Spaces:
Runtime error
Runtime error
remove charles dependancy on streamlit_av_queue
Browse files- app_interface_actor.py +33 -27
- charles_actor.py +8 -12
- streamlit_av_queue.py +4 -18
app_interface_actor.py
CHANGED
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@@ -20,6 +20,7 @@ class AppInterfaceActor:
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get_if_exists=True,
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).remote()
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async def enqueue_video_input_frame(self, shared_tensor_ref):
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if self.video_input_queue.full():
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evicted_item = await self.video_input_queue.get_async()
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@@ -32,40 +33,45 @@ class AppInterfaceActor:
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del evicted_item
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await self.audio_input_queue.put_async(shared_buffer_ref)
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async def
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audio_frames = []
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if self.audio_input_queue.empty():
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return audio_frames
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while not self.audio_input_queue.empty():
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-
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audio_frames.append(
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return audio_frames
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async def
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video_frames = []
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if self.video_input_queue.empty():
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return video_frames
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while not self.video_input_queue.empty():
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-
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video_frames.append(
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return video_frames
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-
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def get_audio_output_queue(self)->Queue:
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return self.audio_output_queue
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-
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def get_video_output_queue(self)->Queue:
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return self.video_output_queue
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-
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async def get_audio_output_frame(self):
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if self.audio_output_queue.empty():
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return None
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frame = await self.audio_output_queue.get_async()
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return frame
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-
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async def get_video_output_frame(self):
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if self.video_output_queue.empty():
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return None
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frame = None
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while not self.video_output_queue.empty():
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frame = await self.video_output_queue.get_async()
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return frame
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get_if_exists=True,
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).remote()
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+
# functions for UI to enqueue input, dequeue output
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async def enqueue_video_input_frame(self, shared_tensor_ref):
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if self.video_input_queue.full():
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evicted_item = await self.video_input_queue.get_async()
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del evicted_item
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await self.audio_input_queue.put_async(shared_buffer_ref)
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async def dequeue_audio_output_frame_async(self):
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if self.audio_output_queue.empty():
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return None
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frame = await self.audio_output_queue.get_async()
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return frame
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async def dequeue_video_output_frames_async(self):
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video_frames = []
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if self.video_output_queue.empty():
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return video_frames
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while not self.video_output_queue.empty():
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shared_tensor = await self.video_output_queue.get_async()
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video_frames.append(shared_tensor)
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return video_frames
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# functions for application to dequeue input, enqueue output
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def get_audio_output_queue(self)->Queue:
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return self.audio_output_queue
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async def enqueue_video_output_frame(self, shared_tensor_ref):
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if self.video_output_queue.full():
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evicted_item = await self.video_output_queue.get_async()
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del evicted_item
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await self.video_output_queue.put_async(shared_tensor_ref)
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async def dequeue_audio_input_frames_async(self):
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audio_frames = []
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if self.audio_input_queue.empty():
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return audio_frames
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while not self.audio_input_queue.empty():
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shared_tensor = await self.audio_input_queue.get_async()
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audio_frames.append(shared_tensor)
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return audio_frames
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async def dequeue_video_input_frames_async(self):
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video_frames = []
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if self.video_input_queue.empty():
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return video_frames
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while not self.video_input_queue.empty():
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shared_tensor = await self.video_input_queue.get_async()
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video_frames.append(shared_tensor)
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return video_frames
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charles_actor.py
CHANGED
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@@ -29,12 +29,11 @@ class CharlesActor:
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async def _initalize_resources(self):
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# Initialize resources
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print("000 - create
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self._state = "000 - creating
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from
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self.
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self._audio_output_queue = await self.
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self._video_output_queue = await self._streamlit_av_queue.get_video_output_queue()
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print("001 - create RespondToPromptActor")
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self._state = "001 - creating RespondToPromptActor"
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@@ -114,8 +113,8 @@ class CharlesActor:
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env_state = await self._environment_state_actor.begin_next_step.remote()
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self._environment_state = env_state
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self._agent_state_actor.begin_step.remote()
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-
audio_frames = await self.
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-
video_frames = await self.
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if len(audio_frames) > 0:
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total_audio_frames += len(audio_frames)
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@@ -215,11 +214,8 @@ class CharlesActor:
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is_talking = bool(count > 0)
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has_spoken_for_this_prompt = has_spoken_for_this_prompt or is_talking
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frame = self._animator.update(is_talking)
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-
if self._video_output_queue.full():
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-
evicted_item = await self._video_output_queue.get_async()
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del evicted_item
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frame_ref = ray.put(frame)
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await self.
