process audio back array diemntion error

infer.py

@@ -141,7 +141,7 @@ async def websocket_endpoint(websocket: WebSocket):
 async def process_audio_stream(websocket: WebSocket):
     """Continuously receive audio chunks and initiate transcription tasks."""
     sampling_rate = 16000
-    min_chunk_size = 1  # in seconds
+    min_chunk_size = 5  # in seconds
     audio_buffer = np.array([], dtype=np.float32)
 
     transcription_task = None
@@ -160,10 +160,10 @@ async def process_audio_stream(websocket: WebSocket):
             total_bytes_received += chunk_size
             #logger.debug(f"Received chunk {chunk_counter}: {chunk_size} bytes")
 
-            #audio_chunk = process_received_audio(data)
+            audio_chunk = process_received_audio(data)
             #logger.debug(f"Processed audio chunk {chunk_counter}: {len(audio_chunk)} samples")
 
-            audio_buffer = np.concatenate((audio_buffer, data))
+            audio_buffer = np.concatenate((audio_buffer, audio_chunk))
             #logger.debug(f"Audio buffer size: {len(audio_buffer)} samples")
         except Exception as e:
             logger.error(f"Error receiving data: {e}")
@@ -238,16 +238,16 @@ def sync_transcribe_audio(audio_data):
         logger.error(f"Transcription error: {e}")
         return {}
 
-# def process_received_audio(data):
-#     """Convert received bytes into normalized float32 NumPy array."""
-#     #logger.debug(f"Processing received audio data of size {len(data)} bytes")
-#     audio_int16 = np.frombuffer(data, dtype=np.int16)
-#     #logger.debug(f"Converted to int16 NumPy array with {len(audio_int16)} samples")
-#
-#     audio_float32 = audio_int16.astype(np.float32) / 32768.0  # Normalize to [-1, 1]
-#     #logger.debug(f"Normalized audio data to float32 with {len(audio_float32)} samples")
-#
-#     return audio_float32
+def process_received_audio(data):
+    """Convert received bytes into normalized float32 NumPy array."""
+    #logger.debug(f"Processing received audio data of size {len(data)} bytes")
+    audio_int16 = np.frombuffer(data, dtype=np.int16)
+    #logger.debug(f"Converted to int16 NumPy array with {len(audio_int16)} samples")
+
+    audio_float32 = audio_int16.astype(np.float32) / 32768.0  # Normalize to [-1, 1]
+    #logger.debug(f"Normalized audio data to float32 with {len(audio_float32)} samples")
+
+    return audio_float32