Dara v1

--- language: - en - id license: apache-2.0 library_name: transformers tags: - vision - assistive-technology - accessibility - vision-language-model - florence-2 - multimodal base_model: microsoft/Florence-2-base pipeline_tag: image-to-text widget: - src: https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/tasks/car.jpg example_title: Scene Description --- <div align="center"> # 🪔 DARA — Detect & Assist Recognition AI **"Mata untuk semua" — Eyes for everyone** [](LICENSE) [](.) [](.) [](.) *Lightweight Vision-Language Model for Assistive Technology* [Demo](https://huggingface.co/spaces/ardelyo/dara-demo) • [GitHub](https://github.com/ardelyo/dara) • [Docs](https://github.com/ardelyo/dara/docs) </div> --- ## ⚡ What is DARA? DARA is a **lightweight VLM** designed to help visually impaired users understand their surroundings through **5 specialized modes** — with voice output support. | Feature | Spec | |---------|------| | 🧠 Base Model | Florence-2-base | | 📦 Size | 232M params (~500MB) | | ⚡ Speed | <200ms on CPU | | 🌍 Languages | English, Indonesian | | 🔊 Output | Text + Voice (TTS) | --- ## 🎯 5 Intelligence Modes | Mode | Use Case | Example Output | |:----:|----------|----------------| | 👁️ **Scene** | Describe surroundings | *"Kitchen with wooden table. Stove on left."* | | 😊 **Emotion** | Read facial expressions | *"Happy. They seem in good spirits!"* | | 💊 **Medicine** | Read medicine labels | *"Dosage: 500mg. Take as prescribed."* | | 💵 **Currency** | Identify money | *"Rp 50,000. Blue-colored note."* | | 📖 **Text** | OCR for signs/labels | *"EXIT sign detected."* | --- ## 🚀 Quick Start ```python from dara import DARA # Initialize dara = DARA() # Use any mode result = dara.detect( image_path="photo.jpg", mode="scene", # scene | emotion | medicine | currency | text language="en" # en | id ) print(result["result"]) # Text description # Audio saved to result["audio"] ``` --- ## 📥 Installation ```bash pip install torch transfor...