Update README.md

README.md

@@ -2,85 +2,9 @@
 title: PROJECT-CHIMERA
 app_file: app.py
 sdk: gradio
-sdk_version: 5.42.0
----
-# Project Chimera: A Functional, Multi-Persona AI Agent
-
-## 1. Project Objective
-
-Project Chimera has evolved from a conceptual framework into a functional, multi-persona AI agent. It uses a modular architecture to delegate tasks to specialized "personas" that are powered by the Google Gemini Pro API. This creates a system capable of providing expert-level analysis across different domains by adopting the correct context for each query.
-
----
-
-## 2. Core Architecture: The Functional AI Framework
-
-### A. The Causal Reasoning Core (CRC)
-The heart of Chimera. The CRC analyzes user prompts and uses a **Capability-Based Routing** system to delegate the task to the most appropriate AI persona.
-
-### B. Specialized Cognitive Modules (SCMs)
-These are no longer placeholders. Each SCM is now a functional "AI Persona" that crafts a highly specialized, role-playing prompt to send to the Gemini API. This ensures the response is not generic, but tailored to the specific domain. Current functional modules include:
-- **Abstract Symbology Module (ASM):** Acts as an expert code analyst and mathematician.
-- **Sensory Fusion Engine (SFE):** Acts as a data scientist, analyzing and finding patterns in data descriptions.
-- **Creative Synthesis Module (CSM):** Acts as a creative director and author, generating novel ideas and stories.
-
-### C. The Metacognitive Layer
-The "overseer" layer monitors the system's operations, logging the delegation process and system status.
-
----
-
-## 3. Setup and Configuration
-
-### 1. Prerequisites
-- Python 3.x
-- A Google Gemini API key. Get one from [Google AI Studio](https://aistudio.google.com/app/apikey).
-
-### 2. Install Dependencies
-Open your terminal and run:
-```bash
-pip install google-generativeai
-3. Configure Your API Key
-Open the config.py file.
-Find the line API_KEY = "YOUR_API_KEY_HERE".
-Replace YOUR_API_KEY_HERE with your actual, secret API key.
-IMPORTANT: Do NOT commit your real API key to a public GitHub repository.
-4. How to Run
-Run the main entry point from your terminal:
-
-Bash
-
-python main.py
-The script will initialize the system and run a series of demonstration tasks, printing the live, AI-generated responses to your console.
-
-
-***
-
-### `config.py`
-
-```python
-# config.py
-# System-wide configuration settings for Project Chimera.
-
-# --- Gemini API Configuration ---
-# IMPORTANT: Replace "YOUR_API_KEY_HERE" with your actual Google Gemini API key.
-# This key should be kept secret and should not be committed to public version control.
-API_KEY = "YOUR_API_KEY_HERE"
-
-# --- System Configuration ---
-
-# Set the operational mode for the AI
-# 'development' - Enables verbose logging and debug information.
-# 'production' - Optimized for performance with minimal console output.
-OPERATION_MODE = 'development'
-
-# Configuration for the Metacognitive Layer
-METACOGNITIVE_CONFIG = {
-    "monitoring_interval_seconds": 10,
-}
-
-# Configuration for the Gemini Model
-GEMINI_MODEL_CONFIG = {
-    "temperature": 0.4,
-    "top_p": 1,
-    "top_k": 32,
-    "max_output_tokens": 4096,
-}
+sdk_version: 6.3.0
+license: mit
+emoji: 🌖
+colorFrom: indigo
+colorTo: purple
+---