Merge pull request #6 from spirosmaggioros/main

Remove html report and some changes on readme

.github/workflows/macos_test_cases.yml

@@ -20,6 +20,7 @@ jobs:
           miniconda-version: "latest"
       - name: Install dependencies
         run: |
+          python -m pip cache purge
           pip install -r requirements.txt
       - name: pipeline test for vTest1 using spare
         run: |

.github/workflows/ubuntu_test_cases.yml

@@ -20,6 +20,7 @@ jobs:
           miniconda-version: "latest"
       - name: Install dependencies
         run: |
+          python -m pip cache purge
           pip install -r requirements.txt
       - name: pipeline test for vTest1 using spare
         run: |

README.md

@@ -32,9 +32,9 @@ NiChart is a comprehensive framework designed to revolutionize neuroimaging rese
 
 ## Example Usage
 
-1. `python3 run.py --dir_input input folder --dir_output output_folder --studies 1 --version my_version --cores 4 --conda 0` # this will run the pipeline using 4 cores without initializing a new conda environment with an input folder containing 1 study
-2. `python3 run.py --dir_input input folder --dir_output output_folder --studies 2 --version my_version --cores 2 --conda 1` # this will run the pipeline using 2 cores initializing a new conda environment with an input folder containing 2 studies
-3. `python3 run.py --dir_input input folder --dir_output output_folder --studies 2 --version my_version --cores 2 --conda 1 --dry_run 1` # this will perform a dry run for the same parameters
+1. `python3 run.py --dir_input input folder --dir_output output_folder --studies 1 --version my_version --cores 4 --conda 0` this will run the pipeline using 4 cores without initializing a new conda environment with an input folder containing 1 study
+2. `python3 run.py --dir_input input folder --dir_output output_folder --studies 2 --version my_version --cores 2 --conda 1` this will run the pipeline using 2 cores initializing a new conda environment with an input folder containing 2 studies
+3. `python3 run.py --dir_input input folder --dir_output output_folder --studies 2 --version my_version --cores 2 --conda 1 --dry_run 1` this will perform a dry run for the same parameters
 ---
 
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