Update README.md

Author: Nishant2018

README.md

@@ -1,2 +1,60 @@
-# TextGeneration-GPT-2
-GPT-2 is an advanced language model developed by OpenAI, serving as a predecessor to GPT-3. It is based on the Transformer architecture, specifically designed for natural language processing tasks.
+
+
+```markdown
+# GPT-2 Text Generation Project
+
+This project demonstrates text generation using OpenAI's GPT-2 model with a Flask web application. Users can input a prompt, specify the maximum length of the generated text, and get the output generated by GPT-2.
+
+## Project Structure
+
+- `app.py`: Flask application file.
+- `templates/`: Contains HTML templates for the web interface.
+- `static/css/`: Contains CSS stylesheets for the web interface.
+- `static/img/`: Contains images used in the web interface.
+- `requirements.txt`: List of Python dependencies.
+
+## Prerequisites
+
+- Python 3.x installed
+- Pip package manager
+- Azure account (for deployment to Azure)
+
+## Installation
+
+1. Clone the repository:
+
+   ```bash
+   git clone https://github.com/your-username/gpt2-text-generation.git
+   cd gpt2-text-generation
+   ```
+
+2. Install the required Python packages:
+
+   ```bash
+   pip install -r requirements.txt
+   ```
+
+## Running the Project Locally
+
+1. Navigate to the project directory.
+
+2. Run the Flask application:
+
+   ```bash
+   python app.py
+   ```
+
+3. Open a web browser and go to `http://localhost:5000` to access the application.
+
+## Deploying to Azure
+
+1. Create an Azure App Service for Python.
+
+2. Set up deployment options (Azure CLI, GitHub Actions, Azure DevOps, etc.).
+
+3. Configure environment variables and settings as required.
+
+4. Deploy the application to Azure App Service.
+
+5. Access the deployed application via the Azure App Service URL.
+