Update README.md

README.md

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 ---
-title: Unified AI Chatbot (AML-3304)
+title: RepoSage AI Chatbot (AML-3304)
 emoji: 🤖
 colorFrom: blue
 colorTo: indigo
 sdk: streamlit
-sdk_version: "1.20.0"
+sdk_version: 1.20.0
 app_file: app.py
 pinned: false
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# 🤖 RepoSage Unified Chatbot – AML-3304 Final Submission
 
----
-
-# Unified AI Chatbot 🤖
+This is our **MVP AI chatbot** for the AML-3304 course assignment:  
+**"From Tokens to Transformers: Building AI Systems with Embeddings, Generative Models, and MLOps."**
 
-This is an **MVP AI chatbot project** for the **AML-3304 course assignment** titled:
+It brings together:
+- 🧠 Bayesian-style Q&A  
+- 📘 General Q&A using FLAN-T5  
+- 🧑‍💻 Code Generation using CodeGen  
 
-**“From Tokens to Transformers: Building AI Systems with Embeddings, Generative Models, and MLOps.”**
+All in a single unified Streamlit application — hosted live on Hugging Face Spaces.
 
 ---
 
 ## 🔄 Supported Modes
 
-| Mode | Description | Model Used |
-|------|-------------|------------|
-| 🧑‍💻 Code Generator | Generate Python code from natural language | `Salesforce/codegen-350M-mono` |
-| 📘 General Q&A | Answer factual questions with reasoning | `google/flan-t5-base` |
-| 📊 Bayesian Q&A | Sample-based Q&A with top-k decoding | `google/flan-t5-base` |
+| Mode            | Description                           | Model Used                       |
+|-----------------|---------------------------------------|----------------------------------|
+| 🧑‍💻 Code Generator | Generate Python code via prompt       | `Salesforce/codegen-350M-mono`   |
+| 📘 General Q&A     | Factual Q&A with FLAN reasoning       | `google/flan-t5-base`            |
+| 📊 Bayesian Q&A    | Top-k sampling from embedding space   | FLAN + custom Bayesian logic     |
 
 ---
 
-## 🚀 Hosted on Hugging Face Spaces
+## 🚀 Live Demo
 
-👉 [Live Demo](https://huggingface.co/spaces/YOUR_USERNAME/unified-chatbot)  
-*(Replace YOUR_USERNAME after deployment)*
+🔗 Hugging Face Space: [https://huggingface.co/spaces/Group2255/programming-help-chatbot](https://huggingface.co/spaces/Group2255/programming-help-chatbot)
 
 ---
 
 ## 💻 Local Installation
 
-Clone the project and run locally with Python or Docker:
-
 ### Option 1: Python + Streamlit
 
 ```bash
-git clone https://github.com/YOUR_USERNAME/unified-chatbot
-cd unified-chatbot
+git clone https://huggingface.co/spaces/Group2255/programming-help-chatbot
+cd programming-help-chatbot
 pip install -r requirements.txt
 streamlit run app.py
-```
-
-### Option 2: Docker
-
-```bash
-docker build -t unified-chatbot .
-docker run -p 8501:8501 unified-chatbot
-```
-
-Then open your browser at: `http://localhost:8501`
-
----
-
-## 📦 Project Structure
-
-```bash
-├── app.py               # Streamlit application
-├── requirements.txt     # Python dependencies
-├── Dockerfile           # Optional Docker support
-├── README.md            # This file
-└── space.yaml           # (Optional) Hugging Face metadata
-```
-
----
-
-## 📚 Assignment Goals Covered
-
-- ✅ MVP AI chatbot with multiple generative models
-- ✅ Embeddings + Bayesian-style sampling
-- ✅ PyTorch backend (via Hugging Face Transformers)
-- ✅ MLOps-ready with Docker and GitHub Actions-ready design
-- ✅ Deployable on Hugging Face Spaces (CPU Basic)
-
----
-
-## 📜 License
-
-MIT License – Free for educational and non-commercial use.