metadata

title: Text Auto Complete [Gpt Neo](https://huggingface.co/EleutherAI/gpt-neo-125M)
emoji: 💻
colorFrom: green
colorTo: green
sdk: streamlit
sdk_version: 1.10.0
app_file: app.py
pinned: false
license: openrail

Text Autocomplete using HuggingFace

Text Autocomplete, or text generation, is a task in which an application can fill in incomplete text or paraphrase.

Goal

In this project we are buidling text-autocomplete streamlit web-app powered by GPT-neo. GPT-Neo 125M is a transformer model designed using EleutherAI's replication of the GPT-3 architecture. GPT-Neo refers to the class of models, while 125M represents the number of parameters of this particular pre-trained model.

Deployed app

The app is deployed on Huggingface Spaces: Click here for live demo

Project Structure

Text Generator Project

├── app.py
└── requirements.txt

Project Requirements

Python3
git

Project Steps

Step 1: Cloning the repo

git clone https://github.com/DigitalProductschool/AI-Makerspace.git

Step 2: Changing working directory to HuggingFace/Spaces

cd AI-Makerspace/HuggingFace/Spaces

Step 3: Installing dependencies using pip3

pip3 install -r requirements.txt

Step 4: Running the streamlit web app

streamlit run app.py

Spaces:

SudhanshuBlaze
/

text-generation-gpt-neo

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