Spaces:
Sleeping
Sleeping
patrickerichsen
commited on
Commit
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ab30774
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Parent(s):
f0c0a77
init
Browse files- .gitignore +1 -0
- README.md +4 -2
- app.py +21 -4
- examples/clam.jpg +0 -0
- examples/scuba_diver.jpg +0 -0
- examples/turtle.jpg +0 -0
- export.pkl +3 -0
- requirements.txt +96 -0
.gitignore
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flagged
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README.md
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---
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title: ScubaSpotter
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colorFrom: blue
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sdk: gradio
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license: apache-2.0
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---
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title: ScubaSpotter
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emoji: 🤿
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colorFrom: blue
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sdk: gradio
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license: apache-2.0
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---
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```python
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python app.py
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```
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app.py
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import gradio as gr
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import gradio as gr
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from fastai.vision.all import *
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title = "ScubaSpotter 🤿"
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description = "An image classifier for underwater marine life, including scuba divers themselves. Trained on the [Sea Animals Image Dataset](https://www.kaggle.com/datasets/vencerlanz09/sea-animals-image-dataste)."
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examples = ['./examples/clam.jpg', './examples/scuba_diver.jpg', './examples/turtle.jpg']
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learn = load_learner('export.pkl')
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labels = learn.dls.vocab
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def predict(img):
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img = PILImage.create(img)
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pred,pred_idx,probs = learn.predict(img)
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return {labels[i]: float(probs[i]) for i in range(len(labels))}
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def most_confident_prediction(img):
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img = PILImage.create(img)
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pred, pred_idx, probs = learn.predict(img)
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predictions = {labels[i]: float(probs[i]) for i in range(len(labels))}
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most_confident_prediction = max(predictions.items(), key=lambda x: x[1])
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return {most_confident_prediction[0]: float(most_confident_prediction[1])}
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gr.Interface(fn=most_confident_prediction, inputs="image", outputs="label", title=title,description=description,examples=examples).launch(share=True)
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examples/clam.jpg
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examples/scuba_diver.jpg
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examples/turtle.jpg
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export.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:486828594daf8863628b22c5e80517b3a0bf6c3856aff3578482dd7d644ad28c
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size 47160653
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requirements.txt
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aiofiles==23.2.1
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altair==5.2.0
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annotated-types==0.6.0
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anyio==4.3.0
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attrs==23.2.0
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blis==0.7.11
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catalogue==2.0.10
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certifi==2024.2.2
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charset-normalizer==3.3.2
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click==8.1.7
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cloudpathlib==0.16.0
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colorama==0.4.6
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confection==0.1.4
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contourpy==1.2.0
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cycler==0.12.1
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cymem==2.0.8
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exceptiongroup==1.2.0
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fastai==2.7.14
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fastapi==0.110.0
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fastcore==1.5.29
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fastdownload==0.0.7
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fastprogress==1.0.3
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ffmpy==0.3.2
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filelock==3.13.1
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fonttools==4.49.0
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fsspec==2024.2.0
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gradio==4.21.0
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gradio_client==0.12.0
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h11==0.14.0
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httpcore==1.0.4
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httpx==0.27.0
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huggingface-hub==0.21.4
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idna==3.6
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importlib_resources==6.3.0
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Jinja2==3.1.3
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joblib==1.3.2
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jsonschema==4.21.1
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jsonschema-specifications==2023.12.1
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kiwisolver==1.4.5
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langcodes==3.3.0
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markdown-it-py==3.0.0
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MarkupSafe==2.1.5
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matplotlib==3.8.3
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mdurl==0.1.2
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mpmath==1.3.0
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murmurhash==1.0.10
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networkx==3.2.1
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numpy==1.26.4
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orjson==3.9.15
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packaging==24.0
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pandas==2.2.1
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pillow==10.2.0
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preshed==3.0.9
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pydantic==2.6.4
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pydantic_core==2.16.3
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pydub==0.25.1
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Pygments==2.17.2
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pyparsing==3.1.2
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python-dateutil==2.9.0.post0
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python-multipart==0.0.9
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pytz==2024.1
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PyYAML==6.0.1
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referencing==0.33.0
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requests==2.31.0
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rich==13.7.1
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rpds-py==0.18.0
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ruff==0.3.2
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scikit-learn==1.4.1.post1
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scipy==1.12.0
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semantic-version==2.10.0
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shellingham==1.5.4
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six==1.16.0
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smart-open==6.4.0
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sniffio==1.3.1
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spacy==3.7.4
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spacy-legacy==3.0.12
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spacy-loggers==1.0.5
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srsly==2.4.8
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starlette==0.36.3
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sympy==1.12
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thinc==8.2.3
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threadpoolctl==3.3.0
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tomlkit==0.12.0
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toolz==0.12.1
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torch==2.2.1
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torchvision==0.17.1
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tqdm==4.66.2
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typer==0.9.0
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typing_extensions==4.10.0
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tzdata==2024.1
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urllib3==1.26.6
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uvicorn==0.28.0
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wasabi==1.1.2
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weasel==0.3.4
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websockets==11.0.3
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zipp==3.18.0
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