Steps to convert the code from Notebook to run with Ray on GKE

Decorate the function which needs to be run as remote function in Ray workers
```
import ray
@ray.remote(num_cpus=1)
```

Create the run time environment with the libraries needed by remote function

runtime_env = {"pip": ["google-cloud-storage==2.16.0", "spacy==3.7.4", "jsonpickle==3.0.3"]}

Initialize the Ray with the Ray cluster created & pass the runtime environment along
```
ray.init("ray://"+RAY_CLUSTER_HOST, runtime_env=runtime_env)``
```

Get remote object using ray.get() method

results = ray.get([get_clean_df.remote(res[i]) for i in range(len(res))])

After completing the execution, shutdown Ray clusters
```
ray.shutdown()
```