wip: fix mp3

api/src/services/streaming_audio_writer.py

@@ -50,11 +50,15 @@ class StreamingAudioWriter:
 
         if finalize:
             if self.format != "pcm":
+                # Properly finalize the container
+                if hasattr(self, 'stream') and self.stream:
                     packets = self.stream.encode(None)
                     for packet in packets:
                         self.container.mux(packet)
+                    # Important: Call close() on the container
+                    self.container.close()
 
-                data=self.output_buffer.getvalue()
+                data = self.output_buffer.getvalue() if hasattr(self, 'output_buffer') else b''
                 self.close()
                 return data
 
@@ -64,6 +68,20 @@ class StreamingAudioWriter:
         if self.format == "pcm":
             # Write raw bytes
             return audio_data.tobytes()
+        elif self.format == "mp3":
+            # For MP3, we need to handle streaming differently
+            frame = av.AudioFrame.from_ndarray(audio_data.reshape(1, -1), format='s16', layout='mono' if self.channels == 1 else 'stereo')
+            frame.sample_rate = self.sample_rate
+            frame.pts = self.pts
+            self.pts += frame.samples
+
+            packets = self.stream.encode(frame)
+            for packet in packets:
+                self.container.mux(packet)
+
+            # For MP3, just return an empty byte string to indicate processing occurred
+            # The complete MP3 file will be returned during finalization
+            return b''
         else:
             frame = av.AudioFrame.from_ndarray(audio_data.reshape(1, -1), format='s16', layout='mono' if self.channels == 1 else 'stereo')
             frame.sample_rate=self.sample_rate
@@ -80,4 +98,3 @@ class StreamingAudioWriter:
             self.output_buffer.seek(0)
             self.output_buffer.truncate(0)
             return data
-

api/src/services/tts_service.py

@@ -245,6 +245,12 @@ class TTSService:
         stream_normalizer = AudioNormalizer()
         chunk_index = 0
         current_offset = 0.0
+
+        # For MP3 format, we'll collect all audio chunks and encode at the end
+        is_mp3_format = output_format.lower() == "mp3"
+        all_audio_chunks = []
+        all_word_timestamps = []
+
         try:
             # Get backend
             backend = self.model_manager.get_backend()
@@ -268,13 +274,15 @@ class TTSService:
                         voice_path,  # Pass voice path
                         speed,
                         writer,
-                        output_format,
+                        # For MP3, we don't pass the output format during processing
+                        None if is_mp3_format else output_format,
                         is_first=(chunk_index == 0),
                         is_last=False,  # We'll update the last chunk later
                         normalizer=stream_normalizer,
                         lang_code=pipeline_lang_code,  # Pass lang_code
                         return_timestamps=return_timestamps,
                     ):
+                        # Update timestamps with current offset
                         if chunk_data.word_timestamps is not None:
                             for timestamp in chunk_data.word_timestamps:
                                 timestamp.start_time += current_offset
@@ -282,18 +290,55 @@ class TTSService:
 
                         current_offset += len(chunk_data.audio) / 24000
 
+                        if is_mp3_format:
+                            # Collect audio for MP3 final encoding
+                            if len(chunk_data.audio) > 0:
+                                all_audio_chunks.append(chunk_data.audio)
+                            if chunk_data.word_timestamps:
+                                all_word_timestamps.extend(chunk_data.word_timestamps)
+                        else:
+                            # For other formats, stream normally
                             if chunk_data.output is not None:
                                 yield chunk_data
-
                             else:
                                 logger.warning(f"No audio generated for chunk: '{chunk_text[:100]}...'")
+
                         chunk_index += 1
+
                 except Exception as e:
                     logger.error(f"Failed to process audio for chunk: '{chunk_text[:100]}...'. Error: {str(e)}")
                     continue
 
             # Only finalize if we successfully processed at least one chunk
             if chunk_index > 0:
+                if is_mp3_format:
+                    # For MP3, create a combined audio file
+                    if all_audio_chunks:
+                        try:
+                            # Combine all audio chunks
+                            combined_audio = np.concatenate(all_audio_chunks)
+
+                            # Create a fresh MP3 writer for final encoding
+                            mp3_writer = StreamingAudioWriter("mp3", sample_rate=settings.sample_rate)
+
+                            # Write all audio at once and finalize
+                            mp3_writer.write_chunk(combined_audio)
+                            mp3_data = mp3_writer.write_chunk(finalize=True)
+                            mp3_writer.close()
+
+                            # Create the final chunk with all audio and timestamps
+                            result_chunk = AudioChunk(
+                                audio=combined_audio,
+                                word_timestamps=all_word_timestamps,
+                                output=mp3_data
+                            )
+                            yield result_chunk
+
+                        except Exception as e:
+                            logger.error(f"Failed to create final MP3 file: {str(e)}")
+                            raise RuntimeError(f"MP3 encoding failed: {str(e)}")
+                else:
+                    # For other formats, just finalize the stream
                     try:
                         # Empty tokens list to finalize audio
                         async for chunk_data in self._process_chunk(
@@ -315,9 +360,8 @@ class TTSService:
                         logger.error(f"Failed to finalize audio stream: {str(e)}")
 
         except Exception as e:
-            logger.error(f"Error in phoneme audio generation: {str(e)}")
+            logger.error(f"Error in audio generation: {str(e)}")
             raise e
-
     async def generate_audio(
         self,
         text: str,