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loops+=1
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self._state = f"Processed {total_video_frames} video frames and {total_audio_frames} audio frames, loops: {loops}. loops per second: {loops/(time.time()-start_time):.2f}. Is speaking: {is_talking}({count}). {vector_debug}"
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async def _initalize_resources(self):
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# Initialize resources
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print("000 - create AppInterfaceActor")
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self._state = "000 - creating AppInterfaceActor"
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from app_interface_actor import AppInterfaceActor
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self._app_interface_actor = AppInterfaceActor.get_singleton()
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self._audio_output_queue = await self._app_interface_actor.get_audio_output_queue.remote()
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print("001 - create RespondToPromptActor")
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self._state = "001 - creating RespondToPromptActor"
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env_state = await self._environment_state_actor.begin_next_step.remote()
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self._environment_state = env_state
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self._agent_state_actor.begin_step.remote()
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audio_frames = await self._app_interface_actor.dequeue_audio_input_frames_async.remote()
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video_frames = await self._app_interface_actor.dequeue_video_input_frames_async.remote()
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if len(audio_frames) > 0:
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total_audio_frames += len(audio_frames)
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is_talking = bool(count > 0)
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has_spoken_for_this_prompt = has_spoken_for_this_prompt or is_talking
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frame = self._animator.update(is_talking)
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frame_ref = ray.put(frame)
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await self._app_interface_actor.enqueue_video_output_frame.remote(frame_ref)
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loops+=1
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self._state = f"Processed {total_video_frames} video frames and {total_audio_frames} audio frames, loops: {loops}. loops per second: {loops/(time.time()-start_time):.2f}. Is speaking: {is_talking}({count}). {vector_debug}"
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streamlit_av_queue.py
CHANGED
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@@ -35,9 +35,9 @@ class StreamlitAVQueue:
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try:
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with self._lock:
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should_look = self._looking
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-
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if
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self._video_output_frame =
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for i, frame in enumerate(frames):
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user_image = frame.to_ndarray(format="rgb24")
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if should_look:
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@@ -94,7 +94,7 @@ class StreamlitAVQueue:
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# print (f"frame: {frame.format.name}, {frame.layout.name}, {frame.sample_rate}, {frame.samples}")
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assert frame.format.bytes == 2
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assert frame.format.name == 's16'
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frame_as_bytes = await self.app_interface_actor.
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if frame_as_bytes:
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# print(f"frame_as_bytes: {len(frame_as_bytes)}")
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assert len(frame_as_bytes) == frame.samples * frame.format.bytes
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@@ -111,17 +111,3 @@ class StreamlitAVQueue:
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except Exception as e:
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print (e)
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return new_frames
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-
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async def get_audio_input_frames_async(self) -> List[av.AudioFrame]:
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shared_buffers = await self.app_interface_actor.get_audio_input_frames.remote()
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return shared_buffers
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-
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async def get_video_frames_async(self) -> List[av.AudioFrame]:
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shared_tensors = await self.app_interface_actor.get_video_input_frames.remote()
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return shared_tensors
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-
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def get_audio_output_queue(self)->Queue:
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return self.app_interface_actor.get_audio_output_queue.remote()
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-
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def get_video_output_queue(self)->Queue:
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return self.app_interface_actor.get_video_output_queue.remote()
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try:
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with self._lock:
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should_look = self._looking
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video_output_frames = await self.app_interface_actor.dequeue_video_output_frames_async.remote()
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if len(video_output_frames) > 0:
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self._video_output_frame = video_output_frames[-1]
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for i, frame in enumerate(frames):
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user_image = frame.to_ndarray(format="rgb24")
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if should_look:
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# print (f"frame: {frame.format.name}, {frame.layout.name}, {frame.sample_rate}, {frame.samples}")
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assert frame.format.bytes == 2
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assert frame.format.name == 's16'
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frame_as_bytes = await self.app_interface_actor.dequeue_audio_output_frame_async.remote()
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if frame_as_bytes:
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# print(f"frame_as_bytes: {len(frame_as_bytes)}")
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assert len(frame_as_bytes) == frame.samples * frame.format.bytes
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except Exception as e:
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print (e)
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return new_frames
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