updated README with sample code
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105
README.md
105
README.md
@@ -34,38 +34,52 @@ pip install "pipecat-ai[option,...]"
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Your project may or may not need these, so they're made available as optional requirements. Here is a list:
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- **AI services**: `anthropic`, `azure`, `fal`, `moondream`, `openai`, `playht`, `silero`, `whisper`
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- **Transports**: `daily`, `local`, `websocket`
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- **Transports**: `local`, `websocket`, `daily`,
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## Code examples
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There are two directories of examples:
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- [foundational](https://github.com/pipecat-ai/pipecat/tree/main/examples/foundational) — examples that build on each other, introducing one or two concepts at a time
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- [example apps](https://github.com/pipecat-ai/pipecat-examples) — complete applications that you can use as starting points for development
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Before running the examples you need to install the dependencies (which will install all the dependencies to run all of the examples):
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```
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pip install -r requirements.txt
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```
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## A simple voice agent running locally
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If you’re doing AI-related stuff, you probably have an OpenAI API key.
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To generate voice output, one service that’s easy to get started with is ElevenLabs. If you don’t already have an ElevenLabs developer account, you can sign up for one [here].
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So let’s run a really simple agent that’s just a GPT-4 prompt, wired up to voice input and speaker output.
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So let’s run a really simple agent that’s just a GPT-4 prompt, wired up to voice input and speaker output.
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You can change the prompt, in the code. The current prompt is “Tell me something interesting about the Roman Empire.”
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```python
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TBC
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```
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`cd examples/getting-started` to run the following examples …
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Run it with:
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```shell
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# Talk to a local pipecat process with your voice. Specify GPT-4 as the LLM.
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TBC
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```
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export OPENAI_API_KEY=...
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export ELEVENLABS_API_KEY=...
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python ./local-mic.py | ./pipecat-pipes-gpt-4.py | ./local-speaker.py
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## Example projects
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We've created a seperate repo [here](https://github.com/pipecat-ai/pipecat-examples) that have fully featured example projects to help you get started.
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```shell
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git@github.com:pipecat-ai/pipecat-examples.git
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```
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## WebSockets instead of pipes
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To run your agent in the cloud, you can switch the Pipecat transport layer to use a WebSocket instead of Unix pipes.
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```shell
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# Talk to a local pipecat process with your voice. Specify GPT-4 as the LLM.
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export OPENAI_API_KEY=...
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export ELEVENLABS_API_KEY=...
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python ./local-mic-and-speaker-wss.py wss://localhost:8088
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TBC
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```
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## WebRTC for production use
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@@ -76,67 +90,6 @@ One way to get up and running quickly with WebRTC is to sign up for a Daily deve
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Sign up [here](https://dashboard.daily.co/u/signup) and [create a room](https://docs.daily.co/reference/rest-api/rooms) in the developer Dashboard. Then run the examples, this time connecting via WebRTC instead of a WebSocket.
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```shell
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# 1. Run the pipecat process. Provide your Daily API key and a Daily room
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export DAILY_API_KEY=...
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export OPENAI_API_KEY=...
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export ELEVENLABS_API_KEY=...
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python pipecat-daily-gpt-4.py --daily-room https://example.daily.co/pipecat
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# 2. Visit the Daily room link in any web browser to talk to the pipecat process.
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# You'll want to use a Daily SDK to embed the client-side code into your own
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# app. But visiting the room URL in a browser is a quick way to start building
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# agents because you can focus on just the agent code at first.
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open -a "Google Chrome" https://example.daily.co/pipecat
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```
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## Deploy your agent to the cloud
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Now that you’ve decoupled client and server, and have a Pipecat process that can run anywhere you can run Python, you can deploy this example agent to the cloud.
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`TBC`
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## Taking it further
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### Add a telephone number
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Daily supports telephone connections in addition to WebRTC streams. You can add a telephone number to your Daily room with the following REST API call. Once you’ve done that, you can call your agent on the phone.
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You’ll need to add a credit card to your Daily account to enable telephone numbers.
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`TBC`
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### Add image output
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Daily supports telephone connections in addition to WebRTC streams. You can add a telephone number to your Daily room with the following REST API call. Once you’ve done that, you can call your agent on the phone.
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You’ll need to add a credit card to your Daily account to enable telephone numbers.
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`TBC`
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### Add video output
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`TBC`
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## Code examples
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There are two directories of examples:
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- [foundational](https://github.com/daily-co/pipecat/tree/main/examples/foundational) — examples that build on each other, introducing one or two concepts at a time
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- [starter apps](https://github.com/daily-co/pipecat/tree/main/examples/starter-apps) — complete applications that you can use as starting points for development
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Before running the examples you need to install the dependencies (which will install all the dependencies to run all of the examples):
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```
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pip install -r {env}-requirements.txt
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```
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To run the example below you need to sign up for a [free Daily account](https://dashboard.daily.co/u/signup) and create a Daily room (so you can hear the LLM talking). After that, join the room's URL directly from a browser tab and run:
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```
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python examples/foundational/02-llm-say-one-thing.py
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```
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## Hacking on the framework itself
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