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mathieu/fi
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v0.7.3
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| aabf2c2572 | |||
| 6a7b08f016 | |||
| e2736563d9 | |||
| 0f54b7782d | |||
| 359280dd34 |
4
.gitignore
vendored
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.gitignore
vendored
@@ -14,4 +14,6 @@ data/
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www/REFACTOR.md
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www/reload-frontend
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server/test.sqlite
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CLAUDE.local.md
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CLAUDE.local.md
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www/.env.development
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www/.env.production
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.gitleaksignore
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.gitleaksignore
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b9d891d3424f371642cb032ecfd0e2564470a72c:server/tests/test_transcripts_recording_deletion.py:generic-api-key:15
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@@ -27,3 +27,8 @@ repos:
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files: ^server/
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- id: ruff-format
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files: ^server/
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- repo: https://github.com/gitleaks/gitleaks
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rev: v8.28.0
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hooks:
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- id: gitleaks
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@@ -1,5 +1,13 @@
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# Changelog
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## [0.7.3](https://github.com/Monadical-SAS/reflector/compare/v0.7.2...v0.7.3) (2025-08-22)
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### Bug Fixes
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* cleaned repo, and get git-leaks clean ([359280d](https://github.com/Monadical-SAS/reflector/commit/359280dd340433ba4402ed69034094884c825e67))
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* restore previous behavior on live pipeline + audio downscaler ([#561](https://github.com/Monadical-SAS/reflector/issues/561)) ([9265d20](https://github.com/Monadical-SAS/reflector/commit/9265d201b590d23c628c5f19251b70f473859043))
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## [0.7.2](https://github.com/Monadical-SAS/reflector/compare/v0.7.1...v0.7.2) (2025-08-21)
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43
README.md
43
README.md
@@ -1,43 +1,60 @@
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<div align="center">
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<img width="100" alt="image" src="https://github.com/user-attachments/assets/66fb367b-2c89-4516-9912-f47ac59c6a7f"/>
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# Reflector
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Reflector Audio Management and Analysis is a cutting-edge web application under development by Monadical. It utilizes AI to record meetings, providing a permanent record with transcripts, translations, and automated summaries.
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Reflector is an AI-powered audio transcription and meeting analysis platform that provides real-time transcription, speaker diarization, translation and summarization for audio content and live meetings. It works 100% with local models (whisper/parakeet, pyannote, seamless-m4t, and your local llm like phi-4).
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[](https://github.com/monadical-sas/reflector/actions/workflows/pytests.yml)
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[](https://github.com/monadical-sas/reflector/actions/workflows/test_server.yml)
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[](https://opensource.org/licenses/MIT)
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</div>
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## Screenshots
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</div>
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<table>
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<tr>
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<td>
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<a href="https://github.com/user-attachments/assets/3a976930-56c1-47ef-8c76-55d3864309e3">
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<img width="700" alt="image" src="https://github.com/user-attachments/assets/3a976930-56c1-47ef-8c76-55d3864309e3" />
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<a href="https://github.com/user-attachments/assets/21f5597c-2930-4899-a154-f7bd61a59e97">
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<img width="700" alt="image" src="https://github.com/user-attachments/assets/21f5597c-2930-4899-a154-f7bd61a59e97" />
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</a>
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</td>
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<td>
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<a href="https://github.com/user-attachments/assets/bfe3bde3-08af-4426-a9a1-11ad5cd63b33">
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<img width="700" alt="image" src="https://github.com/user-attachments/assets/bfe3bde3-08af-4426-a9a1-11ad5cd63b33" />
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<a href="https://github.com/user-attachments/assets/f6b9399a-5e51-4bae-b807-59128d0a940c">
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<img width="700" alt="image" src="https://github.com/user-attachments/assets/f6b9399a-5e51-4bae-b807-59128d0a940c" />
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</a>
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</td>
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<td>
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<a href="https://github.com/user-attachments/assets/7b60c9d0-efe4-474f-a27b-ea13bd0fabdc">
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<img width="700" alt="image" src="https://github.com/user-attachments/assets/7b60c9d0-efe4-474f-a27b-ea13bd0fabdc" />
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<a href="https://github.com/user-attachments/assets/a42ce460-c1fd-4489-a995-270516193897">
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<img width="700" alt="image" src="https://github.com/user-attachments/assets/a42ce460-c1fd-4489-a995-270516193897" />
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</a>
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</td>
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<td>
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<a href="https://github.com/user-attachments/assets/21929f6d-c309-42fe-9c11-f1299e50fbd4">
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<img width="700" alt="image" src="https://github.com/user-attachments/assets/21929f6d-c309-42fe-9c11-f1299e50fbd4" />
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</a>
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</td>
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</tr>
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</table>
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## What is Reflector?
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Reflector is a web application that utilizes AI to process audio content, providing:
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- **Real-time Transcription**: Convert speech to text using [Whisper](https://github.com/openai/whisper) (multi-language) or [Parakeet](https://huggingface.co/nvidia/parakeet-tdt-0.6b-v2) (English) models
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- **Speaker Diarization**: Identify and label different speakers using [Pyannote](https://github.com/pyannote/pyannote-audio) 3.1
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- **Live Translation**: Translate audio content in real-time to many languages with [Facebook Seamless-M4T](https://github.com/facebookresearch/seamless_communication)
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- **Topic Detection & Summarization**: Extract key topics and generate concise summaries using LLMs
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- **Meeting Recording**: Create permanent records of meetings with searchable transcripts
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Currently we provide [modal.com](https://modal.com/) gpu template to deploy.
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## Background
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The project architecture consists of three primary components:
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- **Front-End**: NextJS React project hosted on Vercel, located in `www/`.
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- **Back-End**: Python server that offers an API and data persistence, found in `server/`.
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- **GPU implementation**: Providing services such as speech-to-text transcription, topic generation, automated summaries, and translations. Most reliable option is Modal deployment
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- **Front-End**: NextJS React project hosted on Vercel, located in `www/`.
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- **GPU implementation**: Providing services such as speech-to-text transcription, topic generation, automated summaries, and translations.
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It also uses authentik for authentication if activated, and Vercel for deployment and configuration of the front-end.
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It also uses authentik for authentication if activated.
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## Contribution Guidelines
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