examples's People
Forkers
tomchapin astronomicaly tluyben ptrkdy whatif-dev bardia323 ben-ic utopic-dev yelban xc0r samuelandert jeffscottward n4cr im-ling douglasmendes barrysong97 sunnyxorange mtk54101 ericismyeldestson eddieoz beimingmaster winnerineast akushonkamen kaina404 kenplusplus henry0249 shuyunqi trs666666 kuntal-c gazellecheetah eyeshot zhaoliang1983x tobeornottoer fdsalbj russpalms lijian8 donparapidos duyongan oiunt cent-usa2025 gitzfp qoo8888 codeaudit fangyuan-ksgk erickkill hongdangshao tatakof vr000m zhoudaifa007 haodaohong lyhiving citypages facundo-zalazar soobikexamples's Issues
voice-agent vllm Connection refused
Send Result: {'run_id': '71d6c236-fe7a-961f-9548-120375ac8377', 'result': {'error': "HTTPConnectionPool(host='127.0.0.1', port=5000): Max retries exceeded with url: /v1/models (Caused by NewConnectionError('<urllib3.connection.HTTPConnection object at 0x7fc7730c5490>: Failed to establish a new connection: [Errno 111] Connection refused'))"}, 'run_time_ms': 7026.292324066162}
VADGate in 18-realtime-voice-agent
18-realtime-voice-agent
Hi everyone!
Can someone explain how GreedyLLMAggregator
and VADGate
are used in 18-realtime-voice-agent? I noticed there’s no inference happening in main.py
Thanks a lot for your help!
Missing link in the tutorials
In the tutorial Running LLaMA 3 8B with TensorRT-LLM on Serverless GPUs, you mentioned a GitHub link for the trt-llm source code, but it seems to no longer exist:
https://github.com/CerebriumAI/examples/tree/master/15-tensor-trt
My primary issue is the claim of reaching ~4500 output tokens per second on a single Nvidia A100. I'm only getting around 200 tokens/second. Am I missing something, or did you apply any optimization techniques to achieve the higher rate?
VoiceCall integrations
Is there any way to connect this to a phone call (via twilio perhaps) instead of using webRTC? Thanks!
voice-agent runtime error
After sucessfully building the project, I'm getting an error when running it:
Live Replica View log:
Jun 29 08:22:29 PM
2024-06-29 13:22:29.791 | DEBUG | pipecat.services.deepgram:run_tts:65 - Generating TTS: [Hello, I'm FastBot, how can I help you today?]
Jun 29 08:22:29 PM
2024-06-29 13:22:29.794 | ERROR | pipecat.services.deepgram:run_tts:94 - Voice exception: Cannot connect to host 127.0.0.1:8082 ssl:default [Connection refused]
Run log
Jun 29 08:30:53 PM
WebSocketException in AsyncLiveClient.start: [Errno 111] Connection refused
I believe both errors are connected because on the code it adresses:
main.py
stt = DeepgramSTTService(
name="STT",
api_key=None,
url='ws://127.0.0.1:8082/v1/listen'
)
tts = ClearableDeepgramTTSService(
name="Voice",
aiohttp_session=session,
api_key=None,
voice=deepgram_voice,
base_url="http://127.0.0.1:8082/v1/speak"
)
How can I check if the deepgram server is running ok locally, or debugging it?
voice-agent deploy error
run cerebrium deploy
then result
TypeError: init() got an unexpected keyword argument 'docker_base_image_url'
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.