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README.md

@@ -146,7 +146,7 @@ The result image also shows the detected bounding boxes and confidence values.
 
 ```text
 Carnavalita
-Kimo-Cono
+Kimo-COno
 Squizz
 Oreo
 Moro

app.py

@@ -115,8 +115,13 @@ def upload_training_images(files):
     saved = 0
     skipped = []
     for f in files:
-        path = Path(getattr(f, "path", getattr(f, "name", f)))
         try:
+            # Gradio 6 may return FileData objects or plain dictionaries.
+            if isinstance(f, dict):
+                raw_path = f.get("path") or f.get("name") or f.get("filepath")
+            else:
+                raw_path = getattr(f, "path", None) or getattr(f, "name", None) or f
+            path = Path(raw_path)
             raw = path.read_bytes()
             if len(raw) > MAX_IMAGE_MB * 1024 * 1024:
                 skipped.append(f"{path.name}: over {MAX_IMAGE_MB} MB")
@@ -406,7 +411,7 @@ with gr.Blocks(title="Ice Cream Dataset + Counter") as demo:
 
     with gr.Tab("1 · Dataset"):
         gr.Markdown("### Upload training images")
-        files = gr.Files(file_count="multiple", file_types=["image"], label="Images")
+        files = gr.Files(file_count="multiple", file_types=["image"], type="filepath", label="Images")
         upload_btn = gr.Button("Save Images", variant="primary")
         upload_msg = gr.Markdown()
         # Dataset selector