o2-speechless 0.0.2

Speechless repo for sales call analysis

speechless

UV Installation Instructions

To install dependencies and manage the project, we use uv, a fast Python package manager and resolver. Follow the steps below to set up your environment.

Step 1: Install uv

You can install uv via pip:

pip install uv

Or with pipx:

pipx install uv

Verify the installation:

uv --version

Step 2: Create a Virtual Environment (Optional but Recommended)

You can let uv manage the environment for you:

uv venv
source .venv/bin/activate

If you're using your own virtual environment tool (like venv or virtualenv), just activate it before proceeding.

Step 3: Install Dependencies

uv installs packages directly from pyproject.toml. To install all main and development dependencies:

uv pip compile pyproject.toml --output-file uv.lock
uv pip install --requirements uv.lock

Step 4: Run the Project or Tests

To activate the environment:

source .venv/bin/activate

To run the tests:

pytest

Step 5: Run pre-commit

To run pre-commit hooks, use:

uv run pre-commit run --all-files

Step 6: Convert the model to ONNX format

To convert the model to ONNX format, run:

python export_to_onnx.py --checkpoint /path/to/checkpoint --onnx_model /path/to/onnx_model

Step 7: Add OPENAI_API_KEY and/or Set Up WHISPER_CPP_MODEL

The whisper_1 model requires an OpenAI subscription. As an alternative, you can use whisper.cpp.

To download a supported model:

# Linux
docker run -it --rm -v ./data/models:/models ghcr.io/ggerganov/whisper.cpp:main "./models/download-ggml-model.sh small /models"

# Windows (PowerShell)
docker run -it --rm -v "$(pwd -W)/models":/models ghcr.io/ggerganov/whisper.cpp:main "./models/download-ggml-model.sh small /models"

Once WHISPER_CPP_MODEL is set, inference is handled locally:

ffmpeg -i data/temp_results/uploaded_audio.mp3 -ar 16000 -ac 1 -c:a pcm_s16le data/audio/output.wav

Run whisper.cpp:

# Linux
docker run -it --rm -v ./data/models:/models -v ./data/audio:/audios ghcr.io/ggerganov/whisper.cpp:main "./build/bin/whisper-cli -m /models/ggml-small.bin -f /audios/output.wav -ml 16 -oj -l en"

# Windows
docker run -it --rm -v "$(pwd -W)/data/models":/models -v "$(pwd -W)/data":/audios ghcr.io/ggerganov/whisper.cpp:main "./build/bin/whisper-cli -m /models/ggml-small.bin -f /audios/output.wav -ml 16 -oj -l en"