remove some logs

pyproject.toml

@@ -127,9 +127,9 @@ post-install-commands = [
 [tool.hatch.envs.default.scripts]
 docs = "mkdocs serve -a localhost:8001 {args}"
 fmt = "pre-commit run --all --all-files"
-test-prod = "pytest tests/production {args}"
+test-dev = "pytest tests/production {args}"
 test-ci = "pytest tests/production --server https://openpredict.ci.transltr.io {args}"
-test-itrb-prod = "pytest tests/production --server https://openpredict.transltr.io {args}"
+test-prod = "pytest tests/production --server https://openpredict.transltr.io {args}"
 compile = "pip-compile --extra dev --extra test --extra train -o requirements.txt pyproject.toml"
 compile-test = "pip-compile --extra dev --extra test --extra test-prod -o requirements-tests.txt pyproject.toml"
 fix-permission = "sudo chown -R $(id -u):$(id -g) models data"

src/openpredict_model/predict.py

@@ -68,18 +68,14 @@ def get_predictions(request: PredictInput) -> PredictOutput:
     trapi_to_supported, supported_to_trapi = resolve_ids_with_nodenormalization_api(
         request.subjects + request.objects
     )
-    log.info(trapi_to_supported)
-    log.info(supported_to_trapi)
 
     labelled_predictions = []
     for subject in subjects:
         supported_subject = trapi_to_supported.get(subject, subject)
-        log.info(supported_subject)
 
         # classifier: Predict OMIM-DrugBank
         # TODO: improve when we will have more classifier
         predictions_array = query_omim_drugbank_classifier(supported_subject, request.options.model_id)
-        log.info(predictions_array)
 
         if request.options.min_score:
             predictions_array = [