| Benchmark | main | csv-sniffer-counter-set |
|---|---|---|
| csv_sniff(narrow.csv, 1024) | 87.5 us | 31.6 us: 2.77x faster |
| csv_sniff(narrow.csv, 2048) | 132 us | 52.9 us: 2.49x faster |
| csv_sniff(narrow.csv, 4096) | 220 us | 96.2 us: 2.29x faster |
| csv_sniff(ministers-overseas-travel-jan-mar-2013.csv, 1024) | 346 us | 286 us: 1.21x faster |
| csv_sniff(ministers-overseas-travel-jan-mar-2013.csv, 2048) | 362 us | 293 us: 1.23x faster |
|
| #!/usr/bin/env python3 | |
| """ | |
| Human quality transcripts from audio files using | |
| AssemblyAI for transcription and Google's Gemini for enhancement. | |
| Requirements: | |
| - AssemblyAI API key (https://www.assemblyai.com/) | |
| - Google API key (https://aistudio.google.com/) | |
| - Python packages: assemblyai, google-generativeai, pydub |
| ruby '2.7.1' | |
| gem 'rails', github: 'rails/rails' | |
| gem 'tzinfo-data', '>= 1.2016.7' # Don't rely on OSX/Linux timezone data | |
| # Action Text | |
| gem 'actiontext', github: 'basecamp/actiontext', ref: 'okra' | |
| gem 'okra', github: 'basecamp/okra' | |
| # Drivers |
