Upload app.py with huggingface_hub

app.py

@@ -1,5 +1,5 @@
 """
-E3Diff: SAR-to-Optical Translation - HuggingFace Space
+Axion: SAR-to-Optical Translation - HuggingFace Space
 Fixed for ZeroGPU with lazy loading
 """
 
@@ -82,7 +82,7 @@ def create_blend_weights(tile_size, overlap):
 
 
 def build_model(device):
-    """Build and load the E3Diff model."""
+    """Build and load the Axion model."""
     torch = get_torch()
     UNet, GaussianDiffusion = get_model_modules()
     from huggingface_hub import hf_hub_download
@@ -367,9 +367,9 @@ with gr.Blocks(title="Axion - SAR to Optical") as demo:
             gr.HTML("""
             <div style="font-size: 0.8rem; color: #666; padding: 8px 12px; background: rgba(255,255,255,0.03); border-radius: 6px; margin: 8px 0;">
                 <strong style="color: #888;">Input Guidelines:</strong><br>
-                • Use raw SAR imagery (single-band grayscale)<br>
-                • VV polarization preferred, VH also supported<br>
-                • Any resolution supported (processed in 256×256 tiles)
+                • Use raw SAR imagery (single-band grayscale)<br>
+                • VV polarization preferred, VH also supported<br>
+                • Any resolution supported (processed in 256×256 tiles)
             </div>
             """)
             with gr.Row():