Update the README with uv-centric steps
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96
README.md
96
README.md
@@ -69,80 +69,86 @@ You can connect to Pipecat from any platform using our official SDKs:
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## ⚡ Getting started
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You can get started with Pipecat running on your local machine, then move your agent processes to the cloud when you’re ready.
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You can get started with Pipecat running on your local machine, then move your agent processes to the cloud when you're ready.
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```shell
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# Install the module
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pip install pipecat-ai
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1. Install uv
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# Set up your environment
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cp dot-env.template .env
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```
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```bash
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curl -LsSf https://astral.sh/uv/install.sh | sh
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```
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To keep things lightweight, only the core framework is included by default. If you need support for third-party AI services, you can add the necessary dependencies with:
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> **Need help?** Refer to the [uv install documentation](https://docs.astral.sh/uv/getting-started/installation/).
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```shell
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pip install "pipecat-ai[option,...]"
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```
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2. Install the module
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```bash
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# For new projects
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uv init my-pipecat-app
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cd my-pipecat-app
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uv add pipecat-ai
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# Or for existing projects
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uv add pipecat-ai
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```
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3. Set up your environment
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```bash
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cp env.example .env
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```
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4. To keep things lightweight, only the core framework is included by default. If you need support for third-party AI services, you can add the necessary dependencies with:
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```bash
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uv add "pipecat-ai[option,...]"
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```
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> **Using pip?** You can still use `pip install pipecat-ai` and `pip install "pipecat-ai[option,...]"` to get set up.
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## 🧪 Code examples
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- [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
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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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## 🛠️ Hacking on the framework itself
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## 🛠️ Contributing to the framework
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1. Set up a virtual environment before following these instructions. From the root of the repo:
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1. Clone the repository and navigate to it:
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```shell
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python3 -m venv venv
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source venv/bin/activate
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```bash
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git clone https://github.com/pipecat-ai/pipecat.git
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cd pipecat
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```
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2. Install the development dependencies:
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2. Install development dependencies:
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```shell
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pip install -r dev-requirements.txt
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```bash
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uv sync --group dev
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```
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3. Install the git pre-commit hooks (these help ensure your code follows project rules):
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3. Install the git pre-commit hooks:
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```shell
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pre-commit install
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```bash
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uv run pre-commit install
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```
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4. Install the `pipecat-ai` package locally in editable mode:
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4. Install all extras so you can run any example:
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```shell
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pip install -e .
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```
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> The `-e` or `--editable` option allows you to modify the code without reinstalling.
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5. Include optional dependencies as needed. For example:
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```shell
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pip install -e ".[daily,deepgram,cartesia,openai,silero]"
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```
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6. (Optional) If you want to use this package from another directory:
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```shell
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pip install "path_to_this_repo[option,...]"
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```bash
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uv sync --all-extras --no-extra krisp
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```
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### Running tests
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Install the test dependencies:
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To run all tests, from the root directory:
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```shell
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pip install -r test-requirements.txt
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```bash
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uv run pytest
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```
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From the root directory, run:
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Run a specific test suite:
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```shell
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pytest
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```bash
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uv run pytest tests/test_name.py
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```
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### Setting up your editor
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@@ -122,7 +122,6 @@ SONIOX_API_KEY=
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# Speechmatics
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SPEECHMATICS_API_KEY=...
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# SambaNova
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SAMBANOVA_API_KEY=...
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