metadata

title: RepoSage Chatbot
emoji: 🤖
colorFrom: indigo
colorTo: blue
sdk: streamlit
sdk_version: 1.46.0
app_file: app.py
pinned: true

RepoSage™ Chatbot

An MVP AI chatbot built in AML-3304 using Bayesian embeddings, a simple transformer block, and DeepSeek-R1 integration — all wired up with a GitHub-driven CI/CD pipeline to Hugging Face Spaces.

🚀 Live Demo

Try it out live:
👉 https://huggingface.co/spaces/rohitrajpoot/reposage-chatbot

📖 Overview

What it is:

A command-line & web demo (via Streamlit) that shows:
1. Embedding Q&A: nearest‐neighbor lookup in a trained token embedding (assist/chat.py)
2. Bayesian Q&A: frequency‐based “co-occurrence” embedding lookup (assist/bayes_chat.py)
3. Transformer Demo: single‐block transformer next‐token prediction (assist/transformer_demo.py)
4. DeepSeek-R1: calls to a 1.3B-parameter model for generative Q&A (wrapped to skip gracefully in Colab)

Why it matters:

Demonstrates core GPT “atoms” (token → embedding → attention → generation)
Shows an end-to-end MLOps flow: local dev → GitHub Actions → Docker → Hugging Face Spaces

⚙️ Installation

Local (macOS/Linux)

git clone https://github.com/rohitrajpoot/reposage.git
cd reposage

# 1) Create & activate venv
python3 -m venv .venv
source .venv/bin/activate

# 2) Install dependencies
pip install --upgrade pip setuptools wheel
pip install -r requirements.txt

# 3) Smoke-test CLI
python -m assist.main chat "hello world"

# 4) Run Streamlit demo
streamlit run app.py