* Extend Interface.from_pipeline() to support Transformers.js.py pipelines on Lite (wip: only object-detection in this commit)
* add changeset
* Add image-classification and image-segmentation
* Add zero-shot-image-classification and zero-shot-object-detection
* Add document-question-answering
* Add feature-extraction and fill-mask
* Add question-answering and summarization
* Fix an error message
* Add text2text-generation, text-classification, and text-generation
* Add translation andtranslation_xx_to_yy
* Add zero-shot-classification
* Add postprocess_takes_inputs to control the args passed to the postprocess function of each pipeline
* Add topk option to image-classification
* format_backend
* Add audio-classification, automatic-speech-recognition, and zero-shot-audio-classification
* Add image-to-text
* Add token-classification (with JSON component as an output. Is it correct?)
* Ignore import type failure of transformers_js_py
* Add image-feature-extraction
* Add image-to-image
* Add text-to-audio
* Add depth-estimation
* Remove `render=False`
* Reorder the if-blocks following the Transformers.js doc
* Update gradio/pipelines_utils.py
Co-authored-by: Abubakar Abid <abubakar@huggingface.co>
* Update gradio/pipelines_utils.py
Co-authored-by: Abubakar Abid <abubakar@huggingface.co>
* Fix feature-extraction demo
* Fix demo title
* Add guides/08_gradio-clients-and-lite/gradio-lite-and-transformers-js.md without contents
* Rename guides/08_gradio-clients-and-lite/*.md to fix the order
* Use pipeline.model.config._name_or_path for the demo title instead of pipeline.model.config.model_type
* Fix normal Interface.from_pipeline to use pipeline.model.config.name_or_path as the demo title
* Write an article about Gradio-Lite and Transformers.js
* Update the doc
* tweaks
* add changeset
---------
Co-authored-by: gradio-pr-bot <gradio-pr-bot@users.noreply.github.com>
Co-authored-by: Abubakar Abid <abubakar@huggingface.co>
