PG1204 opened a new issue, #7047:
URL: https://github.com/apache/texera/issues/7047
### What happened?
The HuggingFace operator's task selector lists pipeline tasks the operator
can't actually run. `STATIC_TASK_OPTIONS` in
`frontend/src/app/workspace/component/hugging-face/hugging-face.component.ts`
(and the dynamic list fetched from HF's `/api/tasks`) include tasks that have
no corresponding `TaskCodegen`, e.g. `text-classification`,
`token-classification`, `translation`, `summarization`, `feature-extraction`,
`fill-mask`.
The operator only registers codegens for a fixed set of tasks
(`TextGenCodegen`, `ImageTaskCodegen`, `AudioTaskCodegen`, `MediaGenCodegen`,
`QaRankingCodegen`, see `registeredCodegens` in `HuggingFaceInferenceOpDesc`).
Any task outside that set falls through to `TextGenCodegen`, whose payload hits
the generic `{"inputs": prompt_value}` branch and whose parser only handles
`text-generation`. The result: the row's output cell gets a raw
`json.dumps(body)` of whatever the endpoint returned, with no indication the
task isn't supported. The unrecognized-task fallback is intentional as a safety
net (keeps codegen total), but the UI actively steering users into it is not.
Proposed fix: prune the task selector to the tasks that actually have a
codegen, and filter both `STATIC_TASK_OPTIONS` and the dynamic `/api/tasks`
result against a supported-task set. "Only show what works" is simpler and
clearer than showing unsupported tasks with a warning label. The supported set
currently lives implicitly in the Scala codegen registrations, so the frontend
needs its own copy of that list; the PR should keep the two in sync (and note
it) so a newly added codegen surfaces in the UI. Scope is frontend-only
(`hugging-face.component.ts` + its spec).
Supported tasks today (the allowed set): text-generation;
image-classification, object-detection, image-segmentation, image-to-text,
visual-question-answering, document-question-answering,
zero-shot-image-classification, image-text-to-text, image-to-image;
automatic-speech-recognition, audio-classification, text-to-speech;
text-to-image, text-to-video; question-answering, table-question-answering,
zero-shot-classification, sentence-similarity, text-ranking.
### How to reproduce?
1. Add a HuggingFace inference operator and open the task dropdown.
2. Select an unsupported task, e.g. `summarization` or `translation`, pick
any model, and
run the workflow.
3. The result column contains a raw JSON dump of the endpoint response
instead of a
task-appropriate result, and nothing warned that the task isn't supported.
### Version/Branch
1.3.0-incubating-SNAPSHOT (main)
### Commit Hash (Optional)
_No response_
### What browsers are you seeing the problem on?
_No response_
### Relevant log output
```shell
```
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