In this app, I'll be deploying NLP, Computer Vision, Speech Processing and Generative models in a single application on Streamlit.
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
- Part-Of-Speech Tagging with
- Computer Vision
- Object Detection with
Yolov3 - Face Detection with
Haar Cascade Classifier - Face Recognition with
facerecognition
- Object Detection with
- 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.
The application looks like this:
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 requirementsRrun the app:
streamlit run app.py