Update conda and mamba installations

Author: danifranco

index.md

@@ -116,30 +116,14 @@ You have three different options to install BiaPy. Choose one or another dependi
 
 {% tabs command_line_installation %}
 
-{% tab command_line_installation Option 1: Conda + pip %}
+{% tab command_line_installation Option 1: Conda %}
 
 To use BiaPy via the command line, you will need to set up a ``conda`` environment. To do this, you will first need to install <a href="https://docs.conda.io/projects/conda/en/stable/" target="_blank" rel="noopener noreferrer">Conda</a>. Then you need to create a ``conda`` environment <a href="/add_ins/#open_terminal">through a terminal</a>:
 
 ```bash
-conda create -n BiaPy_env python=3.10
-conda activate BiaPy_env
-```
-
-Then you will need to install <a href="https://pypi.org/project/biapy/" target="_blank" rel="noopener noreferrer">BiaPy package</a> and <a href="https://pytorch.org/get-started/locally/" target="_blank" rel="noopener noreferrer">Pytorch</a>: 
-
-```bash
-# Pytorch installation with GPU support: Pytorch 2.4.0 + CUDA 11.8
-pip install torch==2.4.0 torchvision==0.19.0 --index-url https://download.pytorch.org/whl/cu118 
-
-# Pytorch installation with ONLY CPU support: Pytorch 2.4.0 
-pip install torch==2.4.0 torchvision==0.19.0 --index-url https://download.pytorch.org/whl/cpu
-
-# Finally install BiaPy
-pip install biapy
+conda create -n biapy-env -c conda-forge biapy
 ```
 
-The PyPI package does not install <a href="https://pytorch.org/get-started/locally/" target="_blank" rel="noopener noreferrer">Pytorch</a> because there is no option to build that package specifying exactly the CUDA version you want to use. There are a few solutions to set up ``pyproject.toml`` with poetry and specify the CUDA version, as discussed <a href="https://github.com/python-poetry/poetry/issues/6409" target="_blank" rel="noopener noreferrer">here</a>, but then PyPI package can not be built (as stated <a href="https://peps.python.org/pep-0440/#direct-references" target="_blank" rel="noopener noreferrer">here</a>).
-
 <!-- command_line_installation option 1 -->
 {% endtab %}
 
@@ -154,45 +138,10 @@ If you don't have ``conda`` installed you can download <a href="https://github.c
 conda install mamba -n base -c conda-forge
 ```
 
-Afterwards, create a new <a href="https://docs.conda.io/projects/conda/en/stable/" target="_blank" rel="noopener noreferrer">Conda</a> environment with Python 3.10: 
-
-```bash
-mamba create -n BiaPy_env python=3.10
-mamba activate BiaPy_env
-```
-
-Now you need to install <a href="https://pytorch.org/get-started/locally/" target="_blank" rel="noopener noreferrer">Pytorch</a> and related packages. Double check <a href="https://pytorch.org/get-started/locally/" target="_blank" rel="noopener noreferrer">Pytorch's official page</a> for its specific installation. For example, to install the lastest version of <a href="https://pytorch.org/get-started/locally/" target="_blank" rel="noopener noreferrer">Pytorch</a> with ``conda`` installation in Windows OS under CUDA 12.1: 
-
-```bash
-mamba install pytorch torchvision pytorch-cuda=12.1 -c pytorch -c nvidia
-```
-
-Alternatively, for macOS it would be like this:
-
-```bash
-mamba install pytorch::pytorch torchvision -c pytorch
-```
-
-Install BiaPy Dependencies: 
-
-```bash    
-mamba install pytz asciitree tzdata typer tqdm torchinfo tifffile threadpoolctl
-mamba install six Shapely scipy ruamel.yaml.clib pyparsing protobuf numcodecs lazy_loader kiwisolver
-mamba install joblib h5py fonttools fastremap fasteners cycler contourpy zarr=2.16.1 scikit-learn=1.4.0
-mamba install scikit-image ruamel.yaml python-dateutil pydot=1.4.2 pandas matplotlib xarray imgaug yaml
-mamba install bioimageio.spec bioimageio.core=0.9.0
-```
-
-Install packages not available on conda-forge, so install it via pip: 
-
-```bash 
-pip install fill-voids pytorch_msssim opencv-python opencv-python-headless imagecodecs==2024.1.1 "numpy>=2" pooch tensorboardX==2.6.2.2 yacs==0.1.8 edt==2.3.2
-```
-
-Install BiaPy: 
+Afterwards, create a new <a href="https://docs.conda.io/projects/conda/en/stable/" target="_blank" rel="noopener noreferrer">Conda</a> environment with BiaPy: 
 
 ```bash
-pip install --no-deps biapy
+mamba create -n biapy-env -c conda-forge biapy
 ```
 
 <!-- command_line_installation option 2 -->