mirror of
https://github.com/gradio-app/gradio.git
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Merge pull request #551 from gradio-app/Accelerate-Tests
Accelerate Tests
This commit is contained in:
Ömer Faruk Özdemir
GitHub
commit
f932e3fe71
@ -40,10 +40,10 @@ jobs:
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- run:
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command: |
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. venv/bin/activate
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coverage run -m unittest
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coverage run -m pytest
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coverage xml
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- codecov/upload:
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file: 'coverage.xml'
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file: 'coverage.xml'
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- store_artifacts:
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path: /home/circleci/project/test/tmp
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destination: screenshots
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@ -31,15 +31,7 @@ bash scripts/build_frontend.sh
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bash scripts/install_test_requirements.sh
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```
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* Install chrome driver and chrome for selenium (necessary for tests)
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```
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https://sites.google.com/chromium.org/driver/
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```
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```
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https://www.google.com/chrome/
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```
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* Install [chrome driver](https://sites.google.com/chromium.org/driver/) and [chrome](https://www.google.com/chrome/) for selenium (necessary for tests)
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* Run the tests
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@ -1,9 +1,9 @@
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import pkg_resources
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from gradio.routes import get_state, set_state
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from gradio.flagging import *
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from gradio.interface import *
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from gradio.mix import *
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from gradio.flagging import FlaggingCallback, SimpleCSVLogger, CSVLogger, HuggingFaceDatasetSaver
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from gradio.interface import Interface, close_all, reset_all
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from gradio.mix import Parallel, Series
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current_pkg_version = pkg_resources.require("gradio")[0].version
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__version__ = current_pkg_version
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@ -94,6 +94,12 @@ class Interface:
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pipeline (transformers.Pipeline):
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Returns:
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(gradio.Interface): a Gradio Interface object from the given Pipeline
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Example usage:
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import gradio as gr
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from transformers import pipeline
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pipe = pipeline(model="lysandre/tiny-vit-random")
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gr.Interface.from_pipeline(pipe).launch()
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"""
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interface_info = load_from_pipeline(pipeline)
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kwargs = dict(interface_info, **kwargs)
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@ -3,7 +3,7 @@ if [ -z "$(ls | grep CONTRIBUTING.md)" ]; then
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echo "Please run the script from repo directory"
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exit -1
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else
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echo "Creating requirements under test/requirements.txt using requirements.in"
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echo "Creating requirements under test/requirements.txt using requirements.in. Please run this script from unix or wsl!"
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cd test
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pip install --upgrade pip-tools
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pip-compile
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@ -4,5 +4,5 @@ if [ -z "$(ls | grep CONTRIBUTING.md)" ]; then
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exit -1
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else
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echo "Running the tests"
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python -m unittest
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python -m pytest --cov=gradio --durations=20 --durations-min=1 test
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fi
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@ -4,5 +4,5 @@ if [ -z "$(ls | grep CONTRIBUTING.md)" ]; then
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exit -1
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else
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echo "Running the tests"
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python -m pytest --durations=0 test
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python -m pytest --cov=gradio --durations=20 --durations-min=0.1 test/local
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fi
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@ -1,3 +1,4 @@
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# Don't forget to run bash scripts/create_test_requirements.sh from unix or wsl when you update this file.
