diff --git a/video2x/interpolator.py b/video2x/interpolator.py
index f414962..8404957 100755
--- a/video2x/interpolator.py
+++ b/video2x/interpolator.py
@@ -22,105 +22,74 @@ Date Created: May 27, 2021
 Last Modified: March 20, 2022
 """
 
-import multiprocessing
-import queue
-import signal
 import time
-from multiprocessing.managers import ListProxy
-from multiprocessing.sharedctypes import Synchronized
 
 from loguru import logger
 from PIL import ImageChops, ImageStat
 from rife_ncnn_vulkan_python.rife_ncnn_vulkan import Rife
 
-ALGORITHM_CLASSES = {"rife": Rife}
+from .processor import Processor
 
 
-class Interpolator(multiprocessing.Process):
-    def __init__(
-        self,
-        processing_queue: multiprocessing.Queue,
-        processed_frames: ListProxy,
-        pause: Synchronized,
-    ) -> None:
-        multiprocessing.Process.__init__(self)
-        self.processing_queue = processing_queue
-        self.processed_frames = processed_frames
-        self.pause = pause
+class Interpolator:
+    ALGORITHM_CLASSES = {"rife": Rife}
 
-        self.running = False
-        self.processor_objects = {}
+    processor_objects = {}
 
-        signal.signal(signal.SIGTERM, self._stop)
-
-    def run(self) -> None:
-        self.running = True
-        logger.opt(colors=True).info(
-            f"Interpolator process <blue>{self.name}</blue> initiating"
+    def interpolate_image(self, image0, image1, difference_threshold, algorithm):
+        difference = ImageChops.difference(image0, image1)
+        difference_stat = ImageStat.Stat(difference)
+        difference_ratio = (
+            sum(difference_stat.mean) / (len(difference_stat.mean) * 255) * 100
         )
-        while self.running is True:
+
+        if difference_ratio < difference_threshold:
+            processor_object = self.processor_objects.get(algorithm)
+            if processor_object is None:
+                processor_object = self.ALGORITHM_CLASSES[algorithm](0)
+                self.processor_objects[algorithm] = processor_object
+            interpolated_image = processor_object.process(image0, image1)
+
+        else:
+            interpolated_image = image0
+
+        return interpolated_image
+
+
+class InterpolatorProcessor(Processor, Interpolator):
+    def process(self) -> None:
+        task = self.tasks_queue.get()
+        while task is not None:
             try:
-                # pause if pause flag is set
-                if self.pause.value is True:
+                if self.pause_flag.value is True:
                     time.sleep(0.1)
                     continue
 
-                try:
-                    # get new job from queue
-                    (
-                        frame_index,
-                        (image0, image1),
-                        (difference_threshold, algorithm),
-                    ) = self.processing_queue.get(False)
-                except queue.Empty:
-                    time.sleep(0.1)
-                    continue
+                (
+                    frame_index,
+                    image0,
+                    image1,
+                    (difference_threshold, algorithm),
+                ) = task
 
-                # if image0 is None, image1 is the first frame
-                # skip this round
                 if image0 is None:
+                    task = self.tasks_queue.get()
                     continue
 
-                # calculate the %diff between the current frame and the previous frame
-                difference = ImageChops.difference(image0, image1)
-                difference_stat = ImageStat.Stat(difference)
-                difference_ratio = (
-                    sum(difference_stat.mean) / (len(difference_stat.mean) * 255) * 100
+                interpolated_image = self.interpolate_image(
+                    image0, image1, difference_threshold, algorithm
                 )
 
-                # if the difference is lower than threshold
-                # process the interpolation
-                if difference_ratio < difference_threshold:
-                    # select a processor object with the required settings
-                    # create a new object if none are available
-                    processor_object = self.processor_objects.get(algorithm)
-                    if processor_object is None:
-                        processor_object = ALGORITHM_CLASSES[algorithm](0)
-                        self.processor_objects[algorithm] = processor_object
-                    interpolated_image = processor_object.process(image0, image1)
-
-                # if the difference is greater than threshold
-                # there's a change in camera angle, ignore
-                else:
-                    interpolated_image = image0
-
                 if frame_index == 1:
                     self.processed_frames[0] = image0
                 self.processed_frames[frame_index * 2 - 1] = interpolated_image
                 self.processed_frames[frame_index * 2] = image1
 
-            # send exceptions into the client connection pipe
+                task = self.tasks_queue.get()
+
             except (SystemExit, KeyboardInterrupt):
                 break
 
             except Exception as error:
                 logger.exception(error)
                 break
-
-        logger.opt(colors=True).info(
-            f"Interpolator process <blue>{self.name}</blue> terminating"
-        )
-        return super().run()
-
-    def _stop(self, _signal_number, _frame) -> None:
-        self.running = False
diff --git a/video2x/video2x.py b/video2x/video2x.py
index 37efbee..5c7e9a2 100755
--- a/video2x/video2x.py
+++ b/video2x/video2x.py
@@ -69,7 +69,7 @@ from video2x.processor import Processor
 from . import __version__
 from .decoder import VideoDecoder, VideoDecoderThread
 from .encoder import VideoEncoder
-from .interpolator import Interpolator
+from .interpolator import Interpolator, InterpolatorProcessor
 from .upscaler import Upscaler, UpscalerProcessor
 
 # for desktop environments only
@@ -102,7 +102,7 @@ class ProcessingSpeedColumn(ProgressColumn):
 
 class ProcessingMode(Enum):
     UPSCALE = {"label": "Upscaling", "processor": UpscalerProcessor}
-    INTERPOLATE = {"label": "Interpolating", "processor": Interpolator}
+    INTERPOLATE = {"label": "Interpolating", "processor": InterpolatorProcessor}
 
 
 class Video2X:
@@ -179,7 +179,7 @@ class Video2X:
         # elif mode == ProcessingMode.INTERPOLATE:
         else:
             standalone_processor: Any = Interpolator.ALGORITHM_CLASSES[
-                processing_settings[2]
+                processing_settings[1]
             ]
             if getattr(standalone_processor, "process", None) is None:
                 standalone_processor().process_video(
@@ -222,7 +222,7 @@ class Video2X:
         logger.info("Starting video encoder")
         encoder = VideoEncoder(
             input_path,
-            frame_rate * 2 if mode == "interpolate" else frame_rate,
+            frame_rate * 2 if mode == ProcessingMode.INTERPOLATE else frame_rate,
             output_path,
             output_width,
             output_height,
@@ -337,6 +337,7 @@ class Video2X:
 
         else:
             logger.info("Processing has completed")
+            logger.info("Writing video trailer")
 
         finally:
             # stop keyboard listener