@@ -39,7 +39,7 @@ from ml_model.models import NeuronModel
 from ml_model.validators import ModelInputValidator
 from payments.exceptions.insufficient_balance import InsufficientBalance
 
-from .models import Audio, Image, Video, VoiceClone, Voice, Preset
+from .models import Audio, Image, Video, VoiceClone
 
 logger = logging.getLogger(__name__)
 
@@ -266,40 +266,6 @@ class ModelVideosAPIView(MediaAPIView):
 class ModelAudiosAPIVIew(MediaAPIView):
     manager = Audio
 
-    @extend_schema(
-        parameters=[
-            OpenApiParameter('model', str, 'path', required=True),
-        ],
-        request=MessageSerializer,
-        responses={
-            201: MessageSerializer(many=True),
-        },
-    )
-    def post(self, request: Request, model: str, *args, **kwargs) -> Response:
-        data = get_request_data(request)
-        if not (request.FILES.get('file') or data.get('file')):
-            voice_id = data.pop('voice_id', None)
-            preset_id = data.pop('preset_id', None)
-
-            try:
-                if voice_id:
-                    voice = Voice.objects.get(pk=voice_id, user=request.user)
-                    transcription = voice.transcription
-                elif preset_id:
-                    voice = Preset.objects.get(uid=preset_id)
-                    transcription = voice.metadata.get('transcription', '')
-                else:
-                    return super().post(request, model, *args, **kwargs)
-            except (Voice.DoesNotExist, Preset.DoesNotExist):
-                return Response(
-                    {'detail': _('Voice not found.')},
-                    status=HTTP_400_BAD_REQUEST,
-                )
-
-            info = data['info']
-            data.update({'file': voice.file, 'info': {'transcription': transcription, **info}})
-        return super().post(request, model, data=data, *args, **kwargs)
-
 
 class ModelVoiceCloneAPIView(MediaAPIView):
     manager = VoiceClone
@@ -14,7 +14,6 @@ from ml_model.models import NeuronModel
 from ml_model.selectors.ml_models_selector import NeuronModelSelector
 from ml_model.selectors.param_selector import ParamSelector
 from ml_model.serializers import ModelParameterSerializer
-from tools.media.models import Preset, Voice
 from tools.public_api.models import APIStore
 from tools.public_api.selectors.api_key import APIKeySelector
 from tools.public_api.views.base import BaseGenerationView
@@ -36,34 +35,6 @@ class AudioView(BaseGenerationView):
     output_content_type = ContentTypes.AUDIO
     description = 'Get Audio Generation from model in URL slug. Only POST Requests.'
 
-    def post(self, request, model_slug, *args, **kwargs):
-        if not (request.FILES.get('file') or request.data.get('file')):
-            api_key_value = request.headers.get('Authorization')
-            if (split_api_key := api_key_value.split())[0] == 'Bearer':
-                api_key_value = split_api_key[-1]
-            user = APIKeySelector.get_user_by_key(key_value=api_key_value)
-            voice_id = str(request.data.pop('voice_id', ''))
-            try:
-                if not voice_id:
-                    return super().post(request, model_slug, *args, **kwargs)
-                elif voice_id.isdigit():
-                    voice = Voice.objects.get(pk=voice_id, user=user)
-                    # transcription = voice.transcription
-                else:
-                    voice = Preset.objects.get(uid=voice_id)
-                    # transcription = voice.metadata.get('transcription', '')
-            except (Voice.DoesNotExist, Preset.DoesNotExist):
-                return Response(
-                    {'detail': _('Voice not found.')},
-                    status=HTTP_400_BAD_REQUEST,
-                )
-            request.data.update(
-                {
-                    'file': voice.file,  # 'info': {'transcription': transcription, **request.data['info']}
-                }
-            )
-        return super().post(request, model_slug, *args, **kwargs)
-
 
 class VideoView(BaseGenerationView):
     output_content_type = ContentTypes.VIDEO