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- # Nomic Vision Embedding Model
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-
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- This project provides a Gradio interface for the [nomic-ai/nomic-embed-vision-v1.5](https://huggingface.co/nomic-ai/nomic-embed-vision-v1.5) image embedding model. It allows you to upload images and generate embeddings that can be used for various computer vision tasks.
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-
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- ## Features
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-
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- - Generate embeddings for images using the nomic-ai/nomic-embed-vision-v1.5 model
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- - Simple and intuitive Gradio web interface
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- - Support for various image formats
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-
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- ## How It Works
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-
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- The application uses the Hugging Face Transformers library to load the nomic-ai/nomic-embed-vision-v1.5 model and generate embeddings for uploaded images. The embeddings are high-dimensional vector representations of the images that capture their semantic content.
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-
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- ## Deployment
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-
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- This application is designed to be deployed on Huggingface Spaces. To deploy:
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-
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- 1. Create a new Space on Huggingface Spaces with the Gradio SDK
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- 2. Upload these files to your Space
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- 3. The Space will automatically build and deploy the application
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-
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- ## Local Development
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-
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- To run this application locally:
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-
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- 1. Clone this repository
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- 2. Install the dependencies: `pip install -r requirements.txt`
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- 3. Run the application: `python app.py`
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- 4. Open your browser at http://localhost:7860
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-
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- ## Requirements
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-
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- - Python 3.7+
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- - Gradio 4.19.0+
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- - Transformers
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- - PyTorch
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- - Pillow
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- - NumPy
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- - Requests
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-
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- ## License
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-
 
 
 
 
 
 
 
 
 
 
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  This project is licensed under the MIT License - see the LICENSE file for details.
 
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+ ---
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+ title: Nomic MCP Tool
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+ emoji: 🗂️
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+ colorFrom: indigo
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+ colorTo: pink
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+ sdk: gradio
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+ sdk_version: "5.26.0"
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+ app_file: app.py
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+ pinned: false
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+ ---
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+ # Nomic Vision Embedding Model
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+
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+ This project provides a Gradio interface for the [nomic-ai/nomic-embed-vision-v1.5](https://huggingface.co/nomic-ai/nomic-embed-vision-v1.5) image embedding model. It allows you to upload images and generate embeddings that can be used for various computer vision tasks.
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+
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+ ## Features
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+
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+ - Generate embeddings for images using the nomic-ai/nomic-embed-vision-v1.5 model
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+ - Simple and intuitive Gradio web interface
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+ - Support for various image formats
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+
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+ ## How It Works
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+
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+ The application uses the Hugging Face Transformers library to load the nomic-ai/nomic-embed-vision-v1.5 model and generate embeddings for uploaded images. The embeddings are high-dimensional vector representations of the images that capture their semantic content.
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+
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+ ## Deployment
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+
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+ This application is designed to be deployed on Huggingface Spaces. To deploy:
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+
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+ 1. Create a new Space on Huggingface Spaces with the Gradio SDK
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+ 2. Upload these files to your Space
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+ 3. The Space will automatically build and deploy the application
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+
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+ ## Local Development
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+
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+ To run this application locally:
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+
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+ 1. Clone this repository
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+ 2. Install the dependencies: `pip install -r requirements.txt`
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+ 3. Run the application: `python app.py`
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+ 4. Open your browser at http://localhost:7860
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+
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+ ## Requirements
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+
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+ - Python 3.7+
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+ - Gradio 4.19.0+
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+ - Transformers
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+ - PyTorch
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+ - Pillow
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+ - NumPy
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+ - Requests
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+
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+ ## License
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+
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  This project is licensed under the MIT License - see the LICENSE file for details.