Merge pull request #725 from pipecat-ai/mb/fix-simple-chatbot
Fix simple-chatbot example
This commit is contained in:
@@ -5,36 +5,33 @@
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#
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import asyncio
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import aiohttp
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import os
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import sys
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import aiohttp
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from dotenv import load_dotenv
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from loguru import logger
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from PIL import Image
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from runner import configure
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from pipecat.audio.vad.silero import SileroVADAnalyzer
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from pipecat.frames.frames import (
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BotStartedSpeakingFrame,
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BotStoppedSpeakingFrame,
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Frame,
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LLMMessagesFrame,
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OutputImageRawFrame,
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SpriteFrame,
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)
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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.frames.frames import (
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OutputImageRawFrame,
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SpriteFrame,
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Frame,
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LLMMessagesFrame,
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TTSAudioRawFrame,
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TTSStoppedFrame,
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)
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from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
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from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
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from pipecat.services.elevenlabs import ElevenLabsTTSService
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from pipecat.services.openai import OpenAILLMService
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from pipecat.transports.services.daily import DailyParams, DailyTransport
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from runner import configure
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from loguru import logger
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from dotenv import load_dotenv
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load_dotenv(override=True)
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logger.remove(0)
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@@ -73,15 +70,15 @@ class TalkingAnimation(FrameProcessor):
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async def process_frame(self, frame: Frame, direction: FrameDirection):
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await super().process_frame(frame, direction)
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if isinstance(frame, TTSAudioRawFrame):
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if isinstance(frame, BotStartedSpeakingFrame):
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if not self._is_talking:
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await self.push_frame(talking_frame)
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self._is_talking = True
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elif isinstance(frame, TTSStoppedFrame):
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elif isinstance(frame, BotStoppedSpeakingFrame):
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await self.push_frame(quiet_frame)
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self._is_talking = False
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await self.push_frame(frame)
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await self.push_frame(frame, direction)
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async def main():
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@@ -162,7 +159,7 @@ async def main():
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@transport.event_handler("on_first_participant_joined")
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async def on_first_participant_joined(transport, participant):
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transport.capture_participant_transcription(participant["id"])
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await transport.capture_participant_transcription(participant["id"])
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await task.queue_frames([LLMMessagesFrame(messages)])
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runner = PipelineRunner()
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