Jean-François Knebel
commited on
Commit
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d6a75c1
1
Parent(s):
7ea2391
initilise
Browse files- Makefile +23 -0
- app.py +14 -0
- requirements.txt +4 -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 -vv --cov=hello --cov=greeting \
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--cov=smath --cov=web tests
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python -m pytest -nbval notebook.ipynb # test jupyter note book
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# python -m pytest -v tests/test_web.py # if you just wat to test wev
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debug:
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python -m pytest -vv --pdb
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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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format:
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black *.py
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lint :
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pylint --disable=R,C hello.py
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all: install lint test
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app.py
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from transformers import pipeline
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import gradio as gr
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model = pipeline("summarization")
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def predict(prompt):
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summary = model(prompt)[0]["summary_text"]
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return summary
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with gr.Blocks() as demo:
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textbox = gr.Textbox(placeholder = "Enter text block to summarize", lines = 4)
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gr.Interface(fn=predict, inputs=textbox, outputs="text")
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demo.launch()
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requirements.txt
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gradio
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transformers
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tensorflow
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tf-keras
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