Deploy Karate Wiener (kimodo kata maker)

app.py

@@ -7182,7 +7182,9 @@ def _compose_single_move_logged_in(
             recs.append(r)
     recs.append(record)
     stitched = _stitch_records(recs)
-    spayload = _preview_payload_from_record(stitched)
+    # Ship the FULL frame count (no downsample) so the client's scrubber/timeline — which
+    # maps move seams in full-frame space — covers every move, including the one just added.
+    spayload = _preview_payload_from_record(stitched, max_frames=int(stitched["num_frames"]))
     spine_ids = list(prefix_ids) + [record["id"]]
     n = len(spine_ids)
     spayload["prompt"] = f"kata · {n} move{'' if n == 1 else 's'}"
@@ -7267,7 +7269,7 @@ def compose_ui_logged_in(
         recs.append(record)
         npz_last = npz_path
     stitched = _stitch_records(recs)
-    spayload = _preview_payload_from_record(stitched)
+    spayload = _preview_payload_from_record(stitched, max_frames=int(stitched["num_frames"]))
     spayload["prompt"] = f"storyboard · {len(recs)} moves"
     spayload["id"] = recs[-1]["id"]
     # Reuse the live viewer iframe (no reload): hand the server-stitched preview to the

deploy_out14.txt

@@ -558,3 +558,7 @@ variables + HF_TOKEN secret set
 
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+No files have been modified since last commit. Skipping to prevent empty commit.
+Uploaded: https://huggingface.co/spaces/build-small-hackathon/karate-wiener/commit/3769f6a027598ff9c5a3c345f0d4094436240199
+Space URL: https://huggingface.co/spaces/build-small-hackathon/karate-wiener
+restarting local gradio -> http://127.0.0.1:7860 (log: C:\Users\paulg\AppData\Local\Temp\kimodo_local_gradio.log)

deploy_out15.txt

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+dataset ready: build-small-hackathon/karate-wiener-animations
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+  copied viewer/clothing/beanie_green_sausage.glb
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+  copied viewer/clothing/kimono_sausage.glb
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+No files have been modified since last commit. Skipping to prevent empty commit.
+  uploaded viewer/textures/citizen_skin_color.png
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+No files have been modified since last commit. Skipping to prevent empty commit.
+It seems you are trying to upload a large folder at once. This might take some time and then fail if the folder is too large. For such cases, it is recommended to upload in smaller batches or to use `HfApi().upload_large_folder(...)`/`hf upload-large-folder` instead. For more details, check out https://huggingface.co/docs/huggingface_hub/main/en/guides/upload#upload-a-large-folder.
+  uploaded viewer/characters/unirig_citizen.glb
+space created: build-small-hackathon/karate-wiener
+variables + HF_TOKEN secret set
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