examples: pipelines readability and add LLM assistants after transport

examples/foundational/05a-local-sync-speech-and-image.py

@@ -98,9 +98,13 @@ async def process_frame(self, frame: Frame, direction: FrameDirection):
 
             image_grabber = ImageGrabber()
 
-            pipeline = Pipeline([llm, aggregator, description,
-                                 ParallelPipeline([tts, audio_grabber],
-                                                  [imagegen, image_grabber])])
+            pipeline = Pipeline([
+                llm,
+                aggregator,
+                description,
+                ParallelPipeline([tts, audio_grabber],
+                                 [imagegen, image_grabber])
+            ])
 
             task = PipelineTask(pipeline)
             await task.queue_frame(LLMMessagesFrame(messages))

examples/foundational/06-listen-and-respond.py

@@ -70,8 +70,16 @@ async def main(room_url: str, token):
         tma_in = LLMUserResponseAggregator(messages)
         tma_out = LLMAssistantResponseAggregator(messages)
 
-        pipeline = Pipeline([fl_in, transport.input(), tma_in, llm,
-                            fl_out, tts, tma_out, transport.output()])
+        pipeline = Pipeline([
+            fl_in,
+            transport.input(),
+            tma_in,
+            llm,
+            fl_out,
+            tts,
+            transport.output(),
+            tma_out
+        ])
 
         task = PipelineTask(pipeline)
 

examples/foundational/06a-image-sync.py

@@ -95,8 +95,15 @@ async def main(room_url: str, token):
             os.path.join(os.path.dirname(__file__), "assets", "waiting.png"),
         )
 
-        pipeline = Pipeline([transport.input(), image_sync_aggregator,
-                            tma_in, llm, tma_out, tts, transport.output()])
+        pipeline = Pipeline([
+            transport.input(),
+            image_sync_aggregator,
+            tma_in,
+            llm,
+            tts,
+            transport.output(),
+            tma_out
+        ])
 
         task = PipelineTask(pipeline)
 

examples/foundational/07-interruptible.py

@@ -65,7 +65,13 @@ async def main(room_url: str, token):
         tma_in = LLMUserResponseAggregator(messages)
         tma_out = LLMAssistantResponseAggregator(messages)
 
-        pipeline = Pipeline([transport.input(), tma_in, llm, tts, tma_out, transport.output()])
+        pipeline = Pipeline([
+            transport.input(),
+            tma_in,
+            llm,
+            tts,
+            transport.output(),
+            tma_out])
 
         task = PipelineTask(pipeline, allow_interruptions=True)
 

examples/foundational/10-wake-word.py

@@ -157,8 +157,16 @@ async def main(room_url: str, token):
         tma_out = LLMAssistantContextAggregator(messages)
         ncf = NameCheckFilter(["Santa Cat", "Santa"])
 
-        pipeline = Pipeline([transport.input(), isa, ncf, tma_in,
-                            llm, tma_out, tts, transport.output()])
+        pipeline = Pipeline([
+            transport.input(),
+            isa,
+            ncf,
+            tma_in,
+            llm,
+            tts,
+            transport.output(),
+            tma_out
+        ])
 
         @transport.event_handler("on_first_participant_joined")
         async def on_first_participant_joined(transport, participant):

examples/foundational/11-sound-effects.py

@@ -111,8 +111,18 @@ async def main(room_url: str, token):
         fl = FrameLogger("LLM Out")
         fl2 = FrameLogger("Transcription In")
 
-        pipeline = Pipeline([transport.input(), tma_in, in_sound, fl2, llm,
-                            tma_out, fl, tts, out_sound, transport.output()])
+        pipeline = Pipeline([
+            transport.input(),
+            tma_in,
+            in_sound,
+            fl2,
+            llm,
+            fl,
+            tts,
+            out_sound,
+            transport.output(),
+            tma_out
+        ])
 
         @transport.event_handler("on_first_participant_joined")
         async def on_first_participant_joined(transport, participant):

examples/foundational/12-describe-video.py

@@ -89,8 +89,15 @@ async def on_first_participant_joined(transport, participant):
             transport.capture_participant_transcription(participant["id"])
             image_requester.set_participant_id(participant["id"])
 
-        pipeline = Pipeline([transport.input(), user_response, image_requester,
-                             vision_aggregator, moondream, tts, transport.output()])
+        pipeline = Pipeline([
+            transport.input(),
+            user_response,
+            image_requester,
+            vision_aggregator,
+            moondream,
+            tts,
+            transport.output()
+        ])
 
         task = PipelineTask(pipeline)
 

examples/moondream-chatbot/bot.py

@@ -168,11 +168,17 @@ async def main(room_url: str, token):
 
         ura = LLMUserResponseAggregator(messages)
 
-        pipeline = Pipeline([transport.input(), ura, llm,
-                             ParallelPipeline(
-                                 [sa, ir, va, moondream],
-                                 [tf, imgf]),
-                             tts, ta, transport.output()])
+        pipeline = Pipeline([
+            transport.input(),
+            ura,
+            llm,
+            ParallelPipeline(
+                [sa, ir, va, moondream],
+                [tf, imgf]),
+            tts,
+            ta,
+            transport.output()
+        ])
 
         task = PipelineTask(pipeline)
         await task.queue_frame(quiet_frame)

examples/simple-chatbot/bot.py

@@ -138,8 +138,14 @@ async def main(room_url: str, token):
 
         ta = TalkingAnimation()
 
-        pipeline = Pipeline([transport.input(), user_response,
-                            llm, tts, ta, transport.output()])
+        pipeline = Pipeline([
+            transport.input(),
+            user_response,
+            llm,
+            tts,
+            ta,
+            transport.output()
+        ])
 
         task = PipelineTask(pipeline, allow_interruptions=True)
         await task.queue_frame(quiet_frame)

examples/storytelling-chatbot/src/bot.py

@@ -133,8 +133,8 @@ async def on_first_participant_joined(transport, participant):
             story_processor,
             image_processor,
             tts_service,
-            llm_responses,
-            transport.output()
+            transport.output(),
+            llm_responses
         ])
 
         main_task = PipelineTask(main_pipeline)

examples/translation-chatbot/bot.py

@@ -103,7 +103,16 @@ async def main(room_url: str, token):
         lfra = LLMFullResponseAggregator()
         ts = TranslationSubtitles("spanish")
 
-        pipeline = Pipeline([transport.input(), sa, tp, llm, lfra, ts, tts, transport.output()])
+        pipeline = Pipeline([
+            transport.input(),
+            sa,
+            tp,
+            llm,
+            lfra,
+            ts,
+            tts,
+            transport.output()
+        ])
 
         task = PipelineTask(pipeline)