Upload tests/test_app.py with huggingface_hub

tests/test_app.py

@@ -0,0 +1,24 @@
+import pytest
+from mlplo.app import load_model_info, MODE_PRESETS
+from pathlib import Path
+import json
+
+def test_load_model_info_fallback():
+    info = load_model_info("facebook/bart-large-xsum")
+    assert "Fallback Model" in info
+    assert "facebook/bart-large-xsum" in info
+
+def test_load_model_info_local(tmp_path):
+    metrics_dir = tmp_path / "metrics"
+    metrics_dir.mkdir()
+    metrics_file = metrics_dir / "test_metrics.json"
+    metrics_file.write_text(json.dumps({"test_rouge1": 0.45, "test_rougeL": 0.40}))
+    
+    info = load_model_info(str(tmp_path))
+    assert "Local Checkpoint" in info
+    assert "ROUGE-1" in info
+    assert "0.45" in info
+
+def test_mode_presets():
+    assert "Quick Pulse" in MODE_PRESETS
+    assert "max_new_tokens" in MODE_PRESETS["Quick Pulse"]