feat: add FastAPI web interface for GIS classification

main.py

@@ -29,19 +29,19 @@ OUTPUT_PATH = os.path.join("output", "classified.tif")
 # Change strategy by uncommenting desired option:
 
 # Option 1: Random Forest (recommended for GIS)
-STRATEGY = RandomForestStrategy(
-    n_estimators=100,
-    max_depth=None,
-    random_state=42,
-)
-
-# # Option 2: Support Vector Machine
-# STRATEGY = SVMStrategy(
-#     kernel="linear",  # Fast prediction; use 'rbf' for better accuracy but much slower
-#     C=1.0,
+# STRATEGY = RandomForestStrategy(
+#     n_estimators=100,
+#     max_depth=None,
 #     random_state=42,
 # )
 
+# # Option 2: Support Vector Machine
+STRATEGY = SVMStrategy(
+    kernel="linear",  # Fast prediction; use 'rbf' for better accuracy but much slower
+    C=1.0,
+    random_state=42,
+)
+
 # Option 3: Logistic Regression
 # STRATEGY = LogisticRegressionStrategy(
 #     penalty="l2",