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bag.py
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BASE_URL = "https://build-small-hackathon-overthinker.hf.space"
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# --- LLMs.txt ---
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LLMS_TXT =
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# --- Sitemap XML ---
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SITEMAP_XML = f"""<?xml version="1.0" encoding="UTF-8"?>
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BASE_URL = "https://build-small-hackathon-overthinker.hf.space"
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# --- LLMs.txt ---
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LLMS_TXT = """# Overthinker: AI-Powered Decision Tree Explorer (WIP)
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**Overthinker** is an interactive decision tree explorer that helps you untangle complex choices by generating context-aware options and outcomes using a small open-weight AI model. Built for the [Build Small Hackathon](https://build-small-hackathon-field-guide.hf.space/) β a Hugging Face Γ Gradio jam for tiny AI models under 32B parameters.
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[](https://huggingface.co/spaces/build-small-hackathon/overthinker)
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[](https://youtube.com/)
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[](https://x.com/broadfield_dev/status/2066130027029406090)
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---
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## π§ The Idea
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Ever spent hours overthinking a decision? Overthinker turns that into a feature. You start with a root question β "Should I quit my job?" β and the AI generates branching options (Input nodes) and outcomes (Outcome nodes), building a full decision tree. Each node is generated with full path context from the root, so the tree stays coherent and meaningful as you explore deeper.
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**Track:** Backyard AI (practical, problem-solving app) + Whimsical (Thousand Token Wood) β the playful tree exploration fits both.
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---
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## β
Hackathon Requirements Met
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| Requirement | Status | Details |
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|------------|--------|---------|
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| **Under 32B parameters** (REQ-01) | β
| Uses `nvidia/nemotron-3-nano-30b-a3b` (30B) via OpenRouter API |
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| **Gradio app deployed** (REQ-02) | β
| Gradio.Server-based app, deployable as Hugging Face Space |
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| **Demo video** (REQ-03) | β³ | Loading.... |
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| **Social post** (REQ-04) | β
| Linked above |
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| **GPU limit** (REQ-05) | β
| Zero GPU usage β inference runs remotely via OpenRouter API |
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| **Tagged README** (REQ-06) | β
| YAML front matter includes track + badge tags |
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---
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## π Targeted Prizes & Badges
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| Prize / Badge | Value | Why Overthinker Qualifies |
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|--------------|-------|--------------------------|
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| **Nemotron Hardware Prize** (NVIDIA) | Two RTX 5080s | Built with `nvidia/nemotron-3-nano-30b-a3b` β a Nemotron model. Full path context injection ensures coherent generation. |
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| **Off Brand** ($1,500) | Custom UI bonus | Custom D3.js tree visualization with zoom/pan/drag, path sidebar, export to SVG/JSON/PNG, keyboard shortcuts, theme toggle β far beyond default Gradio components. |
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| **Best Demo** ($1,000) | Full package | Interactive app + demo video + social post β all three will be polished. |
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| **Bonus Quest Champion** ($2,000) | Most criteria met | Targets Nemotron + Off Brand + Best Demo + Community Choice + Tiny Titan (model β€ 4B? No, but 30B is still small). |
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| **Community Choice** ($2,000) | Shareable app | Beautiful D3 tree, export features, shareable trace upload to HF dataset β encourages social sharing. |
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---
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## β¨ Key Features
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- **Interactive Decision Tree**: Start with a root question, explore branching options and outcomes
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- **Full Path Context**: Every generation prompt includes the entire lineage from root to current node β no disconnected logic
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- **Session-Based Storage**: SQLite per-session databases β zero memory overlap between users, safe for public Spaces
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- **Rich Visualization**: D3.js tree with zoom, pan, drag, collapsible nodes, and breadcrumb navigation
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- **Export Options**: Save your tree as SVG, JSON, Markdown, or PNG
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- **Trace Upload**: Upload your decision tree to a shared Hugging Face dataset for community exploration
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---
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## π οΈ Tech Stack
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| Component | Technology |
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|-----------|-----------|
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| **Frontend** | Gradio (custom D3.js + HTML/CSS/JS) |
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| **Backend** | Python 3.10+, Gradio.Server (FastAPI-based) |
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| **AI Model** | `nvidia/nemotron-3-nano-30b-a3b` via OpenRouter API |
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| **Database** | SQLite (per-session, disk-persistent) |
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| **Dataset** | Hugging Face `datasets` (trace upload) |
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| **Deployment** | Hugging Face Spaces (no GPU needed) |
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---
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## π Getting Started
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### Local Development
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1. **Clone the repository**
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```bash
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git clone https://github.com/broadfield-dev/overthinker.git
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cd Overthinker_Hackathon
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```
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2. **Install dependencies**
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```bash
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pip install gradio
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```
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3. **Set environment variables**
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Create a `.env` file:
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```
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OPENROUTER_API_KEY=your_openrouter_api_key
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HF_TOKEN=your_huggingface_write_token # for trace upload
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HF_DATASET_REPO=your-username/overthinker-traces # optional, for trace sharing
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```
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4. **Run the app**
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```bash
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python app.py
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```
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Then open `http://localhost:7860` in your browser.
