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Add upload_to_shared: push results to HuggingFriends generated_data/<model>_<variant>
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Fix misleading H100 text in log (actual GPU is GPU_TYPE/L40S)
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Add clean_frames: delete video/ frame dirs from volume (keep mp4+prompt)
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Default extract_frames=False (judge reads mp4); HF gets mp4+prompt only
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Upload: exclude video/ frames from HF dataset (too many small files)
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Add --upload: push each source results to HF dataset from cloud
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Defaults for production: GPU=L40S, keep_prob=0.4, model_key=genie; per-sample timing
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Default keep_prob=0.4
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Fix: chdir to repo so GE relative class paths resolve (in-process inference)
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Align output layout to partner (task/episode/1 + prompt/ + video frames); --view all|head
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Batch pipeline: load-once + parallel shards + resumable + deterministic hash sampling (matches partner run_local.py)
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Fix: uninstall deepspeed in image (not needed for inference, breaks import without CUDA_HOME)
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Add --n_chunk CLI arg to control video length
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Remove README_RUN.md
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Add GE-Base Modal inference code (ge_modal_app.py + README_RUN.md)
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initial commit
