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import asyncio
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import logging
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import os
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from dotenv import load_dotenv
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from google import genai
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from google.genai import types as genai_types
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from livekit import agents, rtc
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from livekit.agents import AgentServer, AgentSession, Agent, RunContext, function_tool, room_io
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from livekit.plugins import google
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load_dotenv(".env.local")
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logger = logging.getLogger(__name__)
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# ─────────────────────────────────────────────
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# HACK HERE: swap model IDs to experiment
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# ─────────────────────────────────────────────
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REALTIME_MODEL = "gemini-2.5-flash-native-audio-preview-12-2025"
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IMAGE_MODEL = "gemini-2.5-flash-image" # Nano Banana
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LYRIA_MODEL = "models/lyria-realtime-exp"
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# ─────────────────────────────────────────────
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# HACK HERE: change the agent's persona
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# ─────────────────────────────────────────────
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PERSONA_INSTRUCTIONS = """You are a creative multimodal AI assistant at a Google DeepMind x YC hackathon.
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You can see through the user's camera, hear them speak, generate images, and play real-time music.
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Your capabilities:
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- generate_image: Create images with Nano Banana (Gemini 2.5 Flash Image). Use this when asked to generate, create, render, or visualize anything.
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- start_music: Play real-time generative music with Lyria RealTime. Use this for soundtracks, ambience, or any audio atmosphere.
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- stop_music: Stop the current music.
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IMPORTANT: When the user asks you to generate an image, ALWAYS say a brief acknowledgment first (like "On it!" or "Let me create that for you") before calling generate_image. The image takes a few seconds to generate, so the user needs to know you heard them.
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Be concise and creative. Lean into the multimodal possibilities — when a user describes something, offer to generate it."""
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class HackathonAgent(Agent):
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BASE_VIDEO_AWARENESS = """You can only see video when the user enables their camera or screenshare.
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When asked about visuals:
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- Only describe what you can actually see in provided video frames.
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- Never invent visual details that are not present.
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- If no camera is active, tell the user to enable it."""
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def __init__(self, room: rtc.Room) -> None:
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full_instructions = f"{self.BASE_VIDEO_AWARENESS}\n\n{PERSONA_INSTRUCTIONS}"
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super().__init__(instructions=full_instructions)
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self._room = room
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self._music_task: asyncio.Task | None = None
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self._music_stop_event = asyncio.Event()
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self._music_track_pub = None
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# Standard client for image generation (NanoBanana 2)
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self._image_client = genai.Client(api_key=os.environ["GOOGLE_API_KEY"])
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# v1alpha client required for Lyria RealTime
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self._lyria_client = genai.Client(
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api_key=os.environ["GOOGLE_API_KEY"],
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http_options={"api_version": "v1alpha"},
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)
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# ─────────────────────────────────────────
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# HACK HERE: customize the image generation prompt or post-processing
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# ─────────────────────────────────────────
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@function_tool()
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async def generate_image(
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self,
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context: RunContext,
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prompt: str,
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) -> str:
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"""Generate an image using NanoBanana 2 and display it on the user's screen.
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Call this whenever the user asks you to create, generate, render, or visualize something.
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Args:
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prompt: A detailed description of the image to generate. Be specific about style,
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composition, lighting, and content.
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"""
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logger.info("Generating image: %s", prompt)
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try:
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response = await asyncio.to_thread(
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self._image_client.models.generate_content,
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model=IMAGE_MODEL,
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contents=prompt,
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config=genai_types.GenerateContentConfig(
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response_modalities=["Text", "Image"]
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),
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)
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image_bytes = None
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mime_type = "image/png"
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for part in response.candidates[0].content.parts:
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if part.inline_data is not None:
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image_bytes = part.inline_data.data
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mime_type = part.inline_data.mime_type or "image/png"
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break
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if image_bytes is None:
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return "Image generation did not return any image data."
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writer = await self._room.local_participant.stream_bytes(
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name="generated-image",
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mime_type=mime_type,
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total_size=len(image_bytes),
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topic="generated-image",
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attributes={"prompt": prompt},
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)
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await writer.write(image_bytes)
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await writer.aclose()
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return f"Image generated and sent to the screen. Prompt used: {prompt}"
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except Exception as exc:
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logger.error("Image generation failed: %s", exc)
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return f"Image generation failed: {exc}"
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# ─────────────────────────────────────────
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# HACK HERE: customize Lyria prompts or add BPM/density controls
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# ─────────────────────────────────────────
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@function_tool()
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async def start_music(
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self,
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context: RunContext,
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prompt: str,
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bpm: int = 120,
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) -> str:
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"""Start streaming real-time generative music using Lyria RealTime.
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Music plays continuously until stop_music is called. Use this for soundtracks,
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atmospheric audio, or any mood-setting music.
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Args:
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prompt: Description of the music to generate, e.g. "upbeat electronic", "calm ambient piano",
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"epic orchestral score", "jazzy lounge". Can combine styles: "lo-fi hip-hop with strings".
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bpm: Beats per minute (default: 120). Lower values (60-90) feel slower and more ambient;
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higher values (120-160) feel energetic.
