[EAGLE-5371] Fix predictions methods

[luv-bansal]

What

Issue

Model predictions are failing when using generate_by_bytes and predict_by_bytes methods to make predictions with any community model except for our own model that is configured with a dedicated compute_cluster_id and nodepool_id.

This happens because the generate_by_bytes and predict_by_bytes methods use the model’s user_id to retrieve the compute_cluster_id and nodepool_id resources, but these resources cannot be found under the model’s user_id.

Now user has to pass their user_id in these prediction methods to work

Why

How

Tests

Notes

[github-actions]

Package	Line Rate	Health
clarifai	43%	❌
clarifai.cli	65%	➖
clarifai.client	67%	➖
clarifai.client.auth	69%	➖
clarifai.constants	100%	✔
clarifai.datasets	100%	✔
clarifai.datasets.export	80%	✔
clarifai.datasets.upload	75%	➖
clarifai.datasets.upload.loaders	37%	❌
clarifai.models	100%	✔
clarifai.modules	0%	❌
clarifai.rag	72%	➖
clarifai.runners	9%	❌
clarifai.runners.models	16%	❌
clarifai.runners.utils	57%	➖
clarifai.schema	100%	✔
clarifai.urls	80%	✔
clarifai.utils	77%	➖
clarifai.utils.evaluation	67%	➖
clarifai.workflows	94%	✔
Summary	60% (3845 / 6381)	➖

Minimum allowed line rate is 50%

[sainivedh]

lgtm for now as temp. fix