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IPython
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comet_ml
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coverage
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@ -10,3 +11,8 @@ shap
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pytest
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wandb
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huggingface_hub
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pytest-cov
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black
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isort
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flake8
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torch
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@ -8,10 +8,8 @@ absl-py==1.0.0
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# via
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# tensorboard
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# tensorflow
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alembic==1.7.5
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alembic==1.7.6
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# via mlflow
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appnope==0.1.2
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# via ipython
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asttokens==2.0.5
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# via stack-data
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astunparse==1.6.3
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@ -22,8 +20,10 @@ attrs==21.4.0
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# pytest
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backcall==0.2.0
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# via ipython
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black~=22.1
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# via ipython
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black==22.1.0
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# via
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# -r requirements.in
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# ipython
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cachetools==5.0.0
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# via google-auth
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certifi==2021.10.8
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@ -34,7 +34,7 @@ certifi==2021.10.8
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# urllib3
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cffi==1.15.0
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# via cryptography
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charset-normalizer==2.0.10
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charset-normalizer==2.0.11
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# via requests
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click==8.0.3
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# via
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@ -48,19 +48,19 @@ cloudpickle==2.0.0
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# via
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# mlflow
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# shap
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comet-ml==3.24.2
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comet-ml==3.25.0
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# via -r requirements.in
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configobj==5.0.6
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# via everett
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configparser==5.2.0
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# via wandb
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coverage==6.2
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# via -r requirements.in
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coverage[toml]==6.3.1
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# via
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# -r requirements.in
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# pytest-cov
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cryptography==36.0.1
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# via
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# pyopenssl
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# urllib3
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databricks-cli==0.16.2
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databricks-cli==0.16.4
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# via mlflow
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decorator==5.1.1
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# via ipython
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@ -68,9 +68,9 @@ docker==5.0.3
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# via mlflow
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docker-pycreds==0.4.0
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# via wandb
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dulwich==0.20.30
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dulwich==0.20.32
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# via comet-ml
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entrypoints==0.3
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entrypoints==0.4
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# via mlflow
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everett[ini]==3.0.0
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# via comet-ml
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@ -80,13 +80,15 @@ filelock==3.4.2
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# via
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# huggingface-hub
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# transformers
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flake8==4.0.1
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# via -r requirements.in
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flask==2.0.2
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# via
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# mlflow
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# prometheus-flask-exporter
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flatbuffers==2.0
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# via tensorflow
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gast==0.4.0
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gast==0.5.3
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# via tensorflow
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gitdb==4.0.9
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# via gitpython
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@ -94,7 +96,7 @@ gitpython==3.1.26
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# via
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# mlflow
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# wandb
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google-auth==2.4.0
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google-auth==2.6.0
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# via
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# google-auth-oauthlib
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# tensorboard
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@ -113,7 +115,9 @@ gunicorn==20.1.0
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h5py==3.6.0
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# via tensorflow
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huggingface-hub==0.4.0
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# via transformers
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# via
