Update app.py

app.py

@@ -2391,7 +2391,7 @@ def extract_images_from_pdf(pdf_stream: io.BytesIO):
         raise RuntimeError(f"❌ Error in extract_images_from_pdf: {str(e)}")
 
 # def similarity_matching(input_json_path: str, project_folder: str) -> str:
-def similarity_matching(sprites_data: str, project_folder: str) -> str:
+def similarity_matching(sprites_data: dict, project_folder: str) -> str: 
     """
     Finds the best matching assets for input sprites using a FAISS index and builds a Scratch project.
 
@@ -2412,10 +2412,15 @@ def similarity_matching(sprites_data: str, project_folder: str) -> str:
     #   1. PREPARE INPUT SPRITE IMAGES FROM BASE64 DATA    #
     # ==================================================== #
     # The input is a JSON string, so we first need to parse it.
-    sprites_data_dict = json.loads(sprites_data)
+    #sprites_data_dict = json.loads(sprites_data)
+    
+    # ...
+    # The 'sprites_data' variable is already a dictionary.
     
     pil_images = []
-    for sid, sprite in sprites_data_dict.items():
+    # Use sprites_data directly
+    for sid, sprite in sprites_data.items(): 
+    #for sid, sprite in sprites_data_dict.items():
         base64_string = sprite["base64"]
         # Decode the base64 string to bytes, then open as a PIL Image
         image_data = base64.b64decode(base64_string.split(',')[-1])