I'm new with containers and stuff, so I apologize in advance.

I trained a Vision model on GCP and exported it as a container (I followed this [here](https://medium.com/@juri.sarbach/how-to-deploy-your-automl-model-in-a-cost-effective-way-5efdd377d4d2)). However, when I host it on Cloud Run, I get an error 503.

```
The request failed because either the HTTP response was malformed or connection to the instance had an error.

```

I see lots of questions on here pertaining to high CPU usage or timeouts, but this happens immediately after a request is sent. Logs indicate that the container (and TF) is starting fine, but that's about it.

Is there any way to get more detailed output from a container? Something like how PHP has `display_errors` for 500s?

Input doesn't seem to change the outcome, but here's my body:

```json
{"instances":[{"image_bytes":{"b64":"<insert base64>"},"key":"5e6668d92b4c8.jpeg"}]}

```