examples: update google examples
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@@ -389,7 +389,7 @@ class AudioAccumulator(FrameProcessor):
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)
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self._user_speaking = False
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context = GoogleLLMContext()
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context.add_audio_frames_message(text="Audio follows", audio_frames=self._audio_frames)
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context.add_audio_frames_message(audio_frames=self._audio_frames)
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await self.push_frame(OpenAILLMContextFrame(context=context))
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elif isinstance(frame, InputAudioRawFrame):
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# Append the audio frame to our buffer. Treat the buffer as a ring buffer, dropping the oldest
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@@ -7,20 +7,15 @@ import argparse
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import asyncio
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import os
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import sys
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from dataclasses import dataclass
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from typing import Optional
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import google.ai.generativelanguage as glm
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from dotenv import load_dotenv
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from loguru import logger
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from pipecat.audio.vad.silero import SileroVADAnalyzer
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from pipecat.frames.frames import (
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BotStoppedSpeakingFrame,
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EndTaskFrame,
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Frame,
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InputAudioRawFrame,
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SystemFrame,
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TranscriptionFrame,
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UserStartedSpeakingFrame,
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UserStoppedSpeakingFrame,
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@@ -28,11 +23,11 @@ from pipecat.frames.frames import (
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from pipecat.pipeline.pipeline import Pipeline
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from pipecat.pipeline.runner import PipelineRunner
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from pipecat.pipeline.task import PipelineParams, PipelineTask
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from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContextFrame
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from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
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from pipecat.services.ai_services import LLMService
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from pipecat.services.elevenlabs import ElevenLabsTTSService
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from pipecat.services.google import GoogleLLMContext, GoogleLLMService
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from pipecat.services.google import GoogleLLMService
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from pipecat.services.google.google import GoogleLLMContext
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from pipecat.transports.services.daily import DailyDialinSettings, DailyParams, DailyTransport
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load_dotenv(override=True)
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@@ -240,7 +235,7 @@ If it sounds like a human (saying hello, asking questions, etc.), call the funct
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DO NOT say anything until you've determined if this is a voicemail or human."""
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llm = GoogleLLMService(
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model="models/gemini-2.0-flash-lite-preview-02-05",
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model="models/gemini-2.0-flash-lite",
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api_key=os.getenv("GOOGLE_API_KEY"),
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system_instruction=system_instruction,
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tools=tools,
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