Spaces:
Running
Running
| title: Codebase Explainer | |
| emoji: 🔍 | |
| colorFrom: blue | |
| colorTo: green | |
| sdk: docker | |
| app_file: app.py | |
| pinned: false | |
| # 🔍 AI Codebase Explainer | |
| > Ask questions about any GitHub repository in plain English. No more reading 50 files manually. | |
| ## 🚀 Live Demo | |
| 👉 [Try it here](https://huggingface.co/spaces/Krishp1/codebase-explainer) | |
| ## 📊 Benchmark Results (psf/requests) | |
| | Metric | Result | | |
| |--------|--------| | |
| | Files indexed | 46 files | | |
| | Chunks created | 341 chunks | | |
| | Ingestion time | 15.45 seconds | | |
| | Vector DB latency | ~100ms | | |
| | Accuracy | 4/5 questions ✅ | | |
| ## 🛠️ Tech Stack | |
| - LangChain + RAG pipeline | |
| - ChromaDB (vector store) | |
| - HuggingFace Embeddings (all-MiniLM-L6-v2) | |
| - Groq LLaMA 3 (LLM) | |
| - Streamlit (UI) | |
| - Docker + HuggingFace Spaces (deployment) | |
| ## 💡 How It Works | |
| 1. Paste any GitHub repo URL | |
| 2. App clones and indexes all code files | |
| 3. Ask questions in plain English | |
| 4. Get answers with source file citations | |
| ## 🎯 Use Cases | |
| - Understand a new codebase in minutes | |
| - Onboard to a new company faster | |
| - Explore open source projects instantly | |