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license: mit
title: Fine-Tuned GPT2 For Azure DevOps Q&A
sdk: gradio
emoji: ⚡
colorFrom: red
colorTo: yellow
short_description: Bot trained on custom AZ DevOps dataset
sdk_version: 5.41.0
---
### NOTE:
The large fine-tuned GPT-2 model weights are hosted on Hugging Face:
https://huggingface.co/heramb04/GPT2-Azure-DevOps
No manual download needed. The model is automatically pulled when `app.py` runs.
If you want to download manually:
bash
wget https://huggingface.co/heramb04/GPT2-Azure-DevOps/resolve/main/model.safetensors
## About
This project deploys a fine-tuned GPT-2 model for Azure DevOps Q&A as a web API using huggingFace and gradio. The model is loaded locally and provides a Q&A interface.
## Features
- **Local Model Inference:** Uses a fine-tuned GPT-2 model loaded from local files.
- **Gradio Interface:** A simple web API for text-based question and answer.
- **Easy Deployment:** Run locally and test using a public link via Gradio.
### Prerequisites
- Python 3.8+
- Git
## How to Run Locally
1. Clone this repository:
git clone https://github.com/Heramb04/Fine_Tuned_GPT-2.git
cd PRODIGY_GA_1
Navigate to the directory where you have cloned the repository..
2. Set up a virtual environment:
On windows:
python -m venv venv
venv\Scripts\activate
On macOS/Linux:
python3 -m venv venv
source venv/bin/activate
3. Install the dependencies:
pip install -r requirements.txt
4. Run the application:
python app.py |