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# -r requirements.in
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# transformers
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idna==3.3
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# via
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# requests
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@ -128,6 +132,8 @@ iniconfig==1.1.1
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# via pytest
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ipython==8.0.1
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# via -r requirements.in
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isort==5.10.1
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# via -r requirements.in
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itsdangerous==2.0.1
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# via flask
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jedi==0.18.1
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@ -140,11 +146,11 @@ joblib==1.1.0
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# scikit-learn
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jsonschema==4.4.0
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# via comet-ml
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keras==2.7.0
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keras==2.8.0
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# via tensorflow
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keras-preprocessing==1.1.2
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# via tensorflow
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libclang==12.0.0
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libclang==13.0.0
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# via tensorflow
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llvmlite==0.38.0
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# via numba
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@ -158,13 +164,15 @@ markupsafe==2.0.1
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# mako
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matplotlib-inline==0.1.3
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# via ipython
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mlflow==1.23.0
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mccabe==0.6.1
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# via flake8
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mlflow==1.23.1
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# via -r requirements.in
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mypy-extensions==0.4.3
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# via black
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networkx==2.6.3
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# via scikit-image
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numba==0.55.0
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numba==0.55.1
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# via shap
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numpy==1.21.5
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# via
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@ -186,7 +194,7 @@ numpy==1.21.5
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# transformers
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nvidia-ml-py3==7.352.0
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# via comet-ml
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oauthlib==3.1.1
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oauthlib==3.2.0
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# via requests-oauthlib
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opt-einsum==3.3.0
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# via tensorflow
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@ -198,7 +206,7 @@ packaging==21.3
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# scikit-image
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# shap
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# transformers
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pandas==1.3.5
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pandas==1.4.0
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# via
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# mlflow
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# shap
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@ -212,7 +220,7 @@ pexpect==4.8.0
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# via ipython
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pickleshare==0.7.5
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# via ipython
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pillow==9.0.0
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pillow==9.0.1
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# via
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# imageio
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# scikit-image
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@ -220,15 +228,15 @@ platformdirs==2.4.1
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# via black
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pluggy==1.0.0
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# via pytest
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prometheus-client==0.12.0
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prometheus-client==0.13.1
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# via prometheus-flask-exporter
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prometheus-flask-exporter==0.18.7
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# via mlflow
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promise==2.3
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# via wandb
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prompt-toolkit==3.0.24
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prompt-toolkit==3.0.26
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# via ipython
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protobuf==3.19.3
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protobuf==3.19.4
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# via
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# mlflow
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# tensorboard
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@ -248,17 +256,25 @@ pyasn1==0.4.8
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# rsa
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pyasn1-modules==0.2.8
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# via google-auth
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pycodestyle==2.8.0
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# via flake8
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pycparser==2.21
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# via cffi
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pyflakes==2.4.0
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# via flake8
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pygments==2.11.2
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# via ipython
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pyopenssl==21.0.0
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pyopenssl==22.0.0
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# via urllib3
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pyparsing==3.0.7
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# via packaging
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pyrsistent==0.18.1
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# via jsonschema
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pytest==6.2.5
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pytest==7.0.0
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# via
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# -r requirements.in
