miya-speechless 0.0.17

Speechless repo for sales call analysis

miya-speechless

Poetry Installation Instructions

To install the dependencies and manage the project, we use Poetry. Follow the steps below to set up your environment with Poetry.

Step 1: Install Poetry

You can install Poetry by running the official installation script:

curl -sSL https://install.python-poetry.org | python3 -

Alternatively, you can install it via pip:

pip install poetry

Step 2: Verify Poetry Installation

After installing, verify that Poetry is available by running:

poetry --version

Step 3: Install Dependencies

Once Poetry is installed, you can install the project dependencies by running the following command in the project root:

poetry install

This will create a virtual environment and install all dependencies specified in the pyproject.toml file.

Step 4: Run the Project or Tests

You can now run the project or the tests using the Poetry environment:

To activate the Poetry environment:

poetry shell

To run the tests:

poetry run pytest

Step 4: Convert the model to onnx format

To convert the model to onnx format, run the following command:

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

Step 5: Run the streamlit app

Place the onnx model in the models directory.

To start the streamlit app, run the following command:

 poetry run streamlit run app/app.py

In the application, you can set the following parameters:

• overlap: Set the overlap between the transcript and the diaretization (default: 0.1)
• onset_threshold: Set the onset threshold for speaker start (default: 0.1)
• offset_threshold: Set the offset threshold for speaker stop (default: 0.1)