          self._display.source = self._input_images
          self._display.update_source = True
          logger.debug("Selected frames: %s", [frame["filename"] for frame in self._input_images])
  
      def _predict(self):
          """ Predict from the loaded frames.
  
          With a threading lock (to prevent stacking), run the selected faces through the Faceswap
          model predict function and add the output to :attr:`predicted`
          """
 
</s> remove         logger.debug("Selected frames: %s", [frame["filename"] for frame in self._input_images])
 </s> add         logger.debug("Selected frames: %s",
                     [frame.inbound.filename for frame in self._input_images]) </s> remove             self._input_images.append({"filename": filename,
                                       "image": image,
                                       "detected_faces": [detected_face]})
 </s> add             inbound = ExtractMedia(filename=filename, image=image, detected_faces=[detected_face])
            self._input_images.append(ConvertItem(inbound=inbound)) </s> remove     def generate(self):
 </s> add     def generate(self) -> None: </s> remove     def alignments(self):
 </s> add     def alignments(self) -> Alignments: </s> remove     def output_size(self):
 </s> add     def output_size(self) -> int:
    def _predict(self) -> None:
          self._display.source = self._input_images
          self._display.update_source = True
          logger.debug("Selected frames: %s", [frame["filename"] for frame in self._input_images])
  
    def _predict(self) -> None:
          """ Predict from the loaded frames.
  
          With a threading lock (to prevent stacking), run the selected faces through the Faceswap
          model predict function and add the output to :attr:`predicted`
          """
keep keep keep keep replace keep keep keep keep keep
 Bugfix: convert - Gif Writer
  - Fix non-launch error on Gif Writer
  - convert plugins - linting
  - convert/fs_media/preview/queue_manager - typing
  - Change convert items from dict to Dataclass 
tools/preview/preview.py