add test for multimodal inference

tests/cli/test_multimodal_inference.py

@@ -1,26 +1,26 @@
-# from pathlib import Path
+from pathlib import Path
 
-# import pytest
-# from typer.testing import CliRunner
+import pytest
+from typer.testing import CliRunner
 
-# from tests.constants import FIXTURES_PATH
-# from turbo_alignment.cli import app
-# from turbo_alignment.settings.pipelines.inference.multimodal import (
-#     MultimodalInferenceExperimentSettings,
-# )
+from tests.constants import FIXTURES_PATH
+from turbo_alignment.cli import app
+from turbo_alignment.settings.pipelines.inference.multimodal import (
+    MultimodalInferenceExperimentSettings,
+)
 
-# runner = CliRunner()
+runner = CliRunner()
 
 
-# @pytest.mark.parametrize(
-#     'config_path',
-#     [
-#         FIXTURES_PATH / 'configs/inference/multimodal/llama_llava_clip_pickle.json',
-#     ],
-# )
-# def test_multimodal_inference_mlp_with_preprocessing(config_path: Path):
-#     result = runner.invoke(
-#         app, ['inference_multimodal', '--inference_settings_path', str(config_path)], catch_exceptions=False
-#     )
-#     assert result.exit_code == 0
-#     assert MultimodalInferenceExperimentSettings.parse_file(config_path).save_path.is_dir()
+@pytest.mark.parametrize(
+    'config_path',
+    [
+        FIXTURES_PATH / 'configs/inference/multimodal/llama_llava_clip_pickle.json',
+    ],
+)
+def test_multimodal_inference_mlp_with_preprocessing(config_path: Path):
+    result = runner.invoke(
+        app, ['inference_multimodal', '--inference_settings_path', str(config_path)], catch_exceptions=False
+    )
+    assert result.exit_code == 0
+    assert MultimodalInferenceExperimentSettings.parse_file(config_path).save_path.is_dir()