streamTranscription method

Implementation

Future<TranscriptionStream> streamTranscription({
  required Uint8List fileBytes,
  required String filename,
  required AudioModel model,
  String? chunkingStrategy,
  List<String>? include,
  String? language,
  String? prompt,
  // Response format must be json for streaming models.
  AudioResponseFormat responseFormat = AudioResponseFormat.json,
  num? temperature,
  List<String>? timestampGranularities,
}) async {
  final boundary = '----dart-openai-${DateTime.now().microsecondsSinceEpoch.toRadixString(16)}';

  // Build the multipart/form-data body manually so we can feed it to SseClient.
  final body = _buildMultipartBody(
    boundary: boundary,
    fileField: 'file',
    filename: filename,
    fileBytes: fileBytes,
    fields: {
      'model': model.toJson(),
      'stream': 'true',
      'response_format': responseFormat.toJson(),
      if (chunkingStrategy != null) 'chunking_strategy': chunkingStrategy,
      if (language != null) 'language': language,
      if (prompt != null) 'prompt': prompt,
      if (temperature != null) 'temperature': temperature.toString(),
      if (include != null)
        for (final i in include) 'include[]': i,
      if (timestampGranularities != null)
        for (final t in timestampGranularities) 'timestamp_granularities[]': t,
    },
  );

  final sse = SseClient(
    baseUrl.resolve('audio/transcriptions'),
    headers: getHeaders({
      'Content-Type': 'multipart/form-data; boundary=$boundary',
    }),
    httpClient: httpClient,
    body: body,
  );

  return TranscriptionStream(sse);
}