examples: fix examples to use LLMFullResponseEndFrame

examples/foundational/11-sound-effects.py

@@ -13,7 +13,7 @@ import wave
 from pipecat.frames.frames import (
     Frame,
     AudioRawFrame,
-    LLMResponseEndFrame,
+    LLMFullResponseEndFrame,
     LLMMessagesFrame,
 )
 from pipecat.pipeline.pipeline import Pipeline
@@ -59,7 +59,7 @@ for file in sound_files:
 class OutboundSoundEffectWrapper(FrameProcessor):
 
     async def process_frame(self, frame: Frame, direction: FrameDirection):
-        if isinstance(frame, LLMResponseEndFrame):
+        if isinstance(frame, LLMFullResponseEndFrame):
             await self.push_frame(sounds["ding1.wav"])
             # In case anything else downstream needs it
             await self.push_frame(frame, direction)

examples/moondream-chatbot/bot.py

@@ -66,7 +66,7 @@ talking_frame = SpriteFrame(images=sprites)
 class TalkingAnimation(FrameProcessor):
     """
     This class starts a talking animation when it receives an first AudioFrame,
-    and then returns to a "quiet" sprite when it sees a LLMResponseEndFrame.
+    and then returns to a "quiet" sprite when it sees a TTSStoppedFrame.
     """
 
     def __init__(self):

examples/simple-chatbot/bot.py

@@ -56,7 +56,7 @@ talking_frame = SpriteFrame(images=sprites)
 class TalkingAnimation(FrameProcessor):
     """
     This class starts a talking animation when it receives an first AudioFrame,
-    and then returns to a "quiet" sprite when it sees a LLMResponseEndFrame.
+    and then returns to a "quiet" sprite when it sees a TTSStoppedFrame.
     """
 
     def __init__(self):

examples/storytelling-chatbot/src/processors.py

@@ -2,7 +2,11 @@ import re
 
 from async_timeout import timeout
 
-from pipecat.frames.frames import Frame, LLMResponseEndFrame, TextFrame, UserStoppedSpeakingFrame
+from pipecat.frames.frames import (
+    Frame,
+    LLMFullResponseEndFrame,
+    TextFrame,
+    UserStoppedSpeakingFrame)
 from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
 from pipecat.transports.services.daily import DailyTransportMessageFrame
 
@@ -128,9 +132,9 @@ class StoryProcessor(FrameProcessor):
                 # Clear the buffer
                 self._text = ""
 
-        # End of LLM response
+        # End of a full LLM response
         # Driven by the prompt, the LLM should have asked the user for input
-        elif isinstance(frame, LLMResponseEndFrame):
+        elif isinstance(frame, LLMFullResponseEndFrame):
             # We use a different frame type, as to avoid image generation ingest
             await self.push_frame(StoryPromptFrame(self._text))
             self._text = ""