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| title: Amazon Trailer Inspector | |
| emoji: π | |
| colorFrom: blue | |
| colorTo: indigo | |
| sdk: gradio | |
| sdk_version: "5.29.0" | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| # π Amazon Trailer Inspector | |
| AI-powered pipeline that verifies **4 required components** in Amazon trailer photos using free vision LLMs. | |
| ## Detected components | |
| | Component | Description | | |
| |-----------|-------------| | |
| | π· **Sensors** | Two diamond-shaped metal plates near rear doors | | |
| | π‘ **GPS Device** | White rectangular box at the upper corner | | |
| | πΆ **Prime Logo** | Amazon Prime logo / arrow swoosh | | |
| | π·οΈ **Trailer ID Label** | Vertical green ID strip on the corner post | | |
| ## How to use | |
| 1. Upload one or more photos of the same trailer | |
| 2. Click **Analyze Trailer** | |
| 3. See β Found / β Missing for each component | |
| ## Setup (required) | |
| Space Settings β **Repository Secrets** β add `HF_TOKEN` | |
| (free Read token from [huggingface.co/settings/tokens](https://huggingface.co/settings/tokens)) | |
| ## Models used (free tier, tried in order) | |
| 1. `meta-llama/Llama-3.2-11B-Vision-Instruct` β primary | |
| 2. `Qwen/Qwen2.5-VL-7B-Instruct` β fallback 1 | |
| 3. `google/gemma-3-4b-it` β fallback 2 |