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