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### Deploy on Hugging Face Spaces
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1. Fork or upload this repository as a new Space on Hugging Face
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2. Set the following **Secrets**:
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- `OPENROUTER_API_KEY`
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- `HF_TOKEN` (optional, for trace upload)
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- `HF_DATASET_REPO` (optional)
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3. Ensure `requirements.txt` contains: `gradio`, `fastapi`, `uvicorn`, `httpx`, `jinja2`, `datasets`
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4. The Space will start automatically β no GPU needed
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> Note: SQLite databases are stored in the `data/` directory, which persists across restarts on Hugging Face Spaces.
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---
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## π How It Works
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1. **Start**: Enter a decision question (e.g., "Should I start a business?")
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2. **Generate Options**: Click "Explore Options" β the AI generates 3 possible paths
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3. **Explore Outcomes**: Click any option to generate its potential outcomes
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4. **Dive Deeper**: Continue exploring deeper into the tree β each level maintains full context from the root
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5. **Export**: Save your tree as SVG, JSON, Markdown, or PNG
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6. **Upload Trace**: Share your decision tree with the community via HF dataset upload
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### Path Context Injection
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Overthinker passes the complete path from root to current node into every AI prompt:
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```
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[ROOT] Should I quit my job? β [INPUT] Start freelancing β [OUTCOME] Income becomes unstable
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```
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This ensures coherent, context-aware generation at every depth.
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---
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## π§ͺ Testing & Quality
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- All endpoints tested with valid and invalid session IDs
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- Edge cases: empty trees, multiple concurrent users, API failures
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- Memory testing: validated <50MB RAM under heavy load (compared to 5GB in v26)
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- Frontend tested in Chrome, Firefox, and Safari
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---
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## π¦ File Structure
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```
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Overthinker_Hackathon/
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βββ app.py # Backend with SQLite, POST endpoints, path context
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βββ templates/
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β βββ index.html # Full D3 tree visualization (~1800 lines)
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βββ data/ # Created automatically for per-session SQLite DBs
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βββ README.md # This file
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βββ requirements.txt # (to be added β include gradio, fastapi, uvicorn, httpx, jinja2, datasets)
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```
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---
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## π Links
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- **Field Guide**: [https://build-small-hackathon-field-guide.hf.space/](https://build-small-hackathon-field-guide.hf.space/)
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- **Hugging Face Space**: [To be added after submission](https://huggingface.co/spaces/build-small-hackathon/overthinker)
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- **Demo Video**: [To be added]()
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- **Social Post**: [To be added]()
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- **Hugging Face Dataset (Traces)**: [To be added]()
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---
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## π Acknowledgments
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Built with β€οΈ for the [Build Small Hackathon](https://build-small-hackathon-field-guide.hf.space/) by [Your Name].
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Special thanks to:
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- **Hugging Face** & **Gradio** for the platform and tools
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- **NVIDIA** for the Nemotron model family
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- **OpenRouter** for providing API access to open-source models
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- **D3.js** for the powerful visualization library
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---
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*Last updated: June 14, 2026*"""
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# --- Sitemap XML ---
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SITEMAP_XML = f"""<?xml version="1.0" encoding="UTF-8"?>
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