47thtechcorner/RayCodes_North_Micro_Vision_Instruct

North Micro Vision 2.4B Dropped: The BEST Local Document AI? Interactive diagram flashcard quiz generator powered by CohereLabs North Micro Vision Instruct VLM and Gradio.

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stars

1

commits

Python

primary language

Aug 13, 2026

updated

youtu.be/VF8SnudRJNw
cohere
document-ai
flashcards
gradio
north-micro-vision
ocr
vision-language-model
vlm

README

👁️ North Micro Vision Flashcards

An interactive diagram flashcard quiz generator powered by the native-resolution CohereLabs North Micro Vision Instruct multimodal AI model and Gradio. Upload any labeled diagram, anatomical chart, or schematic to instantly generate multiple choice quiz questions.

🔄 How It Works

Step 1: Input 📸Step 2: AI Action 🧠Step 3: Result 🎯
Upload any labeled diagram or chart imageNorth Micro Vision extracts labels at native resolution and formats JSON quiz dataPlay the interactive flashcard quiz game and view your final report card score

🚀 Quickstart & Installation

Follow these simple steps to run the North Micro Vision Flashcard Generator locally.

1. Prerequisites

  • Python 3.10+
  • NVIDIA GPU with ~5GB VRAM (or CPU/bf16 support)

2. Install Dependencies

pip install -r requirements.txt

3. (Optional) Pre-Download Model Weights

To download the model weights (~4.8GB) in advance before launching the app:

Option A: Using Hugging Face CLI

pip install huggingface_hub
huggingface-cli download CohereLabs/North-Micro-Vision-Instruct

Option B: Using Python

python -c "from transformers import AutoProcessor, AutoModelForCausalLM; model_id='CohereLabs/North-Micro-Vision-Instruct'; AutoProcessor.from_pretrained(model_id, trust_remote_code=True); AutoModelForCausalLM.from_pretrained(model_id, trust_remote_code=True); print('Download complete!')"

Note: Weights are cached locally in standard Hugging Face cache directory. app.py automatically reuses cached weights on future runs without re-downloading.

4. Run the Gradio Web Application

python app.py

Open your browser at http://127.0.0.1:7860 to start creating interactive diagram quizzes!


⚡ Tech Stack

  • Multimodal AI Backbone: CohereLabs/North-Micro-Vision-Instruct (2.4B Parameter VLM)
  • Framework: Hugging Face transformers & torch (bfloat16)
  • User Interface: Gradio (gr.Blocks() & gr.State())
  • Image Processing: Pillow

📁 File Structure

.
├── app.py
├── requirements.txt
└── README.md

💡 5 Practical Use Cases

  1. Medical & Biology Study: Convert anatomical diagrams (heart, brain, cell structures) into instant flashcard quizzes.
  2. Engineering Schematics: Test knowledge of circuit components, mechanical assemblies, and flowcharts.
  3. Geography & Maps: Generate interactive quizzes on labeled regional maps, topography, and landmarks.
  4. Architecture & Blueprints: Test students or trainees on building layout labels and structural design symbols.
  5. Technical Exam Prep: Convert textbook visual charts into self-study multiple choice review cards.

🔮 5 Future Enhancements

  1. Bounding Box Visualizer: Highlight the specific region of the diagram corresponding to each question during quizzes.
  2. Flashcard Deck Export: Export generated quizzes to Anki or CSV formats for persistent review.
  3. Difficulty Customization: Allow users to choose between beginner, intermediate, and expert question modes.
  4. Multi-Language Quizzes: Leverage Command A+'s multilingual backbone to output flashcards in French, German, or Spanish.
  5. Audio Pronunciation: Add text-to-speech for diagram labels to assist auditory learners.

