update run workloads steps (#624)

benchmark_runner/jupyterlab/templates/run_workload/how_to_run_workload.md

@@ -0,0 +1,38 @@
+# To run a workload with custom parameters through JupyterLab terminal, follow these steps:
+
+1. Open the terminal
+
+```
+cd /notebooks/templates/run_workloads
+```
+
+2. Clone the repository if not already cloned: 
+
+```
+git clone https://github.com/redhat-performance/benchmark-runner
+or 
+update the repository with "git pull" if already cloned.
+```
+
+3. Change the directory to benchmark-runner:
+
+```
+cd benchmark-runner
+```
+
+4. Run the following command in the terminal:
+
+```
+PYTHONPATH=. python3 benchmark_runner/main/main.py "$@"
+```
+or
+
+```
+./run_benchmark.sh arg1 arg2
+```
+
+**Optional**: instead of arguments, set environment variables in benchmark_runner/main/environment_variables.py, e.g., ('WORKLOAD', 'vdbench_vm').
+
+**Optional**: For custom workload parameters, configure the templates in benchmark_runner/common/template_operations/templates.
+
+

benchmark_runner/jupyterlab/templates/run_workload/run_workload.sh

@@ -1,5 +1,4 @@
-# Follow the stops:
-# git clone https://github.com/redhat-performance/benchmark-runner
-# update environment variables i.e. ('WORKLOAD','vdbench_vm') in benchmark_runner/main/environment_variables.py
-# run from benchmark-runner root path
+!/bin/sh
+
 PYTHONPATH=. python3 benchmark_runner/main/main.py "$@"
+