Update README.md

README.md

@@ -1,45 +1,36 @@
-# 🧠 Neural Link: 6G Semantic Communication Decoder
-
-![Live Status](https://img.shields.io/badge/Status-Active-brightgreen.svg)
-![Tech Stack](https://img.shields.io/badge/Stack-React%20|%20FastAPI%20|%20Docker-blue.svg)
-![AI Model](https://img.shields.io/badge/AI-OpenAI%20GPT--4o--mini-orange.svg)
-
-## 🎯 Project Objectives
-
-Traditional wireless communication systems are designed to transmit precise bits of data. However, in highly destructive, noisy environments, massive bit loss can render traditional messages unreadable. 
-
-**Semantic Communication** (a cornerstone of upcoming 6G networks) shifts the paradigm: instead of trying to recover the exact bits, the system attempts to recover the *meaning* (intent) of the message. 
-
-This project simulates a noisy wireless channel and acts as an intelligent receiver. It uses a Large Language Model (LLM) to act as a **Semantic Decoder**, taking heavily corrupted text strings and reconstructing the original human intent perfectly.
+---
+title: Neural Link 6G Semantic Decoder
+emoji: 🧠
+colorFrom: blue
+colorTo: indigo
+sdk: docker
+pinned: false
+app_port: 7860
+---
 
-## ⚙️ How It Works
-
-1. **Signal Corruption (Simulation):** A message is passed through a simulated noisy wireless channel, resulting in severely corrupted text (e.g., bits dropped, characters scrambled).
-2. **Semantic Decoding:** The corrupted output is fed into an AI-powered decoder (`gpt-4o-mini`).
-3. **Intent Reconstruction:** The AI analyzes the contextual clues remaining in the corrupted text and outputs the corrected, original semantic intent.
-
-## 🛠️ Technology Stack
-
-* **Frontend:** React.js, Vite, Tailwind CSS
-* **Backend:** Python, FastAPI, Uvicorn
-* **AI / Engine:** OpenAI API (`gpt-4o-mini`)
-* **Deployment:** Docker (Multi-stage builds), Hugging Face Spaces
-
-## 📂 Project Structure
+# 🧠 Neural Link: 6G Semantic Communication Decoder
 
-```text
-neural-link-space/
-├── frontend/               # React application
-│   ├── src/
-│   │   ├── main.jsx        # React entry point
-│   │   ├── App.jsx         # Main UI component
-│   │   └── index.css       # Tailwind CSS configuration
-│   ├── package.json
-│   └── vite.config.js
-├── backend/                # Python FastAPI server
-│   ├── main.py             # API routing and server setup
-│   ├── comm_system.py      # Wireless channel noise simulation
-│   └── ai_decoder.py       # OpenAI semantic reconstruction logic
-├── Dockerfile              # Multi-stage build instructions
-├── requirements.txt        # Python dependencies
-└── README.md
+Welcome to the **Neural Link** Space! This application simulates a next-generation 6G wireless communication concept: **Semantic Decoding**.
+
+## 🎯 The Core Concept
+In highly destructive, noisy environments, traditional wireless communication (which tries to recover exact bits) fails completely, rendering messages unreadable. Semantic Communication shifts the paradigm: instead of trying to recover the exact bits, the system uses AI to recover the *meaning* (intent) of the corrupted message.
+
+## ⚙️ How This Space Works
+1. **The Noisy Channel:** A message is passed through a simulated wireless channel, resulting in severely corrupted text (e.g., `Cr^tical satellite %elemetr& d~ta...`).
+2. **The AI Decoder:** The corrupted output is fed into an AI model (`gpt-4o-mini`).
+3. **Intent Reconstruction:** The AI analyzes the remaining contextual clues and reconstructs the perfectly corrected, original semantic intent.
+
+## 🚀 Architecture
+This Space uses a custom Docker multi-stage build to serve a modern web app:
+* **Frontend:** React.js powered by Vite
+* **Backend:** Python FastAPI
+* **AI Engine:** OpenAI API
+
+## 🔑 Important Setup: Space Secrets
+To run this Space successfully, the AI Decoder requires an active OpenAI API Key. 
+If you are cloning or duplicating this Space, you must add your own key:
+1. Go to this Space's **Settings**.
+2. Scroll down to **Variables and secrets**.
+3. Create a new Secret with the Name: `OPENAI_API_KEY`
+4. Paste your active OpenAI key into the Value field.
+*(Note: The OpenAI account must have available billing credits to avoid `429 Insufficient Quota` errors).*