Fix gr.Interface.from_pipeline() to allow audio uploads and to display classification labels correctly
#8080
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Install Gradio from this PR pip install https://gradio-builds.s3.amazonaws.com/c7a99b6a98ebd8c1d30cb355bd371a87de8128b7/gradio-4.27.0-py3-none-any.whlInstall Gradio Python Client from this PR pip install "gradio-client @ git+https://github.com/gradio-app/gradio@c7a99b6a98ebd8c1d30cb355bd371a87de8128b7#subdirectory=client/python" |
🦄 change detectedThis Pull Request includes changes to the following packages.
With the following changelog entry.
Maintainers or the PR author can modify the PR title to modify this entry.
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whitphx
commented
Apr 19, 2024
whitphx
commented
Apr 19, 2024
| @@ -66,7 +59,7 @@ def is_transformers_pipeline_type(pipeline, class_name: str): | |||
| ), | |||
| "outputs": components.Label(label="Classification", render=False), | |||
| "preprocess": lambda i: {"images": i}, | |||
| "postprocess": lambda r: {i["label"].split(", ")[0]: i["score"] for i in r}, | |||
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This transforms a label name like "tiger, Panthera tigris" into just "tiger", which looks not good.
On main:
This change:
Sample code:
import gradio as gr
from transformers import pipeline
pipe = pipeline("image-classification", "google/vit-base-patch16-224")
demo = gr.Interface.from_pipeline(pipe)
demo.launch()Sample file to test: https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/tiger.jpg
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Yeah in the general case better to leave the labels as is
whitphx
requested review from
abidlabs,
aliabid94,
aliabd,
dawoodkhan82 and
freddyaboulton
abidlabs
approved these changes
Apr 19, 2024
|
I would just suggest using a more precise name for this PR since that is what shows up in the changelog |
Oh 👀 |
whitphx
changed the title
gr.Interface.from_pipeline() to allow audio uploads and to display classification labels correctly
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Description
During #8052, I found something.
Reference: first commit of
from_pipeline