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# pytest-cov
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pytest-cov==3.0.0
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# via -r requirements.in
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python-dateutil==2.8.2
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# via
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@ -294,7 +310,7 @@ requests==2.27.1
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# tensorboard
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# transformers
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# wandb
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requests-oauthlib==1.3.0
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requests-oauthlib==1.3.1
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# via google-auth-oauthlib
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requests-toolbelt==0.9.1
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# via comet-ml
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@ -306,7 +322,7 @@ scikit-image==0.19.1
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# via -r requirements.in
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scikit-learn==1.0.2
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# via shap
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scipy==1.7.3
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scipy==1.8.0
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# via
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# mlflow
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# scikit-image
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@ -314,9 +330,9 @@ scipy==1.7.3
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# shap
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selenium==4.0.0a6.post2
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# via -r requirements.in
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semantic-version==2.8.5
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semantic-version==2.9.0
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# via comet-ml
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sentry-sdk==1.5.3
|
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sentry-sdk==1.5.4
|
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# via wandb
|
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shap==0.40.0
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# via -r requirements.in
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@ -336,7 +352,6 @@ six==1.16.0
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# grpcio
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# keras-preprocessing
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# promise
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# pyopenssl
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# python-dateutil
|
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# querystring-parser
|
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# sacremoses
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@ -354,8 +369,6 @@ sqlparse==0.4.2
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# via mlflow
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stack-data==0.1.4
|
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# via ipython
|
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subprocess32==3.5.4
|
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# via wandb
|
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tabulate==0.8.9
|
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# via databricks-cli
|
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tensorboard==2.8.0
|
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@ -364,26 +377,29 @@ tensorboard-data-server==0.6.1
|
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# via tensorboard
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tensorboard-plugin-wit==1.8.1
|
||||
# via tensorboard
|
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tensorflow==2.7.0
|
||||
tensorflow==2.8.0
|
||||
# via -r requirements.in
|
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tensorflow-estimator==2.7.0
|
||||
# via tensorflow
|
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tensorflow-io-gcs-filesystem==0.23.1
|
||||
tensorflow-io-gcs-filesystem==0.24.0
|
||||
# via tensorflow
|
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termcolor==1.1.0
|
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# via
|
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# tensorflow
|
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# yaspin
|
||||
threadpoolctl==3.0.0
|
||||
tf-estimator-nightly==2.8.0.dev2021122109
|
||||
# via tensorflow
|
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threadpoolctl==3.1.0
|
||||
# via scikit-learn
|
||||
tifffile==2021.11.2
|
||||
tifffile==2022.2.2
|
||||
# via scikit-image
|
||||
tokenizers==0.10.3
|
||||
tokenizers==0.11.4
|
||||
# via transformers
|
||||
toml==0.10.2
|
||||
# via pytest
|
||||
tomli==1.2.3
|
||||
# via black
|
||||
tomli==2.0.0
|
||||
# via
|
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# black
|
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# coverage
|
||||
# pytest
|
||||
torch==1.10.2
|
||||
# via -r requirements.in
|
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tqdm==4.62.3
|
||||
# via
|
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# huggingface-hub
|
||||
@ -394,20 +410,21 @@ traitlets==5.1.1
|
||||
# via
|
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# ipython
|
||||
# matplotlib-inline
|
||||
transformers==4.15.0
|
||||
transformers==4.16.2
|
||||
# via -r requirements.in
|
||||
typing-extensions==3.10.0.2
|
||||
typing-extensions==4.0.1
|
||||
# via
|
||||
# black
|
||||
# huggingface-hub
|
||||
# tensorflow
|
||||
# torch
|
||||
urllib3[secure]==1.26.8
|
||||
# via
|
||||
# dulwich
|
||||
# requests
|
||||
# selenium
|
||||
# sentry-sdk
|
||||
wandb==0.12.9
|
||||
wandb==0.12.10
|
||||
# via -r requirements.in
|
||||
wcwidth==0.2.5
|
||||
# via prompt-toolkit
|
||||
@ -423,7 +440,6 @@ wheel==0.37.1
|
||||
# via
|
||||
# astunparse
|
||||
# tensorboard
|
||||
# tensorflow
|
||||
wrapt==1.13.3
|
||||
# via
|
||||
# comet-ml
|
||||
|
||||
@ -30,13 +30,11 @@ class TestHuggingFaceModelAPI(unittest.TestCase):
|
||||
def test_question_answering(self):
|
||||
model_type = "question-answering"
|
||||
interface_info = gr.external.get_huggingface_interface(
|
||||
"deepset/roberta-base-squad2", api_key=None, alias=model_type
|
||||
"lysandre/tiny-vit-random", api_key=None, alias=model_type
|
||||
)
|
||||
self.assertEqual(interface_info["fn"].__name__, model_type)
|
||||
self.assertIsInstance(interface_info["inputs"][0], gr.inputs.Textbox)
|
||||
self.assertIsInstance(interface_info["inputs"][1], gr.inputs.Textbox)
|
||||
self.assertIsInstance(interface_info["outputs"][0], gr.outputs.Textbox)
|
||||
self.assertIsInstance(interface_info["outputs"][1], gr.outputs.Label)
|
||||
self.assertIsInstance(interface_info["inputs"], gr.inputs.Image)
|
||||
self.assertIsInstance(interface_info["outputs"], gr.outputs.Label)
|
||||
|
||||
def test_text_generation(self):
|
||||
model_type = "text_generation"
|
||||
@ -246,11 +244,9 @@ class TestLoadInterface(unittest.TestCase):
|
||||
|
||||
class TestLoadFromPipeline(unittest.TestCase):
|
||||
def test_question_answering(self):
|
||||
p = transformers.pipeline("question-answering")
|
||||
io = gr.Interface.from_pipeline(p)
|
||||
output = io(
|
||||
"My name is Sylvain and I work at Hugging Face in Brooklyn",
|
||||
"Where do I work?",
|
||||
pipe = transformers.pipeline(model="sshleifer/bart-tiny-random")
|
||||
output = pipe(
|
||||
"My name is Sylvain and I work at Hugging Face in Brooklyn"
|
||||
)
|
||||
self.assertIsNotNone(output)
|
||||
|
||||
|
||||
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Block a user