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app.py

@@ -581,16 +581,16 @@ def load_sar_image(filepath):
     return Image.open(filepath).convert('RGB')
 
 
-def translate_sar(image, num_steps, overlap, enhance, progress=gr.Progress()):
+def translate_sar(image, num_steps, overlap, enhance):
     """Main translation function."""
     global model
     
     if model is None:
-        progress(0, desc="Loading model...")
+        print("Loading model...")
         model = E3DiffHighRes()
         model.load_model()
     
-    progress(0.1, desc="Processing image...")
+    print("Processing image...")
     
     # Handle file upload
     if isinstance(image, str):
@@ -599,21 +599,17 @@ def translate_sar(image, num_steps, overlap, enhance, progress=gr.Progress()):
     w, h = image.size
     print(f"Input size: {w}x{h}")
     
-    # Progress callback
-    def update_progress(p):
-        progress(0.1 + 0.8 * p, desc=f"Translating... {int(p*100)}%")
-    
     # Translate
     start = time.time()
     result = model.translate_full_resolution(
         image, 
         num_steps=num_steps, 
         overlap=overlap,
-        progress_callback=update_progress
+        progress_callback=None
     )
     elapsed = time.time() - start
     
-    progress(0.9, desc="Post-processing...")
+    print("Post-processing...")
     
     # Convert to PIL
     result_pil = Image.fromarray((result * 255).astype(np.uint8))
@@ -626,7 +622,7 @@ def translate_sar(image, num_steps, overlap, enhance, progress=gr.Progress()):
     tiff_path = tempfile.mktemp(suffix='.tiff')
     result_pil.save(tiff_path, format='TIFF', compression='lzw')
     
-    progress(1.0, desc="Complete!")
+    print("Complete!")
     
     info = f"Processed in {elapsed:.1f}s | Output: {result_pil.size[0]}x{result_pil.size[1]}"
     
@@ -634,7 +630,7 @@ def translate_sar(image, num_steps, overlap, enhance, progress=gr.Progress()):
 
 
 # Create Gradio interface
-with gr.Blocks(title="E3Diff: SAR-to-Optical Translation", theme=gr.themes.Soft()) as demo:
+with gr.Blocks(title="E3Diff: SAR-to-Optical Translation") as demo:
     gr.Markdown("""
     # 🛰️ E3Diff: High-Resolution SAR-to-Optical Translation