🏷️ Keywords & SEO

North Micro Vision CohereLabs Document AI Vision Language Model Native Resolution C-RoPE SigLIP 2 Gradio Flashcard Generator DocVQA OCR AI Local AI Model

Contributors

47thtechcorner/RayCodes_North_Micro_Vision_Instruct

North Micro Vision 2.4B Dropped: The BEST Local Document AI? Interactive diagram flashcard quiz generator powered by CohereLabs North Micro Vision Instruct VLM and Gradio.

0

stars

1

commits

Python

primary language

Aug 13, 2026

updated

youtu.be/VF8SnudRJNw
cohere
document-ai
flashcards
gradio
north-micro-vision
ocr
vision-language-model
vlm

README

👁️ North Micro Vision Flashcards

An interactive diagram flashcard quiz generator powered by the native-resolution CohereLabs North Micro Vision Instruct multimodal AI model and Gradio. Upload any labeled diagram, anatomical chart, or schematic to instantly generate multiple choice quiz questions.

🔄 How It Works

Step 1: Input 📸Step 2: AI Action 🧠Step 3: Result 🎯
Upload any labeled diagram or chart imageNorth Micro Vision extracts labels at native resolution and formats JSON quiz dataPlay the interactive flashcard quiz game and view your final report card score

🚀 Quickstart & Installation

Follow these simple steps to run the North Micro Vision Flashcard Generator locally.

1. Prerequisites

  • Python 3.10+
  • NVIDIA GPU with ~5GB VRAM (or CPU/bf16 support)

2. Install Dependencies

pip install -r requirements.txt

3. (Optional) Pre-Download Model Weights

To download the model weights (~4.8GB) in advance before launching the app:

Option A: Using Hugging Face CLI

pip install huggingface_hub
huggingface-cli download CohereLabs/North-Micro-Vision-Instruct

Option B: Using Python

python -c "from transformers import AutoProcessor, AutoModelForCausalLM; model_id='CohereLabs/North-Micro-Vision-Instruct'; AutoProcessor.from_pretrained(model_id, trust_remote_code=True); AutoModelForCausalLM.from_pretrained(model_id, trust_remote_code=True); print('Download complete!')"

Note: Weights are cached locally in standard Hugging Face cache directory. app.py automatically reuses cached weights on future runs without re-downloading.

4. Run the Gradio Web Application

python app.py

Open your browser at http://127.0.0.1:7860 to start creating interactive diagram quizzes!


⚡ Tech Stack

  • Multimodal AI Backbone: CohereLabs/North-Micro-Vision-Instruct (2.4B Parameter VLM)
  • Framework: Hugging Face transformers & torch (bfloat16)
  • User Interface: Gradio (gr.Blocks() & gr.State())
  • Image Processing: Pillow

📁 File Structure

.
├── app.py
├── requirements.txt
└── README.md

💡 5 Practical Use Cases

  1. Medical & Biology Study: Convert anatomical diagrams (heart, brain, cell structures) into instant flashcard quizzes.
  2. Engineering Schematics: Test knowledge of circuit components, mechanical assemblies, and flowcharts.
  3. Geography & Maps: Generate interactive quizzes on labeled regional maps, topography, and landmarks.
  4. Architecture & Blueprints: Test students or trainees on building layout labels and structural design symbols.
  5. Technical Exam Prep: Convert textbook visual charts into self-study multiple choice review cards.

🔮 5 Future Enhancements

  1. Bounding Box Visualizer: Highlight the specific region of the diagram corresponding to each question during quizzes.
  2. Flashcard Deck Export: Export generated quizzes to Anki or CSV formats for persistent review.
  3. Difficulty Customization: Allow users to choose between beginner, intermediate, and expert question modes.
  4. Multi-Language Quizzes: Leverage Command A+'s multilingual backbone to output flashcards in French, German, or Spanish.
  5. Audio Pronunciation: Add text-to-speech for diagram labels to assist auditory learners.

🏷️ Keywords & SEO

North Micro Vision CohereLabs Document AI Vision Language Model Native Resolution C-RoPE SigLIP 2 Gradio Flashcard Generator DocVQA OCR AI Local AI Model

Contributors

Languages

Python

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