Add README file with application details and configuration

This commit adds a README file for the AI Transformer Contextual Text Predictive application.

The README provides:
- An overview of the application.
- A list of features.
- Instructions on how to use the app.
- Information about the license.
- Configuration details for Hugging Face Spaces.

Additionally, the README maintains the necessary configuration header for Hugging Face Spaces.

README.md

@@ -10,4 +10,23 @@ pinned: false
 license: other
 ---
 
+# AI Transformer Contextual Text Predictive
+
+This Streamlit application demonstrates a Transformer model for contextual text generation. The app allows users to input a word or phrase and generates a real-time graph based on the significant number representation of each character using a custom dictionary.
+
+## Features
+
+- **Input:** Users can input a word or phrase.
+- **Graph Generation:** The app generates a real-time graph based on the input.
+- **Contextual Text Generation:** The Transformer model is used to provide contextual predictions based on the input.
+
+## How to Use
+
+1. **Enter Text:** Type a word or phrase in the input box.
+2. **View Graph:** The application displays a graph representing the significant numbers for each character.
+
+## License
+
+The application is provided under a custom license. Please refer to the `LICENSE` file for details.
+
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference