suggest stringify method in readme and reflect changes in modal api

README.md

@@ -224,6 +224,8 @@ save it in the same `.env` file under the name **GCS_SERVICE_ACCOUNT_INFO**.
 Unfortunately we can't just copy/paste - we need to "stringify" the data. You
 should probably do this in Python or your preferred programming language by
 reading in the JSON file you saved, serializing to a string, and outputting.
+One simple way to do this is through the popular cli program jq:
+`cat YOUR_JSON | jq '@json'`.
 
 ### Configuring `cdsapi`
 

ai-models-modal/app.py

@@ -115,6 +115,6 @@ def download_model_assets():
 # Set up a storage volume for sharing model outputs between processes.
 # TODO: Explore adding a modal.Volume to cache model weights since it should be
 # much faster for loading them at runtime.
-volume = modal.NetworkFileSystem.persisted("ai-models-cache")
+volume = modal.NetworkFileSystem.from_name("ai-models-cache", create_if_missing=True)
 
 stub = modal.Stub(name="ai-models-for-all", image=inference_image)

ai-models-modal/main.py

@@ -6,6 +6,7 @@
 import shutil
 
 import modal
+from modal import enter
 from ai_models import model
 from tqdm import tqdm
 from tqdm.contrib.logging import logging_redirect_tqdm
@@ -294,7 +295,8 @@ def __init__(
 
         self.use_gfs = use_gfs
 
-    def __enter__(self):
+    @enter()
+    def __run_on_startup__(self):
         logger.info(f"   Model: {self.model_name}")
         logger.info(f"   Run initialization datetime: {self.model_init}")
         logger.info(f"   Forecast lead time: {self.lead_time}")