metadata

title: Eloquent
emoji: 👀
colorFrom: blue
colorTo: indigo
sdk: docker
pinned: false
startup_duration_timeout: 1h
license: cc0-1.0
app_port: 7860

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

Eloquent App: A private coach to speaking clearly

Introduction

Eloquent App is a gradio app written in python. The app has been tested offline on a laptop with specifications:

CPU: 11th Gen Intel(R) Core(TM) i7-1165G7 @ 2.80GHz
RAM: 16.0 GB
GPU: none
SSD: at least 25GB available space

The app uses automatic-speech-recognition and text-generation models through HuggingFace supported libraries. The AI models are about 6GB total. They will be downloaded and cached locally when the app is started for the first time. Therefore, network connection is required and it may take 10-15min for the app to start depending on the download speed.

How to run the app on local computer

Clone from the GitLab repository:

git clone https://gitlab.com/vgotcheva/eloquent-gitlab.git

Then go in the cloned folder cd eloquent and install python dependencies:

pip install --no-cache-dir --upgrade -r requirements.txt

Run the app.py with python:

python app.py

How to run the app in docker on local computer

You will need docker and docker compose installed and started on your local computer. Get Docker

Go in the cloned folder cd eloquent and run docker compose:

docker compose up -d

The above command will build the image when it is executed for the first time and then start a docker container with image.

Verify that the image is created and container running

docker image ls
docker ps

How to use the app:

Use the app by opening it in your browser: http://0.0.0.0:7860

Development Environment

For notes on setting a development environment read DEVELOPMENT.md