Kwindla Hultman Kramer kwindla
kwindla
/ gemini-talk-transcript.py
Created
May 6, 2025 15:43
Cleaned up talk transcript matched to onscreen slides
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| from google import genai | |
| import os | |
| client = genai.Client(api_key=os.getenv("GOOGLE_API_KEY")) | |
| # filename_for_upload = "/Users/khkramer/Downloads/maven-lightning-trimmed.mp4" | |
| # myfile = client.files.upload(file=filename_for_upload) | |
| # | |
| # print("My files:") |
kwindla
/ daily-transport-double-transcription.py
Created
April 28, 2025 01:36
Double transcription events test
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| # double transcription events | |
| # pip install 'pipecat-ai[daily,silero,openai,cartesia]'==0.0.59 dotenv | |
| # | |
| # transcription events as expected | |
| # pip install 'pipecat-ai[daily,silero,openai,cartesia]'==0.0.58 dotenv | |
| import asyncio | |
| import sys | |
| import os |
kwindla
/ gladia-tagalog-mixed.py
Created
April 26, 2025 02:16
DailyTransport, Gladia, Tagalog / English mixed
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| # | |
| # Copyright (c) 2024–2025, Daily | |
| # | |
| # SPDX-License-Identifier: BSD 2-Clause License | |
| # | |
| import argparse | |
| import asyncio | |
| import os |
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| # | |
| # Copyright (c) 2024–2025, Daily | |
| # | |
| # SPDX-License-Identifier: BSD 2-Clause License | |
| # | |
| import argparse | |
| import asyncio | |
| import os |
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| import asyncio | |
| from openai import AsyncOpenAI | |
| from openai.helpers import LocalAudioPlayer | |
| import wave | |
| import numpy as np | |
| openai = AsyncOpenAI() |
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| 2025-04-22 12:27:57.538 | INFO | 07-interruptible:run_bot:28 - Starting bot | |
| 2025-04-22 12:27:57.538 | DEBUG | pipecat.audio.vad.silero:__init__:111 - Loading Silero VAD model... | |
| 2025-04-22 12:27:57.564 | DEBUG | pipecat.audio.vad.silero:__init__:133 - Loaded Silero VAD | |
| 2025-04-22 12:27:57.583 | DEBUG | pipecat.processors.frame_processor:link:177 - Linking PipelineSource#0 -> SmallWebRTCInputTransport#0 | |
| 2025-04-22 12:27:57.583 | DEBUG | pipecat.processors.frame_processor:link:177 - Linking SmallWebRTCInputTransport#0 -> DeepgramSTTService#0 | |
| 2025-04-22 12:27:57.583 | DEBUG | pipecat.processors.frame_processor:link:177 - Linking DeepgramSTTService#0 -> OpenAIUserContextAggregator#0 | |
| 2025-04-22 12:27:57.583 | DEBUG | pipecat.processors.frame_processor:link:177 - Linking OpenAIUserContextAggregator#0 -> OpenAILLMService#0 | |
| 2025-04-22 12:27:57.583 | DEBUG | pipecat.processors.frame_processor:link:177 - Linking OpenAILLMService#0 -> CartesiaTTSService#0 | |
| 2025-04-22 12:27:57.583 | DEBUG | pip |
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| import asyncio | |
| import os | |
| import sys | |
| from dataclasses import dataclass | |
| import aiohttp | |
| from dotenv import load_dotenv | |
| from loguru import logger | |
| from pipecat.audio.vad.silero import SileroVADAnalyzer |
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| import asyncio | |
| import os | |
| import sys | |
| from dataclasses import dataclass | |
| import aiohttp | |
| import google.ai.generativelanguage as glm | |
| from dotenv import load_dotenv | |
| from loguru import logger | |
| from runner import configure |
kwindla
/ 19b-azure-realtime-beta.py
Created
March 1, 2025 23:15
Wrap Pipecat OpenAI Realtime API service to work with Azure WebSocket connection format
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| # | |
| # Copyright (c) 2024–2025, Daily | |
| # | |
| # SPDX-License-Identifier: BSD 2-Clause License | |
| # | |
| import asyncio | |
| import os | |
| import sys | |
| from datetime import datetime |
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| async def start_query_knowledge_base(function_name, llm, context): | |
| """Push a frame to the TTS service; this is handy when the LLM response might take a while.""" | |
| await llm.push_frame(TTSSpeakFrame("Please hold on while I look that order up for you.")) | |
| async def query_knowledge_base(function_name, tool_call_id, args, llm, context, result_callback): | |
| query_result = knowledge_base.get(args["query"]) | |
| await result_callback({ | |
| "info": json.dumps({ | |
| "lookup_success": True, | |
| "order_status": query_result["order_status"], |
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