Update app.py

app.py

@@ -427,6 +427,15 @@ def create_demo():
         if not files or len(files) < 2:
             return None, "❌ Please upload at least 2 images for stitching", None
         
+        # FIX: Extract file paths from tuples
+        file_paths = []
+        for f in files:
+            if isinstance(f, tuple):
+                # Gradio returns (file_path,)
+                file_paths.append(f[0])
+            else:
+                file_paths.append(f)
+        
         # Update configuration
         basic_stitcher.config['feature_extractor'] = feature_type
         basic_stitcher.config['matcher'] = matcher_type
@@ -435,23 +444,28 @@ def create_demo():
         basic_stitcher.config['ransac_threshold'] = ransac_thresh
         
         # Load images
-        images = [Image.open(f) for f in files]
-
+        images = [Image.open(f) for f in file_paths]
         
         # Process
         return basic_stitcher.stitch_images(images)
-    
+        
     def process_zip_with_metadata(zip_file, feature_type, matcher_type, use_clahe, detect_labels, ransac_thresh):
         """Process ZIP file containing images and metadata"""
         if not zip_file:
             return None, "❌ Please upload a ZIP file", None
         
+        # FIX: Extract file path from tuple
+        if isinstance(zip_file, tuple):
+            zip_path = zip_file[0]
+        else:
+            zip_path = zip_file
+        
         try:
             with tempfile.TemporaryDirectory() as tmpdir:
                 tmpdir_path = Path(tmpdir)
                 
                 # Extract ZIP
-                with zipfile.ZipFile(zip_file, 'r') as zip_ref:
+                with zipfile.ZipFile(zip_path, 'r') as zip_ref:
                     zip_ref.extractall(tmpdir_path)
                 
                 # Find images and metadata