frames: StartInterruptionFrame is deprecated, use InterruptionFrame

examples/foundational/07c-interruptible-deepgram-vad.py

@@ -12,8 +12,8 @@ from dotenv import load_dotenv
 from loguru import logger
 
 from pipecat.frames.frames import (
+    InterruptionFrame,
     LLMRunFrame,
-    StartInterruptionFrame,
     UserStartedSpeakingFrame,
     UserStoppedSpeakingFrame,
 )
@@ -97,7 +97,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     @stt.event_handler("on_speech_started")
     async def on_speech_started(stt, *args, **kwargs):
-        await task.queue_frames([StartInterruptionFrame(), UserStartedSpeakingFrame()])
+        await task.queue_frames([InterruptionFrame(), UserStartedSpeakingFrame()])
 
     @stt.event_handler("on_utterance_end")
     async def on_utterance_end(stt, *args, **kwargs):

examples/foundational/07s-interruptible-google-audio-in.py

@@ -16,10 +16,10 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import (
     Frame,
     InputAudioRawFrame,
+    InterruptionFrame,
     LLMFullResponseEndFrame,
     LLMFullResponseStartFrame,
     LLMRunFrame,
-    StartInterruptionFrame,
     TextFrame,
     TranscriptionFrame,
     UserStartedSpeakingFrame,
@@ -181,9 +181,7 @@ class TranscriptionContextFixup(FrameProcessor):
 
         if isinstance(frame, MagicDemoTranscriptionFrame):
             self._transcript = frame.text
-        elif isinstance(frame, LLMFullResponseEndFrame) or isinstance(
-            frame, StartInterruptionFrame
-        ):
+        elif isinstance(frame, LLMFullResponseEndFrame) or isinstance(frame, InterruptionFrame):
             self.swap_user_audio()
             self.add_transcript_back_to_inference_output()
             self._transcript = ""

examples/foundational/22b-natural-conversation-proposal.py

@@ -18,9 +18,9 @@ from pipecat.frames.frames import (
     Frame,
     FunctionCallInProgressFrame,
     FunctionCallResultFrame,
+    InterruptionFrame,
     LLMRunFrame,
     StartFrame,
-    StartInterruptionFrame,
     SystemFrame,
     TextFrame,
     TranscriptionFrame,
@@ -144,7 +144,7 @@ class OutputGate(FrameProcessor):
                 await self._start()
             if isinstance(frame, (EndFrame, CancelFrame)):
                 await self._stop()
-            if isinstance(frame, StartInterruptionFrame):
+            if isinstance(frame, InterruptionFrame):
                 self._frames_buffer = []
                 self.close_gate()
             await self.push_frame(frame, direction)
@@ -232,7 +232,7 @@ class TurnDetectionLLM(Pipeline):
         async def pass_only_llm_trigger_frames(frame):
             return (
                 isinstance(frame, OpenAILLMContextFrame)
-                or isinstance(frame, StartInterruptionFrame)
+                or isinstance(frame, InterruptionFrame)
                 or isinstance(frame, FunctionCallInProgressFrame)
                 or isinstance(frame, FunctionCallResultFrame)
             )

examples/foundational/22c-natural-conversation-mixed-llms.py

@@ -18,9 +18,9 @@ from pipecat.frames.frames import (
     Frame,
     FunctionCallInProgressFrame,
     FunctionCallResultFrame,
+    InterruptionFrame,
     LLMRunFrame,
     StartFrame,
-    StartInterruptionFrame,
     SystemFrame,
     TextFrame,
     TranscriptionFrame,
@@ -347,7 +347,7 @@ class OutputGate(FrameProcessor):
                 await self._start()
             if isinstance(frame, (EndFrame, CancelFrame)):
                 await self._stop()
-            if isinstance(frame, StartInterruptionFrame):
+            if isinstance(frame, InterruptionFrame):
                 self._frames_buffer = []
                 self.close_gate()
             await self.push_frame(frame, direction)
@@ -426,7 +426,7 @@ class TurnDetectionLLM(Pipeline):
         async def pass_only_llm_trigger_frames(frame):
             return (
                 isinstance(frame, OpenAILLMContextFrame)
-                or isinstance(frame, StartInterruptionFrame)
+                or isinstance(frame, InterruptionFrame)
                 or isinstance(frame, FunctionCallInProgressFrame)
                 or isinstance(frame, FunctionCallResultFrame)
             )

examples/foundational/22d-natural-conversation-gemini-audio.py

@@ -20,10 +20,10 @@ from pipecat.frames.frames import (
     FunctionCallInProgressFrame,
     FunctionCallResultFrame,
     InputAudioRawFrame,
+    InterruptionFrame,
     LLMFullResponseStartFrame,
     LLMRunFrame,
     StartFrame,
-    StartInterruptionFrame,
     SystemFrame,
     TextFrame,
     TranscriptionFrame,
@@ -570,7 +570,7 @@ class OutputGate(FrameProcessor):
                 await self._start()
             if isinstance(frame, (EndFrame, CancelFrame)):
                 await self._stop()
-            if isinstance(frame, StartInterruptionFrame):
+            if isinstance(frame, InterruptionFrame):
                 self._frames_buffer = []
                 self.close_gate()
             await self.push_frame(frame, direction)

examples/foundational/30-observer.py

@@ -15,8 +15,8 @@ from pipecat.frames.frames import (
     BotStartedSpeakingFrame,
     BotStoppedSpeakingFrame,
     EndFrame,
+    InterruptionFrame,
     LLMRunFrame,
-    StartInterruptionFrame,
     TTSTextFrame,
     UserStartedSpeakingFrame,
 )
@@ -69,7 +69,7 @@ class CustomObserver(BaseObserver):
         # Create direction arrow
         arrow = "→" if direction == FrameDirection.DOWNSTREAM else "←"
 
-        if isinstance(frame, StartInterruptionFrame) and isinstance(src, BaseOutputTransport):
+        if isinstance(frame, InterruptionFrame) and isinstance(src, BaseOutputTransport):
             logger.info(f"⚡ INTERRUPTION START: {src} {arrow} {dst} at {time_sec:.2f}s")
         elif isinstance(frame, BotStartedSpeakingFrame):
             logger.info(f"🤖 BOT START SPEAKING: {src} {arrow} {dst} at {time_sec:.2f}s")