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"""
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await self._stop_music_internal()
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logger.info("Starting Lyria music: %s @ %d BPM", prompt, bpm)
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self._music_stop_event.clear()
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self._music_task = asyncio.create_task(self._stream_lyria(prompt, bpm))
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return f"Music started: {prompt} at {bpm} BPM. Call stop_music to stop it."
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@function_tool()
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async def stop_music(self, context: RunContext) -> str:
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"""Stop the currently playing Lyria music."""
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if self._music_task is None or self._music_task.done():
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return "No music is currently playing."
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await self._stop_music_internal()
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return "Music stopped."
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async def _stop_music_internal(self) -> None:
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if self._music_task and not self._music_task.done():
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self._music_stop_event.set()
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self._music_task.cancel()
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try:
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await self._music_task
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except (asyncio.CancelledError, Exception):
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pass
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self._music_task = None
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if self._music_track_pub is not None:
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try:
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await self._room.local_participant.unpublish_track(self._music_track_pub.sid)
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except Exception:
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pass
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self._music_track_pub = None
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async def _stream_lyria(self, prompt: str, bpm: int) -> None:
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"""Stream Lyria audio into the LiveKit room as a published audio track."""
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SAMPLE_RATE = 48000
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NUM_CHANNELS = 2
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audio_source = rtc.AudioSource(sample_rate=SAMPLE_RATE, num_channels=NUM_CHANNELS)
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track = rtc.LocalAudioTrack.create_audio_track("lyria-music", audio_source)
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options = rtc.TrackPublishOptions(source=rtc.TrackSource.SOURCE_UNKNOWN)
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pub = await self._room.local_participant.publish_track(track, options)
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self._music_track_pub = pub
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try:
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async with self._lyria_client.aio.live.music.connect(model=LYRIA_MODEL) as session:
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await session.set_weighted_prompts(
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prompts=[genai_types.WeightedPrompt(text=prompt, weight=1.0)]
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)
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await session.set_music_generation_config(
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config=genai_types.LiveMusicGenerationConfig(bpm=bpm)
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)
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await session.play()
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async for message in session.receive():
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if self._music_stop_event.is_set():
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break
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chunks = message.server_content.audio_chunks
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if chunks:
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audio_bytes = chunks[0].data
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if audio_bytes:
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# 16-bit stereo = 4 bytes per sample pair
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samples_per_channel = len(audio_bytes) // (NUM_CHANNELS * 2)
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frame = rtc.AudioFrame(
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data=audio_bytes,
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sample_rate=SAMPLE_RATE,
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num_channels=NUM_CHANNELS,
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samples_per_channel=samples_per_channel,
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)
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await audio_source.capture_frame(frame)
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except asyncio.CancelledError:
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pass
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except Exception as exc:
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logger.error("Lyria streaming error: %s", exc)
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finally:
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if self._music_track_pub is not None:
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try:
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await self._room.local_participant.unpublish_track(
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self._music_track_pub.sid
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)
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except Exception:
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pass
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self._music_track_pub = None
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server = AgentServer()
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@server.rtc_session(agent_name="gemini-hackathon-agent")
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async def entrypoint(ctx: agents.JobContext):
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has_video = False
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def on_track_subscribed(
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track: rtc.Track,
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publication: rtc.TrackPublication,
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participant: rtc.RemoteParticipant,
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):
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nonlocal has_video
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if track.kind == rtc.TrackKind.KIND_VIDEO:
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has_video = True
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logger.info("Video track subscribed from %s", participant.identity)
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def on_track_unsubscribed(
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track: rtc.Track,
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publication: rtc.TrackPublication,
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participant: rtc.RemoteParticipant,
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):
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nonlocal has_video
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if track.kind == rtc.TrackKind.KIND_VIDEO:
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has_video = any(
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pub.track and pub.track.kind == rtc.TrackKind.KIND_VIDEO
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for p in ctx.room.remote_participants.values()
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for pub in p.track_publications.values()
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if pub.subscribed
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)
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ctx.room.on("track_subscribed", on_track_subscribed)
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ctx.room.on("track_unsubscribed", on_track_unsubscribed)
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for participant in ctx.room.remote_participants.values():
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for publication in participant.track_publications.values():
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if (
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publication.subscribed
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and publication.track
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and publication.track.kind == rtc.TrackKind.KIND_VIDEO
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):
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has_video = True
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break
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session = AgentSession(
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llm=google.realtime.RealtimeModel(
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model=REALTIME_MODEL,
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voice="Aoede",
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),
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)
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await session.start(
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room=ctx.room,
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agent=HackathonAgent(room=ctx.room),
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)
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await ctx.connect()
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try:
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await session.generate_reply(
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instructions="Greet the user. Let them know you can generate images with Nano Banana and play real-time music with Lyria. Mention they can enable their camera for visual context."
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)
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except Exception as exc:
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logger.warning("Initial greeting failed: %s", exc)
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if __name__ == "__main__":
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agents.cli.run_app(server)
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Yahya Alhinai