Update README.md

README.md

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----
-title: Agentic Ecosystem Simulator
-emoji: 🌍
-colorFrom: green
-colorTo: blue
-sdk: gradio
-sdk_version: 4.0.0
-app_file: app.py
-pinned: false
-license: mit
----
-
-# 🌍 Agentic Ecosystem Simulator
-
-A sophisticated ecosystem simulator that demonstrates **agentic AI orchestration** by connecting multiple AI models through Modal cloud functions to create dynamic ecosystem simulations based on environmental descriptions.
-
-## 🎯 What This Does
-
-This simulator creates a **complete ecosystem simulation** by chaining together AI models in the cloud:
-
-1. **🧬 Species Generation** - Creates plants and animals specifically adapted to your environment
-2. **🔄 Interaction Simulation** - Simulates ecological interactions specific to your environment
-3. **📋 Ecosystem Summary** - Creates environment-aware summaries of key events
-4. **🌿 Environment Analysis** - Analyzes your input for environment type, climate, time, season & more
-
-All models run seamlessly through Modal cloud functions, demonstrating efficient **agentic orchestration**!
-
-## 🚀 How to Use
-
-1. **Enter an environment description** - Be as detailed as possible! Include time of day, season, weather, terrain features
-2. **Click "Simulate Ecosystem Day"** - The AI will generate species and simulate their interactions
-3. **Explore the Results** - View generated species, daily events, and ecosystem summary
-
-## 💡 Example Environments
-
-Try these detailed environment descriptions:
-
-- `tropical rainforest with morning mist and flowering plants`
-- `desert oasis with palm trees and rocky outcrops at sunset`
-- `temperate forest clearing in autumn with golden leaves`
-- `alpine meadow with wildflowers on a spring morning`
-- `wetland marsh with reeds and shallow water during summer evening`
-
-## 🔧 Technical Details
-
-This simulator demonstrates **agentic AI orchestration** by chaining together multiple specialized AI models:
-- Environment analysis and parsing
-- Species generation based on habitat conditions
-- Ecological interaction simulation
-- Narrative summary generation
-
-All processing happens in the cloud via Modal, making this a true **serverless AI application**.
-
-## ⚠️ Note
-
-Audio narration and visualization features are disabled in this cloud environment for compatibility reasons.
-
-## 🌟 Features
-
-- **Multi-Agent AI**: Multiple AI models working together
-- **Cloud-Native**: Powered by Modal serverless functions
-- **Dynamic Generation**: Creates unique ecosystems for any environment
-- **Beautiful Interface**: Custom nature-themed Gradio UI
-- **Real-time Processing**: Fast ecosystem simulation and generation
+---
+title: Agentic Ecosystem Simulator
+emoji: 🌍
+colorFrom: green
+colorTo: blue
+sdk: gradio
+sdk_version: 5.33.1
+app_file: app.py
+pinned: false
+license: mit
+---
+
+# 🌍 Agentic Ecosystem Simulator
+
+A sophisticated ecosystem simulator that demonstrates **agentic AI orchestration** by connecting multiple AI models through Modal cloud functions to create dynamic ecosystem simulations based on environmental descriptions.
+
+## 🎯 What This Does
+
+This simulator creates a **complete ecosystem simulation** by chaining together AI models in the cloud:
+
+1. **🧬 Species Generation** - Creates plants and animals specifically adapted to your environment
+2. **🔄 Interaction Simulation** - Simulates ecological interactions specific to your environment
+3. **📋 Ecosystem Summary** - Creates environment-aware summaries of key events
+4. **🌿 Environment Analysis** - Analyzes your input for environment type, climate, time, season & more
+
+All models run seamlessly through Modal cloud functions, demonstrating efficient **agentic orchestration**!
+
+## 🚀 How to Use
+
+1. **Enter an environment description** - Be as detailed as possible! Include time of day, season, weather, terrain features
+2. **Click "Simulate Ecosystem Day"** - The AI will generate species and simulate their interactions
+3. **Explore the Results** - View generated species, daily events, and ecosystem summary
+
+## 💡 Example Environments
+
+Try these detailed environment descriptions:
+
+- `tropical rainforest with morning mist and flowering plants`
+- `desert oasis with palm trees and rocky outcrops at sunset`
+- `temperate forest clearing in autumn with golden leaves`
+- `alpine meadow with wildflowers on a spring morning`
+- `wetland marsh with reeds and shallow water during summer evening`
+
+## 🔧 Technical Details
+
+This simulator demonstrates **agentic AI orchestration** by chaining together multiple specialized AI models:
+- Environment analysis and parsing
+- Species generation based on habitat conditions
+- Ecological interaction simulation
+- Narrative summary generation
+
+All processing happens in the cloud via Modal, making this a true **serverless AI application**.
+
+## ⚠️ Note
+
+Audio narration and visualization features are disabled in this cloud environment for compatibility reasons.
+
+## 🌟 Features
+
+- **Multi-Agent AI**: Multiple AI models working together
+- **Cloud-Native**: Powered by Modal serverless functions
+- **Dynamic Generation**: Creates unique ecosystems for any environment
+- **Beautiful Interface**: Custom nature-themed Gradio UI
+- **Real-time Processing**: Fast ecosystem simulation and generation