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Commit b45b253

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feat: initial import
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‎.github/workflows/release.yml‎

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name: Publish Python 🐍 distribution 📦 to PyPI
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on: push
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jobs:
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build:
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name: Build distribution 📦
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v4
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with:
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persist-credentials: false
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fetch-depth: 0
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- name: Install uv
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uses: astral-sh/setup-uv@v5
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with:
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enable-cache: true
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cache-dependency-glob: uv.lock
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- name: Set up Python
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uses: actions/setup-python@v5
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with:
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python-version-file: ".python-version"
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- name: Build
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run: uv build
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- name: Store the distribution packages
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uses: actions/upload-artifact@v4
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with:
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name: python-package-distributions
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path: dist/
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publish-to-pypi:
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name: >-
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Publish Python 🐍 distribution 📦 to PyPI
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if: startsWith(github.ref, 'refs/tags/') # only publish to PyPI on tag pushes
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needs:
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- build
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runs-on: ubuntu-latest
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environment:
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name: pypi
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permissions:
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id-token: write
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steps:
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- name: Download all the dists
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uses: actions/download-artifact@v4
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with:
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name: python-package-distributions
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path: dist/
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- name: Install uv
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uses: astral-sh/setup-uv@v5
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with:
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enable-cache: true
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cache-dependency-glob: uv.lock
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- name: Publish distribution 📦 to PyPI
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run: uv publish --trusted-publishing always --publish-url https://upload.pypi.org/legacy/
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github-release:
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name: >-
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Sign the Python 🐍 distribution 📦 with Sigstore
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and upload them to GitHub Release
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needs:
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- publish-to-pypi
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runs-on: ubuntu-latest
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permissions:
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contents: write # IMPORTANT: mandatory for making GitHub Releases
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id-token: write # IMPORTANT: mandatory for sigstore
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steps:
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- name: Download all the dists
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uses: actions/download-artifact@v4
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with:
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name: python-package-distributions
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path: dist/
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- name: Sign the dists with Sigstore
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uses: sigstore/gh-action-sigstore-python@v3.0.0
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with:
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inputs: >-
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./dist/*.tar.gz
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./dist/*.whl
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- name: Create GitHub Release
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env:
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GITHUB_TOKEN: ${{ github.token }}
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run: >-
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gh release create
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"$GITHUB_REF_NAME"
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--repo "$GITHUB_REPOSITORY"
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--notes ""
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- name: Upload artifact signatures to GitHub Release
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env:
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GITHUB_TOKEN: ${{ github.token }}
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# Upload to GitHub Release using the `gh` CLI.
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# `dist/` contains the built packages, and the
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# sigstore-produced signatures and certificates.
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run: >-
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gh release upload
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"$GITHUB_REF_NAME" dist/**
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--repo "$GITHUB_REPOSITORY"

‎.gitignore‎

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# Python-generated files
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__pycache__/
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*.py[oc]
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build/
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dist/
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wheels/
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*.egg-info
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# Virtual environments
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.venv

‎.python-version‎

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3.10

‎CHANGELOG.md‎

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# CHANGELOG
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## Version 0.1.0a0 (2025年03月05日)
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- *Hello world!*

‎README.md‎

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<p align="center">
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<a href="https://pyannote.ai/" target="blank"><img src="https://avatars.githubusercontent.com/u/162698670" width="64" /></a>
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</p>
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<div align="center">
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<h1>Official Python `pyannoteAI` SDK </h1>
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</div>
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## Installation
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```bash
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$ pip install pyannoteAI
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```
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Then head over to [`dashboard.pyannote.ai`](https://dashboard.pyannote.ai) and create an API key.
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## Speaker diarization
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```python
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# instantiate client
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from pyannoteai import Client
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client = Client("your-api-key")
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# upload conversation file
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media_url = client.upload('/path/to/conversation.wav')
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# submit a diarization job
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job_id = client.diarize(media_url)
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# retrieve diarization
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diarization = client.retrieve(job_id)
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# diarization['output']['diarization'] contains diarization output
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```
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Use `help(client.diarize)` to learn about options.
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## Speaker identification
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```python
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# create a voiceprint from a sample of Lex's voice
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lex_url = client.upload('/path/to/lex.wav')
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job_id = client.voiceprint(lex_url)
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lex = client.retrieve(job_id)
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# lex['output']['voiceprint'] contains Lex's voiceprint
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# create a voiceprint from a sample of Mark's voice
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mark_url = client.upload('/path/to/mark.wav')
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job_id = client.voiceprint(mark_url)
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mark = client.retrieve(job_id)
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# mark['output']['voiceprint'] contains Mark's voiceprint
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# use those voiceprints to track Lex and Mark in the conversation
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voiceprints = {'lex': lex['output']['voiceprint'], 'mark': mark['output']['voiceprint']}
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job_id = client.identify('/path/to/conversation.wav', voiceprints)
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identification = client.retrieve(job_id)
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# identification['output']['identification'] contains identification output
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```
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Use `help(client.identify)` to learn about options.

‎pyproject.toml‎

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[project]
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name = "pyannoteAI"
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description = "Official pyannoteAI Python SDK"
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readme = "README.md"
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authors = [
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{ name = "Hervé BREDIN", email = "herve@pyannote.ai" }
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]
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requires-python = ">=3.10"
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dynamic = [
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"version",
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]
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dependencies = [
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"requests>=2.32.3",
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]
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[build-system]
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requires = ["hatchling", "hatch-vcs"]
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build-backend = "hatchling.build"
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[tool.hatch.version]
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source = "vcs"

‎src/pyannoteai/__init__.py‎

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from .client import Client
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__all__ = ['Client']

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