Updated Readme

README.md

@@ -1,6 +1,6 @@
 ---
 title: SimpleChatbot
-emoji: 📊
+emoji: 🤖
 colorFrom: purple
 colorTo: pink
 sdk: streamlit
@@ -8,6 +8,99 @@ sdk_version: 1.31.1
 app_file: app.py
 pinned: false
 license: mit
+models:
+  - openai/gpt-oss-120b
+  - mistralai/Mistral-7B-Instruct-v0.2
+  - google/gemma-3-27b-it
+  - google/gemma-2-27b-it
+  - google/gemma-2-9b-it
+  - google/gemma-2-2b-it
+  - HuggingFaceH4/zephyr-7b-gemma-v0.1
+  - HuggingFaceH4/zephyr-7b-beta
+  - meta-llama/Meta-Llama-3-8B-Instruct
+  - meta-llama/Meta-Llama-3.1-8B-Instruct
+  - deepseek-ai/DeepSeek-R1-Distill-Llama-70B
+  - Qwen/Qwen2.5-Coder-32B-Instruct
+  - moonshotai/Kimi-K2-Instruct
+
+---
+
+# 🤖 SimpleChatbot
+
+[![Streamlit](https://img.shields.io/badge/Built%20with-Streamlit-FF4B4B?logo=streamlit&logoColor=white)](https://streamlit.io/)
+[![Hugging Face Space](https://img.shields.io/badge/Hugging%20Face-Space-yellow?logo=huggingface)](https://huggingface.co/spaces)
+[![Python](https://img.shields.io/badge/Python-3.9%2B-blue?logo=python&logoColor=white)](https://www.python.org/)
+[![Open Source](https://img.shields.io/badge/Open%20Source-Yes-green)]()
+
+**SimpleChatbot** is a lightweight Streamlit app that lets you chat with multiple large language models (LLMs) from a single interface. It’s built as a simple, interactive way to explore and compare different models without switching tools or setups.
+
+---
+
+## ✨ Features
+
+- Chat with **multiple LLMs** from one UI  
+- Switch models on the fly (conversation resets automatically)
+- Adjustable **temperature** for response creativity
+- Built-in **rate limiting & cooldowns** for fair usage
+- Optional **Hugging Face access token** support
+- Session-based logging and usage tracking
+- Clean, minimal Streamlit interface
+
+---
+
+## 🧠 Supported Models
+
+This app supports a mix of general-purpose, reasoning, and coding-focused models, including:
+
+- OpenAI GPT-OSS-120B  
+- Meta Llama 3 / 3.1  
+- Google Gemma (2 & 3 series)  
+- DeepSeek R1 (distilled)  
+- Qwen 2.5 Coder  
+- Kimi-K2 Instruct  
+- Zephyr & Mistral variants  
+
+> Available models may change depending on backend availability.
+
+---
+
+## 🎯 Why This Exists
+
+This project was built to:
+
+- **Quickly compare LLM behavior** across different model families  
+- Provide a **simple reference implementation** for multi-model chat apps  
+- Demonstrate how to build a Streamlit chatbot using modern inference APIs  
+- Serve as a lightweight demo for experimentation, education, and prototyping  
+
+It intentionally avoids complex agent logic or tooling to keep the focus on **model responses and UX**.
+
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+## 🚀 How to Use
+
+1. Select a **model client** in the sidebar  
+2. Choose a **model**  
+3. Adjust the **temperature** if desired  
+4. Start chatting!
+
+Responses are intentionally kept brief to keep interactions fast and readable.
+
+---
+
+## ⚠️ Notes
+
+- Generated content may be **inaccurate or incorrect**
+- API calls are limited per session to prevent abuse
+- If a model fails, it may be temporarily unavailable or updating
+
+---
+
+## 👤 Author
+
+Created by **Nigel Gebodh**  
+🌐 https://ngebodh.github.io/
+
+Learn how to build this chatbot yourself:  
+👉 https://ngebodh.github.io/projects/2024-03-05/
+