examples: update google examples

This commit is contained in:
Aleix Conchillo Flaqué
2025-02-25 22:28:02 -08:00
parent bb89a036e5
commit f83c89c202
2 changed files with 4 additions and 9 deletions

View File

@@ -389,7 +389,7 @@ class AudioAccumulator(FrameProcessor):
)
self._user_speaking = False
context = GoogleLLMContext()
context.add_audio_frames_message(text="Audio follows", audio_frames=self._audio_frames)
context.add_audio_frames_message(audio_frames=self._audio_frames)
await self.push_frame(OpenAILLMContextFrame(context=context))
elif isinstance(frame, InputAudioRawFrame):
# Append the audio frame to our buffer. Treat the buffer as a ring buffer, dropping the oldest

View File

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