Small Fix 0.3.11

Author: lambda-science

README.md

@@ -1,4 +1,4 @@
-![Twitter Follow](https://img.shields.io/twitter/follow/corentinm_py?style=social) ![Demo Version](https://img.shields.io/badge/Demo-https%3A%2F%2Flbgi.fr%2FMyoQuant%2F-9cf) ![PyPi](https://img.shields.io/badge/PyPi-https%3A%2F%2Fpypi.org%2Fproject%2Fmyoquant%2F-blueviolet) ![Pypi verison](https://img.shields.io/pypi/v/myoquant) ![PyPi Python Version](https://img.shields.io/pypi/pyversions/myoquant) ![PyPi Format](https://img.shields.io/pypi/format/myoquant) ![GitHub last commit](https://img.shields.io/github/last-commit/lambda-science/MyoQuant) ![GitHub](https://img.shields.io/github/license/lambda-science/MyoQuant)
+![Twitter Follow](https://img.shields.io/twitter/follow/corentinm_py?style=social) ![PyPi](https://img.shields.io/badge/PyPi-https%3A%2F%2Fpypi.org%2Fproject%2Fmyoquant%2F-blueviolet) ![Pypi verison](https://img.shields.io/pypi/v/myoquant) ![PyPi Python Version](https://img.shields.io/pypi/pyversions/myoquant) ![PyPi Format](https://img.shields.io/pypi/format/myoquant) ![GitHub last commit](https://img.shields.io/github/last-commit/lambda-science/MyoQuant) ![GitHub](https://img.shields.io/github/license/lambda-science/MyoQuant)
 
 # MyoQuant🔬: a tool to automatically quantify pathological features in muscle fiber histology images
 
@@ -14,7 +14,7 @@ MyoQuant🔬 is a command-line tool to automatically quantify pathological featu
 It is built using CellPose, Stardist, custom neural-network models and image analysis techniques to automatically analyze myopathy histology images.  
 Currently MyoQuant is capable of quantifying centralization of nuclei in muscle fiber with HE staining, anomaly in the mitochondria distribution in muscle fibers with SDH staining and the number of type 1 muscle fiber vs type 2 muscle fiber with ATP staining.
 
-An online demo with a web interface is available at [https://lbgi.fr/MyoQuant/](https://lbgi.fr/MyoQuant/). This project is free and open-source under the AGPL license, feel free to fork and contribute to the development.
+An online demo with a web interface is available at [https://huggingface.co/spaces/corentinm7/MyoQuant](https://huggingface.co/spaces/corentinm7/MyoQuant). This project is free and open-source under the AGPL license, feel free to fork and contribute to the development.
 
 #### _Warning: This tool is still in early phases and active development._
 

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "myoquant"
-version = "0.3.10"
+version = "0.3.11"
 description = "MyoQuant🔬: a tool to automatically quantify pathological features in muscle fiber histology images."
 authors = [{name="Corentin Meyer", email="[email protected]"}]
 maintainers = [{name="Corentin Meyer", email="[email protected]"}]

src/myoquant/streamlit/pyproject.toml

@@ -5,7 +5,7 @@ description = ""
 readme = "README.md"
 requires-python = "<3.13, >=3.12"
 dependencies = [
-    "myoquant>=0.3.10",
+    "myoquant>=0.3.11",
     "streamlit",
     "pandas",
     "numpy",