wx44wx/pipecat
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Fix lint

Browse Source
This commit is contained in:
James Hush
2025-09-05 16:14:49 +08:00
parent c439d7981f
commit 604b710ee9
1 changed files with 4 additions and 4 deletions
Download Patch File Download Diff File Expand all files Collapse all files

8
examples/foundational/45-llm-hedge.py
View File

@@ -9,6 +9,7 @@ import os
from dotenv import load_dotenv from dotenv import load_dotenv
from loguru import logger from loguru import logger
from openai.types.chat import ChatCompletionMessageParam
from pipecat.audio.vad.silero import SileroVADAnalyzer from pipecat.audio.vad.silero import SileroVADAnalyzer
from pipecat.frames.frames import Frame, LLMMessagesFrame from pipecat.frames.frames import Frame, LLMMessagesFrame
@@ -132,18 +133,17 @@ class LLMRaceProcessor(FrameProcessor):
async def run_bot(transport: BaseTransport, runner_args: RunnerArguments): async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
logger.info(f"Starting bot with parallel LLM racing") logger.info(f"Starting bot with parallel LLM racing")
stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY")) stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY", ""))
tts = CartesiaTTSService( tts = CartesiaTTSService(
api_key=os.getenv("CARTESIA_API_KEY"), api_key=os.getenv("CARTESIA_API_KEY", ""),
voice_id="71a7ad14-091c-4e8e-a314-022ece01c121", # British Reading Lady voice_id="71a7ad14-091c-4e8e-a314-022ece01c121", # British Reading Lady
) )
# Create two LLM instances for racing # Create two LLM instances for racing
llm1 = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY")) llm1 = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"))
llm2 = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY")) llm2 = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"))
messages: list[ChatCompletionMessageParam] = [
messages = [
{ {
"role": "system", "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 so don't include special characters in your answers. Respond to what the user said in a creative and helpful way.", "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 so don't include special characters in your answers. Respond to what the user said in a creative and helpful way.",