examples: updated to_be_updated examples

examples/foundational/11-sound-effects.py

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+import aiohttp
+import asyncio
+import logging
+import os
+import wave
+from dailyai.pipeline.pipeline import Pipeline
+
+from dailyai.transports.daily_transport import DailyTransport
+from dailyai.services.open_ai_services import OpenAILLMService
+from dailyai.services.elevenlabs_ai_service import ElevenLabsTTSService
+from dailyai.pipeline.aggregators import (
+    LLMUserContextAggregator,
+    LLMAssistantContextAggregator,
+)
+from dailyai.services.ai_services import AIService, FrameLogger
+from dailyai.pipeline.frames import (
+    Frame,
+    AudioFrame,
+    LLMResponseEndFrame,
+    LLMMessagesFrame,
+)
+from typing import AsyncGenerator
+
+from runner import configure
+
+from dotenv import load_dotenv
+load_dotenv(override=True)
+
+logging.basicConfig(format=f"%(levelno)s %(asctime)s %(message)s")
+logger = logging.getLogger("dailyai")
+logger.setLevel(logging.DEBUG)
+
+sounds = {}
+sound_files = ["ding1.wav", "ding2.wav"]
+
+script_dir = os.path.dirname(__file__)
+
+for file in sound_files:
+    # Build the full path to the image file
+    full_path = os.path.join(script_dir, "assets", file)
+    # Get the filename without the extension to use as the dictionary key
+    filename = os.path.splitext(os.path.basename(full_path))[0]
+    # Open the image and convert it to bytes
+    with wave.open(full_path) as audio_file:
+        sounds[file] = audio_file.readframes(-1)
+
+
+class OutboundSoundEffectWrapper(AIService):
+    def __init__(self):
+        pass
+
+    async def process_frame(self, frame: Frame) -> AsyncGenerator[Frame, None]:
+        if isinstance(frame, LLMResponseEndFrame):
+            yield AudioFrame(sounds["ding1.wav"])
+            # In case anything else up the stack needs it
+            yield frame
+        else:
+            yield frame
+
+
+class InboundSoundEffectWrapper(AIService):
+    def __init__(self):
+        pass
+
+    async def process_frame(self, frame: Frame) -> AsyncGenerator[Frame, None]:
+        if isinstance(frame, LLMMessagesFrame):
+            yield AudioFrame(sounds["ding2.wav"])
+            # In case anything else up the stack needs it
+            yield frame
+        else:
+            yield frame
+
+
+async def main(room_url: str, token):
+    async with aiohttp.ClientSession() as session:
+        transport = DailyTransport(
+            room_url,
+            token,
+            "Respond bot",
+            duration_minutes=5,
+            mic_enabled=True,
+            mic_sample_rate=16000,
+            camera_enabled=False,
+        )
+        transport.transcription_settings["extra"]["punctuate"] = True
+
+        llm = OpenAILLMService(
+            api_key=os.getenv("OPENAI_API_KEY"),
+            model="gpt-4-turbo-preview")
+
+        tts = ElevenLabsTTSService(
+            aiohttp_session=session,
+            api_key=os.getenv("ELEVENLABS_API_KEY"),
+            voice_id="ErXwobaYiN019PkySvjV",
+        )
+
+        messages = [
+            {
+                "role": "system",
+                "content": "You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be converted to audio. Respond to what the user said in a creative and helpful way.",
+            },
+        ]
+
+        tma_in = LLMUserContextAggregator(
+            messages, transport._my_participant_id)
+        tma_out = LLMAssistantContextAggregator(
+            messages, transport._my_participant_id
+        )
+        out_sound = OutboundSoundEffectWrapper()
+        in_sound = InboundSoundEffectWrapper()
+        fl = FrameLogger("LLM Out")
+        fl2 = FrameLogger("Transcription In")
+
+        pipeline = Pipeline([tma_in, in_sound, fl2, llm, tma_out, fl, tts, out_sound])
+
+        @transport.event_handler("on_first_other_participant_joined")
+        async def on_first_other_participant_joined(transport):
+            await transport.say("Hi, I'm listening!", tts)
+            await transport.send_queue.put(AudioFrame(sounds["ding1.wav"]))
+
+        await asyncio.gather(transport.run(pipeline))
+
+
+if __name__ == "__main__":
+    (url, token) = configure()
+    asyncio.run(main(url, token))