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---
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](https://huggingface.co/spaces/SudhanshuBlaze/text-generation-gpt-neo)
### Project Structure
```bash
Text Generator Project
├── app.py
└── requirements.txt
```
### Project Requirements
- Python3
- git
### Project Steps
- `Step 1`: Cloning the repo
```bash
git clone https://github.com/DigitalProductschool/AI-Makerspace.git
```
- `Step 2`: Changing working directory to HuggingFace/Spaces
```bash
cd AI-Makerspace/HuggingFace/Spaces
```
- `Step 3`: Installing dependencies using pip3
```bash
pip3 install -r requirements.txt
```
- `Step 4`: Running the streamlit web app
```bash
streamlit run app.py
```
#### Now go to http://localhost:8501/ to test out this streamlit web-app
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