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KCblama19/Liberia-Pidgin-transcription-app

Domain:

natural language processing

Record type:

software
Creator:
KCb
Host:
Django-based audio transcription app for Liberia pidgin using Whisper and Celery # Transcriber Project ## Overview Web app for uploading audio and generating structured transcripts with a review UI. It supports Liberian local pidgin. Note: Transcription to Liberian Pidgin is not perfect and may contain mistakes. User review is advised. The translation pipeline is intentionally designed to allow optional LLM-based semantic normalization in the future. This feature is currently disabled to avoid external dependencies and costs. This project started as an exploratory, fast-iteration build driven by experimentation and intuition. ## Requirements - Python 3.11+ - Redis (for Celery broker) - ffmpeg + ffprobe on PATH ## Setup 1. Create and activate a virtual environment. 2. Install dependencies: ```bash # For Linux environment pip install -r requirements.txt ``` ```bash # For Windows Environment pip install -r requirements_windows.txt ``` 3. Set environment variables: ```bash # Windows (PowerShell) $env:DJANGO_SECRET_KEY="replace-with-your-secret" ``` ```bash # Linux/macOS (bash/zsh) export DJANGO_SECRET_KEY="replace-with-your-secret" ``` ## Optional LLM Normalization (Disabled by Default) If you want to enable LLM-based normalization: 1. Set environment variables: ```bash LLM_API_URL="api.openai.com" LLM_API_KEY="your-api-key" LLM_MODEL="gpt-4o-mini" ``` 2. Update the UI to allow translation requests (the current UI shows a disabled message). This will allow the "Translate to Standard English" button to call the LLM for semantic normalization. ## Run Django ```bash python manage.py migrate python manage.py runserver ``` ## Run Celery ```bash celery -A transcriber_project worker --concurrency=3 --pool=prefork -l info ``` ## Quickstart ```bash python -m venv venv pip install -r requirements.txt python manage.py migrate python manage.py runserver ``` ## Project Structure ``` transcriber_project/ settings.py urls.py celery.py transcription/ exports/ services/ templates/ templatetags/ tasks.py views.py manage.py `` …

Visit

github.com

Tasks

automatic speech recognitionspeech processing

Licenses

MIT

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