making hot-dog or not sample app
Browse files- app.py +12 -4
- requirements.txt +80 -0
app.py
CHANGED
@@ -1,9 +1,17 @@
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import gradio as gr
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def greet(name):
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return "Hello " + name + "!!"
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import gradio as gr
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from transformers import pipeline
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pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
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def predict(image):
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predictions = pipeline(image)
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return {p["label"]: p["score"] for p in predictions}
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gr.Interface(
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predict,
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inputs=gr.inputs.Image(label="Upload hot dog candidate", type="filepath"),
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outputs=gr.outputs.Label(num_top_classes=2),
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title="Hot Dog? Or Not?",
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).launch()
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requirements.txt
ADDED
@@ -0,0 +1,80 @@
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anyio==3.3.2
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appnope==0.1.2
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argon2-cffi==21.1.0
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async-generator==1.10
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attrs==21.2.0
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Babel==2.9.1
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backcall==0.2.0
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bleach==4.1.0
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certifi==2021.5.30
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cffi==1.14.6
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charset-normalizer==2.0.6
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contextvars==2.4
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cycler==0.10.0
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dataclasses==0.8
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decorator==5.1.0
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defusedxml==0.7.1
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dnspython==2.1.0
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entrypoints==0.3
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idna==3.2
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immutables==0.16
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importlib-metadata==4.8.1
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ipykernel==5.5.5
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ipython==7.16.1
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ipython-genutils==0.2.0
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jedi==0.18.0
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Jinja2==3.0.1
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json5==0.9.6
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jsonschema==3.2.0
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jupyter-client==7.0.4
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jupyter-core==4.8.1
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jupyter-server==1.11.0
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jupyterlab-pygments==0.1.2
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jupyterlab-server==2.8.2
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kiwisolver==1.3.1
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MarkupSafe==2.0.1
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matplotlib==3.3.4
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mistune==0.8.4
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nbclassic==0.3.2
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nbclient==0.5.4
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nbconvert==6.0.7
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nbformat==5.1.3
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nest-asyncio==1.5.1
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notebook==6.4.4
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numpy==1.19.5
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packaging==21.0
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pandocfilters==1.5.0
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parso==0.8.2
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pexpect==4.8.0
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pickleshare==0.7.5
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Pillow==8.3.2
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pip-autoremove==0.10.0
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prometheus-client==0.11.0
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prompt-toolkit==3.0.20
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ptyprocess==0.7.0
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pycparser==2.20
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Pygments==2.10.0
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PyMySQL==1.0.2
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pyparsing==2.4.7
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pyrsistent==0.18.0
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python-dateutil==2.8.2
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pytz==2021.1
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PyYAML==5.4.1
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pyzmq==22.3.0
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requests==2.26.0
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requests-unixsocket==0.2.0
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Send2Trash==1.8.0
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six==1.16.0
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sniffio==1.2.0
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terminado==0.12.1
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testpath==0.5.0
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tornado==6.1
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traitlets==4.3.3
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typing-extensions==3.10.0.2
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urllib3==1.26.7
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wcwidth==0.2.5
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webencodings==0.5.1
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websocket-client==1.2.1
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zipp==3.5.1
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transformers
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torch
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