Updated README with SHX info

README.md

@@ -1,3 +1,81 @@
+---
+title: SHX-Auto: Multiversal System Builder
+emoji: 🤖
+colorFrom: green
+colorTo: blue
+sdk: gradio
+sdk_version: "3.0.0"
+app_file: app.py
+pinned: false
+---
+
 # SHX-Auto: Multiversal System Builder
+
 ## 🤯 GPT-Neo-based automation terminal agent for quantum-native devs.
 ✨ By: subatomicERROR
+
+### Overview
+
+SHX-Auto is a powerful, GPT-Neo-based automation terminal agent designed for quantum-native developers. It leverages the capabilities of the GPT-Neo model to provide intelligent and context-aware responses to your commands, making it an indispensable tool for rapid prototyping and development.
+
+### Features
+
+- **Intelligent Responses**: Utilizes the GPT-Neo model to generate context-aware and intelligent responses.
+- **Gradio Interface**: User-friendly interface built with Gradio for easy interaction.
+- **Customizable Configuration**: Easily configure the model's parameters to suit your needs.
+- **Developer-Friendly**: Designed with quantum-native developers in mind, SHX-Auto is a versatile tool for building and testing applications.
+
+### Usage
+
+1. **Run the Application**:
+   - Open the Gradio interface by visiting the Hugging Face Space URL.
+   - Enter your command in the input box and click "Run" to get a response.
+
+2. **Customize Configuration**:
+   - Modify the `shx-config.json` file to adjust the model's parameters such as `max_length`, `temperature`, `top_k`, and `top_p`.
+
+### Configuration
+
+The `shx-config.json` file contains the following parameters:
+
+```json
+{
+    "model_name": "EleutherAI/gpt-neo-1.3B",
+    "max_length": 150,
+    "temperature": 0.7,
+    "top_k": 50,
+    "top_p": 0.9
+}
+
+    model_name: The name of the GPT-Neo model to use.
+    max_length: The maximum length of the generated response.
+    temperature: Controls the randomness of predictions by scaling the logits before applying the softmax function.
+    top_k: The number of highest probability vocabulary tokens to keep for top-k filtering.
+    top_p: The cumulative probability for nucleus sampling.
+
+Credits
+
+    Model: GPT-Neo
+    Gradio: Gradio
+    Hugging Face: Hugging Face
+
+Support
+
+For more information and support, visit our GitHub repository:
+
+    GitHub Repository
+
+License
+
+This project is licensed under the MIT License. See the LICENSE file for details.
+Contact
+
+    Author: subatomicERROR
+    Email: [email protected]
+    GitHub: subatomicERROR
+
+Acknowledgments
+
+    Special thanks to the Hugging Face team for providing the platform and tools to build this application.
+    Thanks to the open-source community for their contributions and support.
+