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ClementP commited on Jun 17

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-# DN-AI
-This is the official repository for DN-AI, an automated tool for measurement of differentiated DNA replication in fluorescence microscopy images.
-DN-AI offers different solutions for biologists to measure DNA replication in fluorescence microscopy images, without requiring programming skills. See the [Installation](#installation) section for instructions on how to install DN-AI.
-## Features
-- **Automated DNA replication measurement**: DN-AI can automatically measure the amount of DNA replication in fluorescence microscopy images. We use a deep learning model to segment the images and measure the amount of DNA replication.
-- **User-friendly interface**: DN-AI provides a web-based user-friendly interface that allows users to easily upload images and view the results. Both jpeg and tiff images are supported.
-- **Batch processing**: DN-AI can process multiple images at once, making it easy to analyze large datasets. It also supports comparing ratios between different batches of images.
-## Installation
-DN-AI relies on Python. We recommend installing its latest version (3.10 or higher) and using a virtual environment to avoid conflicts with other packages.
-### Prerequisites
-Before installing DN-AI, make sure you have the following prerequisites installed:
-- [Python 3.10 or higher](https://www.python.org/downloads/)
-- [pip](https://pip.pypa.io/en/stable/installation/) (Python package installer)
-### Python Package
-To install DN-AI as a Python package, you can use pip:
-```bash
-pip install git+https://github.com/ClementPla/DeepFiberQ.git
-```
-### Graphical User Interface (GUI)
-To run the DN-AI graphical user interface, you can use the following command:
-```bash
-DNAI
-```
-Make sure you are running this command in the terminal where you have installed DN-AI. This will start a local web server and you will see output similar to:
-Then open your web browser and go to `http://localhost:8501` to access the DN-AI interface.
-Screenshots of the GUI:
-![DN-AI GUI](imgs/screenshot.png)
-### Docker
-A Docker image is available for DN-AI. You can pull the image from Docker Hub:
-```bash
-docker pull clementpla/dnafiber
-```
-### Google Colab
-We also provide a Google Colab notebook for DN-AI. You can access it [here](https://colab.research.google.com/github/ClementPla/DeepFiberQ/blob/main/Colab/DNA_Fiber_Q.ipynb).

+---
+title: DNAI
+emoji: 🚀
+colorFrom: red
+colorTo: red
+sdk: docker
+app_port: 8501
+tags:
+- streamlit
+pinned: false
+short_description: DNA Fiber semantic segmentation for replication assessment
+license: mit
+---
+# DN-AI
+This is the official repository for DN-AI, an automated tool for measurement of differentiated DNA replication in fluorescence microscopy images.
+DN-AI offers different solutions for biologists to measure DNA replication in fluorescence microscopy images, without requiring programming skills. See the [Installation](#installation) section for instructions on how to install DN-AI.
+## Features
+- **Automated DNA replication measurement**: DN-AI can automatically measure the amount of DNA replication in fluorescence microscopy images. We use a deep learning model to segment the images and measure the amount of DNA replication.
+- **User-friendly interface**: DN-AI provides a web-based user-friendly interface that allows users to easily upload images and view the results. Both jpeg and tiff images are supported.
+- **Batch processing**: DN-AI can process multiple images at once, making it easy to analyze large datasets. It also supports comparing ratios between different batches of images.
+## Installation
+DN-AI relies on Python. We recommend installing its latest version (3.10 or higher) and using a virtual environment to avoid conflicts with other packages.
+### Prerequisites
+Before installing DN-AI, make sure you have the following prerequisites installed:
+- [Python 3.10 or higher](https://www.python.org/downloads/)
+- [pip](https://pip.pypa.io/en/stable/installation/) (Python package installer)
+### Python Package
+To install DN-AI as a Python package, you can use pip:
+```bash
+pip install git+https://github.com/ClementPla/DeepFiberQ.git
+```
+### Graphical User Interface (GUI)
+To run the DN-AI graphical user interface, you can use the following command:
+```bash
+DNAI
+```
+Make sure you are running this command in the terminal where you have installed DN-AI. This will start a local web server and you will see output similar to:
+Then open your web browser and go to `http://localhost:8501` to access the DN-AI interface.
+Screenshots of the GUI:
+![DN-AI GUI](imgs/screenshot.png)
+### Docker
+A Docker image is available for DN-AI. You can pull the image from Docker Hub:
+```bash
+docker pull clementpla/dnafiber
+```
+### Google Colab
+We also provide a Google Colab notebook for DN-AI. You can access it [here](https://colab.research.google.com/github/ClementPla/DeepFiberQ/blob/main/Colab/DNA_Fiber_Q.ipynb).