| Common reasons Spaces that used to work now fail on rebuild. Spaces reinstalls unpinned dependencies at their |
| latest versions on every rebuild, so old code meets new libraries. |
|
|
| ### gradio |
| - 4.0 removed `gr.inputs.*` / `gr.outputs.*` (use `gr.Textbox`, `gr.Image`, ...), `.style(...)`, `gr.Box` |
| (use `gr.Group`), `gr.Variable` (use `gr.State`), `gr.Image(source=..., tool=...)` (now `sources=[...]`). |
| - `launch(enable_queue=...)` and `Interface(enable_queue=...)` were removed; call `.queue()` instead. |
| - `queue(concurrency_count=N)` was removed in 4.0; use `queue(default_concurrency_limit=N)`. |
| - `Interface(allow_flagging=...)` was renamed `flagging_mode` in 5.0. |
| - `gr.update(...)` in place of `gr.Component.update(...)` (the classmethod `.update` was removed in 4.0). |
| - 6.0 moved app-level options such as `css` from the `Blocks`/`Interface` constructor to `launch()` (gradio prints |
| a UserWarning naming them), and `allow_flagging` is no longer accepted. Check the warning text in the log. |
| - Spaces whose README pins the newest `sdk_version` get gradio 6 even if the code was written for 3.x. |
| - In 5.x, `gr.Chatbot` defaults changed; tuple-format history is deprecated in favour of `type="messages"`. |
| - Old gradio 3.x pins can break against newer `huggingface_hub`, `httpx` (0.28 removed `proxies=`), |
| `pydantic` 2, `fastapi`/`starlette`, or `jinja2`. Either pin those transitive packages or bump `sdk_version`. |
| - gradio's `audioop`: Python 3.13 removed the stdlib `audioop` module; pydub falls back to `pyaudioop`. |
| Fix: add `audioop-lts` to requirements (provides `audioop` on 3.13+) or pin `python_version: "3.10"`. |
|
|
| ### huggingface_hub |
| - 1.0 removed `cached_download` (use `hf_hub_download`), `HfFolder` (use `get_token` / `login`), |
| `Repository` (use `HfApi.upload_*` / `snapshot_download`), `InferenceApi` (use `InferenceClient`), and the |
| `use_auth_token=` argument (use `token=`). Libraries that import these (old diffusers, old gradio, |
| old sentence-transformers) need upgrading or `huggingface_hub<1.0` pinned. |
| |
| ### torch / torchvision |
| - torch 2.6 made `torch.load(weights_only=True)` the default; old checkpoints raise |
| `UnpicklingError` / `WeightsUnpickler error`. For a checkpoint the Space author trusts, pass |
| `weights_only=False`, or pin `torch<2.6`. |
| - torchvision 0.17 removed `torchvision.transforms.functional_tensor` (breaks `basicsr`, used by GFPGAN / |
| Real-ESRGAN). Patch the import to `torchvision.transforms.functional` or pin `torchvision<0.17`. |
| |
| ### numpy |
| - numpy 2 breaks extensions compiled against numpy 1 (`numpy.core.multiarray failed to import`, |
| `numpy.dtype size changed`, `_ARRAY_API not found`). Pin `numpy<2` unless the extensions are upgraded. |
| - `np.float`, `np.int`, `np.bool`, `np.object` were removed in 1.24; use the builtins. |
| |
| ### others |
| - `datasets` 3/4 removed `LargeList` re-exports and changed loading scripts (`trust_remote_code`). |
| - `openai` 1.0 removed `openai.ChatCompletion`/`openai.Completion` (use the client object). |
| - `transformers` drops long-deprecated modules and kwargs; pin to the version era of the code if it fails on import. |
| - `setuptools` 80+ no longer provides `pkg_resources` in some setups; pin `setuptools<81` if `pkg_resources` is missing. |
| - `tomli`: Python 3.11+ has `tomllib`; on 3.10 `tomli` must be installed explicitly if a package expects it. |
| |
