe_audio(audio, sample_rate=None):
             print(f"Audio array dtype: {audio_array.dtype}")
         
         # Guard against invalid input
-        if audio_array is None or (isinstance(audio_array, (list, np.ndarray)) and len(audio_array) == 0):
+        if audio_array is None:
             print("Empty audio data received")
             return "Error: No audio data received"
+            
+        if isinstance(audio_array, (list, np.ndarray)):
+            if len(audio_array) == 0:
+                print("Empty audio array received")
+                return "Error: No audio data received"
         
         # Convert to numpy array if needed
         if not isinstance(audio_array, np.ndarray):
             print("Converting to numpy array")
             audio_array = np.array(audio_array, dtype=np.float32)
         
-        # Normalize audio if needed
-        if audio_array.max() > 1.0 or audio_array.min() < -1.0:
-            print("Normalizing audio values to [-1.0, 1.0] range")
-            audio_array = np.clip(audio_array / 32768.0, -1.0, 1.0)
+        # Normalize audio if needed - fix for the ambiguous truth value error
+        max_val = np.max(np.abs(audio_array))
+        if max_val > 1.0:
+            print(f"Normalizing audio values from max {max_val} to [-1.0, 1.0] range")
+            audio_array = audio_array / max_val
         
         # Get temporary file
         with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as temp_file: