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Browse files- Makefile +27 -0
- app.py +27 -0
- examples-jpg/example_image1.png +0 -0
- examples-jpg/example_image2.jpg +0 -0
- examples-jpg/example_image3.jpg +0 -0
- requirements.txt +1 -0
Makefile
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install:
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pip install --upgrade pip &&\
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pip install -r requirements.txt
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test:
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python -m pytest -vvv --cov=hello --cov=greeting \
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--cov=smath --cov=web tests
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python -m pytest --nbval notebook.ipynb #tests our jupyter notebook
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#python -m pytest -v tests/test_web.py #if you just want to test web
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debug:
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python -m pytest -vv --pdb #Debugger is invoked
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one-test:
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python -m pytest -vv tests/test_greeting.py::test_my_name4
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debugthree:
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#not working the way I expect
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python -m pytest -vv --pdb --maxfail=4 # drop to PDB for first three failures
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format:
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black *.py
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lint:
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pylint --disable=R,C *.py
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all: install lint test format
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app.py
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import gradio as gr
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transformer_model = "huggingface/google/vit-base-patch16-224"
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Instructuction = "Browse the internet to download any unique image"
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title="Simple Image classification playground"
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description = "Drop an image to classify, then observe how the machine learning model\
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is able to show the percentages for different class predictions made."
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article = """
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- Select an image from the examples provided as demo image
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- Click submit button to make Image classification
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- Click clear button to try new Image for classification
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"""
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# Gradio app design
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interface = gr.Interface.load(
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transformer_model,
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title = title,
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description = description,
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article = article,
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allow_flagging = "never",
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theme = "peach",
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live = False,
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examples=["examples-jpg/example_image1.png",
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"examples-jpg/example_image2.jpg",
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"examples-jpg/example_image3.jpg"]
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)
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interface.launch()
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examples-jpg/example_image1.png
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examples-jpg/example_image2.jpg
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examples-jpg/example_image3.jpg
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requirements.txt
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gradio
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