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| title: Amanu | |
| emoji: 👁 | |
| colorFrom: yellow | |
| colorTo: purple | |
| sdk: gradio | |
| sdk_version: 3.44.4 | |
| app_file: app.py | |
| pinned: false | |
| # This repo's goal is to support the transcription and annotation of audios. | |
| ## Parts | |
| - `audio.py`: Everything related to audio preprocessing and analysis. | |
| - `transcription.py`: All code for transcript audios using fast-whisper. | |
| - `diarization.py`: Everything related to pyannotation. | |
| - `textformatting.py`: All related to fomatting the text in specific outputs. | |
| ## UI parts | |
| 1. Transcription. | |
| 2. Diarization. | |
| 3. Revision. | |
| 4. Output formatting. | |
| ## How to access to the service? | |
| The user will logging using a password and user specified by me. That user and password will be manually managed by me. | |
| ## Pricing | |
| 1. Calculate the fixed cost of a server running for a long period of time. | |
| 2. Check if I can use the hibernation period to save some money. | |
| ## Development | |
| - [x] Add word time-stamp | |
| - [x] Add Accuracy at word level | |
| - [ ] Add mel spectrogram? | |
| - [ ] Add Whisper parameters to the interface | |
| - [x] Add Whisper X | |
| - [x] Introduce SRT as output | |
| - [x] Obtain txt with Diarization. | |
| - [x] Obtain plain txt with segments. | |
| - [ ] Introduce POS. | |
| - [x] Optional Preprocessing | |
| - [ ] Transcripcion box as the text being written. | |
| Introduce Tab for analysis including POS. Maybe it would be great to have a visualizer with the timestamps and other features in Streamlit. Quizas correcciones. | |
| ## Dev | |
| I used huggingface lfs | |
| ``` | |
| git install lfs | |
| ``` | |
| ``` | |
| huggingface-cli lfs-enable-largefiles . | |
| ``` |