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| title: Vision Base | |
| emoji: 👁️ | |
| colorFrom: indigo | |
| colorTo: purple | |
| sdk: gradio | |
| sdk_version: 6.18.0 | |
| python_version: '3.13' | |
| app_file: app.py | |
| pinned: false | |
| tags: | |
| - track:backyard | |
| - sponsor:openbmb | |
| - achievement:tiny-titan | |
| - achievement:best-demo | |
| - build-small-hackathon | |
| - minicpm | |
| - openbmb | |
| - computer-vision | |
| - zerogpu | |
| - gradio | |
| # 👁️ Vision Base | |
| > **Four practical vision tools in one app — powered by a 1.3 B parameter model.** | |
| Live demo: [build-small-hackathon/vision-base](https://huggingface.co/spaces/build-small-hackathon/vision-base) | |
| --- | |
| ## What it does | |
| Most people don't carry a nutritionist, a chef, a technician, and a fortune teller in their pocket. Vision Base puts all four there — and does it with a model smaller than most podcast files. | |
| | Tool | What you snap | What you get | | |
| |---|---|---| | |
| | 🔍 **Allergen Lens** | A food label | Every allergen flagged, dietary status, prep instructions, and a personal safety verdict | | |
| | 🍽️ **Fridge Dinner** | Your open fridge | Three dinner ideas using only what's visible, plus a "use soon" warning list | | |
| | 🔮 **Object Oracle** | Anything at all | A tarot-style mystical reading of that object's hidden essence | | |
| | 🛠️ **What's That Error?** | An appliance error screen | The fault code decoded, root cause explained, and step-by-step fix — no manual needed | | |
| --- | |
| ## Why it matters | |
| Every one of these is a real problem people reach for their phone to solve. Checking a label with an allergy is stressful. Staring at an error code at 10 PM is frustrating. Staring at a half-empty fridge every evening is a genuine daily dilemma. Vision Base solves all four in under 5 seconds — no API keys, no subscription, no data leaving your session. | |
| --- | |
| ## The model: MiniCPM-V 4.6 | |
| - **1.3 billion parameters** — qualifies for the Tiny Titan badge (≤ 4B) | |
| - Built by **OpenBMB** — qualifies for the OpenBMB sponsor prize | |
| - Runs on **ZeroGPU** — accessible to anyone, no GPU required from the user | |
| - Handles JSON-structured extraction, multi-image input, and free-form creative generation — all in the same weights | |
| The model loads once at startup, runs via `@spaces.GPU(duration=120)`, and offloads to CPU between calls to be a good ZeroGPU citizen. | |
| --- | |
| ## Tech stack | |
| ``` | |
| openbmb/MiniCPM-V-4.6 ← vision backbone (1.3B params, bfloat16) | |
| Gradio 6.18 ← UI framework | |
| Hugging Face ZeroGPU ← A100 GPU on demand | |
| spaces + transformers ← inference wiring | |
| ``` | |
| Custom UI details: dark gradient hero header, per-tab color theming, shimmer skeleton loading animation, slide-up reveal on output, styled result cards — all in pure Gradio CSS and `gr.HTML`. | |
| --- | |
| ## Demo video | |
| 🎬 **[TODO: paste your demo video URL here — YouTube, Loom, or HF Video]** | |
| *(Record a 60–90 second walkthrough: snap a food label, open fridge, mystery object, and appliance error — show all four tools in action)* | |
| --- | |
| ## Social post | |
| 📣 **[TODO: paste your social media post URL here — X/Twitter, LinkedIn, etc.]** | |
| *(Mention `#BuildSmall`, link the Space, and show a screenshot or short clip of the app working)* | |
| --- | |
| ## Tracks & prizes this submission targets | |
| | Category | Why we qualify | | |
| |---|---| | |
| | **Track: Backyard AI** | Four practical everyday tools solving real user problems | | |
| | **OpenBMB Sponsor Prize** | Core model is `openbmb/MiniCPM-V-4.6` — OpenBMB's own multimodal vision model | | |
| | **Tiny Titan Badge** | Entire app runs on 1.3B parameters — well under the 4B cap | | |
| | **Best Demo Badge** | Polished four-in-one app with video and social storytelling | | |
| --- | |
| ## Running locally | |
| ```bash | |
| git clone https://huggingface.co/spaces/build-small-hackathon/vision-base | |
| cd vision-base | |
| uv venv .venv && source .venv/bin/activate | |
| uv pip install -r requirements.txt | |
| python app.py | |
| ``` | |
| > Requires a CUDA GPU locally. On the Space, ZeroGPU handles GPU allocation automatically. | |