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Deploying pre-trained NLP and computer vision models in a single application

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Data Science App

In this app, I'll be deploying NLP, Computer Vision, Speech Processing and Generative models in a single application on Streamlit.

What's inside?

The idea is to leverage pre-trained models as well as algorithm built on my side. It's a good opportunity for me to become more familiar with all pre-trained models available in the open-source community.

The algorithms covered are:

  • Natural Language Processing
    • Part-Of-Speech Tagging with SpaCy
    • Named Entity Recognition with SpaCy
    • Sentiment Classification with Flair
    • Question Answering with AllenNLP
  • Computer Vision
    • Object Detection with Yolov3
    • Face Detection with Haar Cascade Classifier
    • Face Recognition with facerecognition
  • Speech Processing
    • Voice Activity Detection
    • Speaker Identification
  • Generative Models
    • A GAN to generate digits
    • A GAN to generate faces
    • Text-to-images

I integrate and deploy everything using Streamlit and Render.com.

How to use it?

The application looks like this:

image

It is currently hosted by Render.com and each push leads to a new build of the app. I am using the standard plan (2Gb RAM). If you would like to contribute, feel free to submit a PR.

To run it locally, clone this project and run :

pip install -r requirements

Rrun the app:

streamlit run app.py

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Deploying pre-trained NLP and computer vision models in a single application

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