Gpt2-WebAPI - The objective of this API is to provide the 3 best possible responses to sentences that the user would input via http GET request as a parameter

Overview

This repository is a modification of: https://github.com/openai/gpt-2 for our specific purposes

Purpose

The objective of this API is to provide the 3 best possible responses to sentences that the user would input via http GET request as a parameter. This API that can help developers use GPT2 for their web application projects without the hassle of figuring out how GPT2 works.

This API was used in a dating app project, where given the sentences the users exchanged the API had to suggest following up questions to keep the flow of the conversation going.

How it works?

This web API manages inputs and outputs with HTTP GET requests. The developer should wrap the users sentence in an URL in the following way:

http://localhost:5000/?bio=[user sentence]

Example:

http://localhost:5000/?bio=i%20like%20to%20exercise

The output of this API is in JSON format under the "sentences" field as a list of strings of size 3. This is a response from the previous GET request.

How to run?

  1. First open the project in your favorite IDE
  2. Execute the python script where the flask API runs (app.py) using this command
flask run

You can use other parameters as --port to modify the default deployed port which is 5000

  1. Wait until the API is running and test URL with Postman or your favorite browser

Walkthrough

Authors: Paulina Acosta, Usman Tariq, Michael Duboc

Owner
Paulina
Paulina
HiFi DeepVariant + WhatsHap workflowHiFi DeepVariant + WhatsHap workflow

HiFi DeepVariant + WhatsHap workflow Workflow steps align HiFi reads to reference with pbmm2 call small variants with DeepVariant, using two-pass meth

William Rowell 2 May 14, 2022
An A-SOUL Text Generator Based on CPM-Distill.

ASOUL-Generator-Backend 本项目为 https://asoul.infedg.xyz/ 的后端。 模型为基于 CPM-Distill 的 transformers 转化版本 CPM-Generate-distill 训练而成。

infinityedge 46 Dec 11, 2022
Biterm Topic Model (BTM): modeling topics in short texts

Biterm Topic Model Bitermplus implements Biterm topic model for short texts introduced by Xiaohui Yan, Jiafeng Guo, Yanyan Lan, and Xueqi Cheng. Actua

Maksim Terpilowski 49 Dec 30, 2022
PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers

PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers

Microsoft 105 Jan 08, 2022
Unlimited Call - Text Bombing Tool

FastBomber Unlimited Call - Text Bombing Tool Installation On Termux

Aryan 6 Nov 10, 2022
Code for CodeT5: a new code-aware pre-trained encoder-decoder model.

CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation This is the official PyTorch implementation

Salesforce 564 Jan 08, 2023
Phrase-BERT: Improved Phrase Embeddings from BERT with an Application to Corpus Exploration

Phrase-BERT: Improved Phrase Embeddings from BERT with an Application to Corpus Exploration This is the official repository for the EMNLP 2021 long pa

70 Dec 11, 2022
Code voor mijn Master project omtrent VideoBERT

Code voor masterproef Deze repository bevat de code voor het project van mijn masterproef omtrent VideoBERT. De code in deze repository is gebaseerd o

35 Oct 18, 2021
Using context-free grammar formalism to parse English sentences to determine their structure to help computer to better understand the meaning of the sentence.

Sentance Parser Executing the Program Make sure Python 3.6+ is installed. Install requirements $ pip install requirements.txt Run the program:

Vaibhaw 12 Sep 28, 2022
Code and datasets for our paper "PTR: Prompt Tuning with Rules for Text Classification"

PTR Code and datasets for our paper "PTR: Prompt Tuning with Rules for Text Classification" If you use the code, please cite the following paper: @art

THUNLP 118 Dec 30, 2022
The model is designed to train a single and large neural network in order to predict correct translation by reading the given sentence.

Neural Machine Translation communication system The model is basically direct to convert one source language to another targeted language using encode

Nishant Banjade 7 Sep 22, 2022
Use the power of GPT3 to execute any function inside your programs just by giving some doctests

gptrun Don't feel like coding today? Use the power of GPT3 to execute any function inside your programs just by giving some doctests. How is this diff

Roberto Abdelkader Martínez Pérez 11 Nov 11, 2022
Applied Natural Language Processing in the Enterprise - An O'Reilly Media Publication

Applied Natural Language Processing in the Enterprise This is the companion repo for Applied Natural Language Processing in the Enterprise, an O'Reill

Applied Natural Language Processing in the Enterprise 95 Jan 05, 2023
KakaoBrain KoGPT (Korean Generative Pre-trained Transformer)

KoGPT KoGPT (Korean Generative Pre-trained Transformer) https://github.com/kakaobrain/kogpt https://huggingface.co/kakaobrain/kogpt Model Descriptions

Kakao Brain 797 Dec 26, 2022
Easy Language Model Pretraining leveraging Huggingface's Transformers and Datasets

Easy Language Model Pretraining leveraging Huggingface's Transformers and Datasets What is LASSL • How to Use What is LASSL LASSL은 LAnguage Semi-Super

LASSL: LAnguage Self-Supervised Learning 116 Dec 27, 2022
UniSpeech - Large Scale Self-Supervised Learning for Speech

UniSpeech The family of UniSpeech: WavLM (arXiv): WavLM: Large-Scale Self-Supervised Pre-training for Full Stack Speech Processing UniSpeech (ICML 202

Microsoft 281 Dec 15, 2022
Rank-One Model Editing for Locating and Editing Factual Knowledge in GPT

Rank-One Model Editing (ROME) This repository provides an implementation of Rank-One Model Editing (ROME) on auto-regressive transformers (GPU-only).

Kevin Meng 130 Dec 21, 2022
Generating new names based on trends in data using GPT2 (Transformer network)

MLOpsNameGenerator Overall Goal The goal of the project is to develop a model that is capable of creating Pokémon names based on its description, usin

Gustav Lang Moesmand 2 Jan 10, 2022