sangha, pronounced "suhng-guh", is a social networking, booking platform where students and teachers can share their practice.

Related tags

Text Data & NLPsangha
Overview

Flask React Project

This is the backend for the Flask React project.

Getting started

  1. Clone this repository (only this branch)

    git clone https://github.com/appacademy-starters/python-project-starter.git
  2. Install dependencies

    pipenv install --dev -r dev-requirements.txt && pipenv install -r requirements.txt
  3. Create a .env file based on the example with proper settings for your development environment

  4. Setup your PostgreSQL user, password and database and make sure it matches your .env file

  5. Get into your pipenv, migrate your database, seed your database, and run your flask app

    pipenv shell
    flask db upgrade
    flask seed all
    flask run
  6. To run the React App in development, checkout the README inside the react-app directory.


IMPORTANT! If you add any python dependencies to your pipfiles, you'll need to regenerate your requirements.txt before deployment. You can do this by running:

pipenv lock -r > requirements.txt

ALSO IMPORTANT! psycopg2-binary MUST remain a dev dependency because you can't install it on apline-linux. There is a layer in the Dockerfile that will install psycopg2 (not binary) for us.


Deploy to Heroku

  1. Create a new project on Heroku

  2. Under Resources click "Find more add-ons" and add the add on called "Heroku Postgres"

  3. Install the Heroku CLI

  4. Run

    heroku login
  5. Login to the heroku container registry

    heroku container:login
  6. Update the REACT_APP_BASE_URL variable in the Dockerfile. This should be the full URL of your Heroku app: i.e. "https://flask-react-aa.herokuapp.com"

  7. Push your docker container to heroku from the root directory of your project. This will build the dockerfile and push the image to your heroku container registry

    heroku container:push web -a {NAME_OF_HEROKU_APP}
  8. Release your docker container to heroku

    heroku container:release web -a {NAME_OF_HEROKU_APP}
  9. set up your database:

    heroku run -a {NAME_OF_HEROKU_APP} flask db upgrade
    heroku run -a {NAME_OF_HEROKU_APP} flask seed all
  10. Under Settings find "Config Vars" and add any additional/secret .env variables.

  11. profit

Owner
Courtney Newcomer
| Full Stack Web Development | JS, Python, HTML, CSS |
Courtney Newcomer
A multi-lingual approach to AllenNLP CoReference Resolution along with a wrapper for spaCy.

Crosslingual Coreference Coreference is amazing but the data required for training a model is very scarce. In our case, the available training for non

Pandora Intelligence 71 Jan 04, 2023
SHAS: Approaching optimal Segmentation for End-to-End Speech Translation

SHAS: Approaching optimal Segmentation for End-to-End Speech Translation In this repo you can find the code of the Supervised Hybrid Audio Segmentatio

Machine Translation @ UPC 21 Dec 20, 2022
Extract Keywords from sentence or Replace keywords in sentences.

FlashText This module can be used to replace keywords in sentences or extract keywords from sentences. It is based on the FlashText algorithm. Install

Vikash Singh 5.3k Jan 01, 2023
Wind Speed Prediction using LSTMs in PyTorch

Implementation of Deep-Forecast using PyTorch Deep Forecast: Deep Learning-based Spatio-Temporal Forecasting Adapted from original implementation Setu

Onur Kaplan 151 Dec 14, 2022
This is a really simple text-to-speech app made with python and tkinter.

Tkinter Text-to-Speech App by Souvik Roy This is a really simple tkinter app which converts the text you have entered into a speech. It is created wit

Souvik Roy 1 Dec 21, 2021
Text classification on IMDB dataset using Keras and Bi-LSTM network

Text classification on IMDB dataset using Keras and Bi-LSTM Text classification on IMDB dataset using Keras and Bi-LSTM network. Usage python3 main.py

Hamza Rashid 2 Sep 27, 2022
American Sign Language (ASL) to Text Converter

Signterpreter American Sign Language (ASL) to Text Converter Recommendations Although there is grayscale and gaussian blur, we recommend that you use

0 Feb 20, 2022
customer care chatbot made with Rasa Open Source.

Customer Care Bot Customer care bot for ecomm company which can solve faq and chitchat with users, can contact directly to team. 🛠 Features Basic E-c

Dishant Gandhi 23 Oct 27, 2022
💫 Industrial-strength Natural Language Processing (NLP) in Python

spaCy: Industrial-strength NLP spaCy is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest researc

Explosion 24.9k Jan 02, 2023
Multilingual Emotion classification using BERT (fine-tuning). Published at the WASSA workshop (ACL2022).

XLM-EMO: Multilingual Emotion Prediction in Social Media Text Abstract Detecting emotion in text allows social and computational scientists to study h

MilaNLP 35 Sep 17, 2022
Predict an emoji that is associated with a text

Sentiment Analysis Sentiment analysis in computational linguistics is a general term for techniques that quantify sentiment or mood in a text. Can you

Tetsumichi(Telly) Umada 30 Sep 07, 2022
Basic yet complete Machine Learning pipeline for NLP tasks

Basic yet complete Machine Learning pipeline for NLP tasks This repository accompanies the article on building basic yet complete ML pipelines for sol

Ivan 20 Aug 22, 2022
Framework for fine-tuning pretrained transformers for Named-Entity Recognition (NER) tasks

NERDA Not only is NERDA a mesmerizing muppet-like character. NERDA is also a python package, that offers a slick easy-to-use interface for fine-tuning

Ekstra Bladet 141 Dec 30, 2022
MRC approach for Aspect-based Sentiment Analysis (ABSA)

B-MRC MRC approach for Aspect-based Sentiment Analysis (ABSA) Paper: Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extracti

Phuc Phan 1 Apr 05, 2022
Code for PED: DETR For (Crowd) Pedestrian Detection

Code for PED: DETR For (Crowd) Pedestrian Detection

36 Sep 13, 2022
An end to end ASR Transformer model training repo

END TO END ASR TRANSFORMER 本项目基于transformer 6*encoder+6*decoder的基本结构构造的端到端的语音识别系统 Model Instructions 1.数据准备: 自行下载数据,遵循文件结构如下: ├── data │ ├── train │

旷视天元 MegEngine 10 Jul 19, 2022
A demo for end-to-end English and Chinese text spotting using ABCNet.

ABCNet_Chinese A demo for end-to-end English and Chinese text spotting using ABCNet. This is an old model that was trained a long ago, which serves as

Yuliang Liu 45 Oct 04, 2022
☀️ Measuring the accuracy of BBC weather forecasts in Honolulu, USA

Accuracy of BBC Weather forecasts for Honolulu This repository records the forecasts made by BBC Weather for the city of Honolulu, USA. Essentially, t

Max Halford 12 Oct 15, 2022
JaQuAD: Japanese Question Answering Dataset

JaQuAD: Japanese Question Answering Dataset for Machine Reading Comprehension (2022, Skelter Labs)

SkelterLabs 84 Dec 27, 2022
This is the 25 + 1 year anniversary version of the 1995 Rachford-Rice contest

Rachford-Rice Contest This is the 25 + 1 year anniversary version of the 1995 Rachford-Rice contest. Can you solve the Rachford-Rice problem for all t

13 Sep 20, 2022