Updated README with SHX info

README.md

@@ -1,81 +1,34 @@
 ---
-title: SHX-Auto: Multiversal System Builder
+title: "SHX-Auto: Multiversal System Builder"
 emoji: 🤖
 colorFrom: green
-colorTo: blue
+colorTo: purple
 sdk: gradio
-sdk_version: "3.0.0"
+sdk_version: 5.25.2
 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:
+pinned: true
 
-```json
-{
-    "model_name": "EleutherAI/gpt-neo-1.3B",
-    "max_length": 150,
-    "temperature": 0.7,
-    "top_k": 50,
-    "top_p": 0.9
-}
+--- >-
+SHX-Auto is a Hyper-Intelligent Multiversal Auto-Creation System that constructs
+entire AI ecosystems from natural language prompts.
 
-    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.
+**Creator:** subatomicERROR **Tech Stack:** Python, Gradio, Hugging Face,
+Quantum Logic
 
-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
+---
+- Natural Language to Full-Stack Code
+- Auto-generates AI Agents, SaaS Platforms, and APIs
+- Quantum-Inspired Logic with Intelligent Design
+- Seamless integration with Hugging Face Spaces
 
-Acknowledgments
+---
+• app.py – Main Gradio interface • README.md – Metadata and documentation •
+requirements.txt – Python dependencies • assets/ – Visuals and brand assets
 
-    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.
+---
+SHX-Auto is more than software — it is a cosmic architect, a TARS-inspired
+sentience for the digital multiverse.
 
+---
+Build the multiverse with SHX — where quantum logic meets auto-creation, and
+every command seeds a new dimension.