From 0d28e84c590b7d7fa45a377e3f017640aa7cb96c Mon Sep 17 00:00:00 2001 From: Jon Taylor Date: Mon, 13 May 2024 17:37:01 +0100 Subject: [PATCH] addressed nitpicks --- README.md | 8 +++----- 1 file changed, 3 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index 10414a84d..6e09c2c54 100644 --- a/README.md +++ b/README.md @@ -41,17 +41,15 @@ pip install "pipecat-ai[option,...]" Your project may or may not need these, so they're made available as optional requirements. Here is a list: - **AI services**: `anthropic`, `azure`, `fal`, `moondream`, `openai`, `playht`, `silero`, `whisper` -- **Transports**: `local`, `websocket`, `daily`, +- **Transports**: `local`, `websocket`, `daily` ## Code examples -There are two directories of examples: - - [foundational](https://github.com/pipecat-ai/pipecat/tree/main/examples/foundational) — small snippets that build on each other, introducing one or two concepts at a time - [example apps](https://github.com/pipecat-ai/pipecat/tree/main/examples/) — complete applications that you can use as starting points for development - ## A simple voice agent running locally + Here is a very basic Pipecat bot that greets a user when they join a real-time session. We'll use [Daily](https://daily.co) for real-time media transport, and [ElevenLabs](https://elevenlabs.io/) for text-to-speech. ```python @@ -82,7 +80,7 @@ async def main(): voice_id=..., ) - # Simple pipeline that will process tunr text to speech and output the result + # Simple pipeline that will process turn text to speech and output the result pipeline = Pipeline([tts, transport.output()]) # Create Pipecat processor that can run one or more pipelines tasks