Fix Python 3.9 compatibility - replace union syntax | with Union

- Replace all `Type | None` syntax with `Union[Type, None]`
- Add typing.Union imports where needed
- Ensures compatibility with Python 3.9.13 on HuggingFace Spaces

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <[email protected]>

.python-version

@@ -1 +1 @@
-3.13
+3.12.11

src/services/models/flower_classification.py

@@ -3,7 +3,7 @@ Flower classification service using ConvNeXt and CLIP models.
 """
 
 import os
-from typing import Any
+from typing import Any, Union
 
 import torch
 from PIL import Image
@@ -88,8 +88,8 @@ class FlowerClassificationService:
 
     def identify_flowers(
         self,
-        image: Image.Image | None,
-        candidate_labels: list[str] | None = None,
+        image: Union[Image.Image, None],
+        candidate_labels: Union[list[str], None] = None,
         top_k: int = 7,
         min_score: float = 0.12,
     ) -> tuple[list[list[Any]], str]:

src/services/models/image_generation.py

@@ -1,5 +1,7 @@
 """Image generation service using SDXL models."""
 
+from typing import Union
+
 import numpy as np
 import torch
 from diffusers import AutoPipelineForText2Image
@@ -89,7 +91,7 @@ class ImageGenerationService:
         steps: int = 4,
         width: int = 1024,
         height: int = 1024,
-        seed: int | None = None,
+        seed: Union[int, None] = None,
     ) -> Image.Image:
         """Generate an image from a text prompt."""
         if seed is None or seed < 0:

src/services/training/dataset.py

@@ -3,6 +3,7 @@ Dataset class for flower training data.
 """
 
 import os
+from typing import Union
 
 import torch
 from PIL import Image
@@ -15,7 +16,7 @@ class FlowerDataset(Dataset):
     """Dataset for flower classification training."""
 
     def __init__(
-        self, image_dir: str, processor, flower_labels: list[str] | None = None
+        self, image_dir: str, processor, flower_labels: Union[list[str], None] = None
     ):
         self.image_paths = []
         self.labels = []

src/ui/french_style/french_style_tab.py

@@ -1,6 +1,7 @@
 """
 French Style tab UI components and logic.
 """
+from typing import Union
 
 import gradio as gr
 from PIL import Image
@@ -68,8 +69,8 @@ class FrenchStyleTab:
         return "🔄 Processing... Please wait while we analyze your flower image...", ""
 
     def analyze_and_generate(
-        self, image: Image.Image | None
-    ) -> tuple[Image.Image | None, str, str]:
+        self, image: Union[Image.Image, None]
+    ) -> tuple[Union[Image.Image, None], str, str]:
         """Analyze uploaded flower image and generate French-style arrangement."""
         if image is None:
             return None, "Please upload an image", ""

src/ui/generate/generate_tab.py

@@ -1,6 +1,7 @@
 """
 Generate tab UI components and logic.
 """
+from typing import Union
 
 import gradio as gr
 from PIL import Image
@@ -65,7 +66,7 @@ class GenerateTab:
 
     def generate_image(
         self, prompt: str, steps: int, width: int, height: int, seed: int
-    ) -> Image.Image | None:
+    ) -> Union[Image.Image, None]:
         """Generate an image from the given parameters."""
         try:
             return image_generator.generate(  # type: ignore

src/ui/identify/identify_tab.py

@@ -2,7 +2,7 @@
 Identify tab UI components and logic.
 """
 
-from typing import Any
+from typing import Any, Union
 
 import gradio as gr
 from PIL import Image
@@ -84,7 +84,7 @@ class IdentifyTab:
 
     def identify_flowers(
         self,
-        image: Image.Image | None,
+        image: Union[Image.Image, None],
         candidate_labels: list[str],
         top_k: int,
         min_score: float,
@@ -97,6 +97,6 @@ class IdentifyTab:
             min_score=min_score,
         )
 
-    def set_image(self, image: Image.Image | None) -> Image.Image | None:
+    def set_image(self, image: Union[Image.Image, None]) -> Union[Image.Image, None]:
         """Set the image for identification (used by other tabs)."""
         return image

src/utils/color_utils.py

@@ -1,6 +1,7 @@
 """
 Color analysis utilities.
 """
+from typing import Union
 
 import numpy as np
 from PIL import Image
@@ -8,7 +9,7 @@ from sklearn.cluster import KMeans
 
 
 def extract_dominant_colors(
-    image: Image.Image | None, num_colors: int = 5
+    image: Union[Image.Image, None], num_colors: int = 5
 ) -> tuple[list[str], np.ndarray]:
     """Extract dominant colors from an image using k-means clustering."""
     if image is None: