Can not read audio and video together

[IsmaelDeveloper]

Hello ! I come here because I face a problem and I dont understand how to find a solution.
I use aiortc with pyqt. Actually I made audio work. I can hear voice perfectly. I made video worked. I can see face perfectly too etc..
BUT, when I I add 2 track , so one audio and one video, suddently nothing happend. It stay blocked in the recv for each function.
Here the interesting part of my code :

 def setup_peer_connection_events(self):
        @self.peer_connection.on("datachannel")
        def on_datachannel(channel):
            print(channel, "-", "created by remote party")
            channel.send("Hello From Answerer via RTC Datachannel")

            @channel.on("message")
            async def on_message(message):
                print("Received via RTC Datachannel: ", message)

            asyncio.ensure_future(self.send_pings(channel))

        @self.peer_connection.on("track")
        async def on_track(track):
            if track.kind == "video":
                asyncio.create_task(self.handle_video_track(track))
            elif track.kind == "audio":
                asyncio.create_task(self.handle_audio_track(track))

    async def handle_audio_track(self, track):
        relay = MediaRelay()
        relayed_track = relay.subscribe(track)
        p = pyaudio.PyAudio()
        stream = p.open(format=pyaudio.paInt16, channels=2,
                        rate=48000, output=True, frames_per_buffer=960)

        while True:
            print("try to get audio frame")
            frame = await relayed_track.recv()
            print("Audio frame:", frame)
            data = frame.to_ndarray().tobytes()
            print("Length of data:", len(data))
            stream.write(data)

    async def handle_video_track(self, track: MediaStreamTrack):
        relay = MediaRelay()
        relayed_track = relay.subscribe(track)

        while True:
            print("try to get video frame")
            frame = await relayed_track.recv()
            video_frame = frame.to_ndarray(
                format="bgr24")  # Convertir en ndarray
            self.video_frame_received.emit(video_frame)