Update README.md

README.md

@@ -1,8 +1,8 @@
 ---
 title: Endev Chabo Prototype
-emoji: 🏃
-colorFrom: pink
-colorTo: purple
+emoji: 🤖🔥
+colorFrom: yellow
+colorTo: gray
 sdk: docker
 app_port: 3000
 pinned: false
@@ -31,9 +31,8 @@ User-friendly interface for complex regulatory information
 
 #### 💬 How to Ask Effective Questions
 ❌ Less Effective ✅ More Effective 
-"What is deforestation?" vs "What are the main deforestation hotspots in Ecuador?" 
-"Tell me about compliance" vs "What EUDR requirements apply to coffee imports from Guatemala?" 
-"Show me data" vs "What is the deforestation rate in the uploaded region?"
+"What is development?" vs "What is the ccoking solutions related behaviour studies?" 
+"Tell me about publications" vs "What does the ELIA Tiers & Markets tool classify" 
 
 
 #### ⭐ Best Practices
@@ -71,7 +70,7 @@ Provider / Supplier: GIZ Data Service Center
 As of: December 2025
 
 1. General Description of the System
-EnDev Agent is an AI-powered conversational assistant designed to help you retrieve information on the Energising Development (EnDev) project. This tool leverages advanced language models to help you get clear and structured answers about EUDR requirements, compliance procedures, and regulatory guidance.
+EnDev Agent is an AI-powered conversational assistant designed to help you retrieve information on the Energising Development (EnDev) project. This tool leverages advanced language models to help you get clear and structured answers about Endev related documents.
 
 It combines a generative language assistant with a knowledge base implemented via Retrieval-Augmented Generation (RAG). 
 
@@ -89,7 +88,7 @@ Model Name: BAAI/bge-reranker-v2-m3
 Model Source: Local Instance
 
 4. Model Training Data
-All the models mentioned above are being consumed without any fine-tuning or training being performed by the developer team of EUDR Bot. And hence there is no training data which had been used by the development team of EUDR Bot.
+All the models mentioned above are being consumed without any fine-tuning or training being performed by the developer team of EnDev Bot. And hence there is no training data which had been used by the development team of EnDev Bot.
 
 5. Knowledge Base (Retrieval Component)
 Data Sources: Public EnDev documentation