Starting to create a local smart turn

src/pipecat/audio/turn/local_smart_turn.py

@@ -0,0 +1,51 @@
+#
+# Copyright (c) 2024–2025, Daily
+#
+# SPDX-License-Identifier: BSD 2-Clause License
+#
+
+
+import numpy as np
+from loguru import logger
+
+from pipecat.audio.turn.base_turn_analyzer import BaseEndOfTurnAnalyzer, EndOfTurnState
+
+
+class LocalSmartTurnAnalyzer(BaseEndOfTurnAnalyzer):
+    def __init__(self):
+        super().__init__()
+        self._audio_buffer = bytearray()
+
+        logger.debug("Loading Local Smart Turn model...")
+
+        # TODO: implement it
+
+        logger.debug("Loaded Local Smart Turn")
+
+    def analyze_audio(self, buffer: bytes) -> EndOfTurnState:
+        self._audio_buffer += buffer
+
+        # TODO: we probably don't need this
+        # Checking if we have at least 6 seconds of audio
+        # if len(self._audio_buffer) < 16000 * 2 * 6:
+        #    return EndOfTurnState.INCOMPLETE
+
+        audio_int16 = np.frombuffer(self._audio_buffer, dtype=np.int16)
+
+        # Divide by 32768 because we have signed 16-bit data.
+        audio_float32 = np.frombuffer(audio_int16, dtype=np.int16).astype(np.float32) / 32768.0
+
+        # TODO: implement to use the smart turn
+        # for now it is always returning as complete only for testing it
+        prediction = 1
+
+        state = EndOfTurnState.COMPLETE if prediction == 1 else EndOfTurnState.INCOMPLETE
+
+        if state == EndOfTurnState.COMPLETE:
+            # clears the buffer completely
+            self._audio_buffer = bytearray()
+        else:
+            # TODO: implement it
+            pass
+
+        return state

src/pipecat/transports/base_input.py

@@ -172,9 +172,16 @@ class BaseInputTransport(FrameProcessor):
         elif isinstance(frame, UserStoppedSpeakingFrame):
             logger.debug("User stopped speaking")
             await self.push_frame(frame)
+
+            # TODO check, we probably should change here as well.
+            # if the end of turn is enabled, we should only stop interruption after this point
             if self.interruptions_allowed:
                 await self._stop_interruption()
                 await self.push_frame(StopInterruptionFrame())
+        elif isinstance(frame, UserEndOfTurnFrame):
+            logger.debug("User end of turn")
+            await self.push_frame(frame)
+            # TODO: implement to handle interruptions
 
     #
     # Audio input
@@ -220,7 +227,7 @@ class BaseInputTransport(FrameProcessor):
     ):
         new_eot_state = await self._end_of_turn_analyze(audio_frame)
         if new_eot_state != end_of_turn_state:
-            await self.push_frame(UserEndOfTurnFrame())
+            await self._handle_user_interruption(UserEndOfTurnFrame())
         return new_eot_state
 
     async def _audio_task_handler(self):
@@ -239,9 +246,13 @@ class BaseInputTransport(FrameProcessor):
             # changes from QUIET to SPEAKING and vice versa.
             if self._params.vad_enabled:
                 vad_state = await self._handle_vad(frame, vad_state)
+                # TODO: need to check if we need to keep it later
+                if vad_state == VADState.QUIET:
+                    end_of_turn_state = EndOfTurnState.INCOMPLETE
                 audio_passthrough = self._params.vad_audio_passthrough
 
-            if self._params.end_of_turn_analyzer:
+            # We only need to check for completion if the user is speaking
+            if self._params.end_of_turn_analyzer and VADState.QUIET != vad_state:
                 end_of_turn_state = await self._handle_end_of_turn(frame, end_of_turn_state)
 
             # Push audio downstream if passthrough.