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Adonai Vera
commited on
Commit
·
305eb2c
1
Parent(s):
594fb4e
Model in private repo
Browse files- .DS_Store +0 -0
- README 2.md +12 -0
- README 3.md +12 -0
- app.py +35 -0
- examples/.DS_Store +0 -0
- examples/CS.jpg +0 -0
- examples/GI.jpg +0 -0
- examples/PP.jpg +0 -0
- examples/RC.jpg +0 -0
- flagged/image/d97b9ae054eab1bd10dc/PP.jpg +0 -0
- flagged/log.csv +7 -0
- requirements.txt +96 -0
.DS_Store
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Binary file (6.15 kB). View file
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README 2.md
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---
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title: Ofwat Material Classification Demo
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emoji: 🔥
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colorFrom: green
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colorTo: yellow
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sdk: gradio
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sdk_version: 4.7.1
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app_file: app.py
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pinned: false
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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README 3.md
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---
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title: Ofwat Defects Classification Demo
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emoji: 😻
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colorFrom: gray
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colorTo: red
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sdk: gradio
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sdk_version: 4.7.1
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app_file: app.py
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pinned: false
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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app.py
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from turtle import title
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import gradio as gr
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from transformers import pipeline
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from PIL import Image
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# Initialize the pipeline with your model
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pipe = pipeline("image-classification", model="SubterraAI/ofwat_cleaner_classification")
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def classify_image(image):
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# Convert the input image to PIL format
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PIL_image = Image.fromarray(image).convert('RGB')
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# Classify the image using the pipeline
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res = pipe(PIL_image)
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# Extract labels and scores
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return {dic["label"]: dic["score"] for dic in res}
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# Create the Gradio interface
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iface = gr.Interface(
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classify_image,
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"image",
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"label",
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examples=[
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["examples/CS.jpg"],
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["examples/GI.jpg"],
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["examples/PP.jpg"],
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["examples/RC.jpg"]
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],
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description="Upload an image to classify its material.",
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title="Cleaner Classification with AI by Subterra"
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)
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# Launch the interface
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iface.launch()
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examples/.DS_Store
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Binary file (6.15 kB). View file
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examples/CS.jpg
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examples/GI.jpg
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examples/PP.jpg
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examples/RC.jpg
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flagged/image/d97b9ae054eab1bd10dc/PP.jpg
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flagged/log.csv
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image,output 0,output 1,flag,username,timestamp
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"{""path"":""flagged/image/d97b9ae054eab1bd10dc/PP.jpg"",""url"":""http://127.0.0.1:7860/file=/private/var/folders/5q/yl8pmxm116g6r3k8fd9gk74m0000gn/T/gradio/12885a897d79141c54ccb542582449159242eaa0/PP.jpg"",""size"":null,""orig_name"":""PP.jpg"",""mime_type"":null}","{""label"":""VC"",""confidences"":[{""label"":""VC"",""confidence"":0.7706952691078186},{""label"":""PVC"",""confidence"":0.20648105442523956},{""label"":""PE"",""confidence"":0.005161861423403025},{""label"":""PF"",""confidence"":0.004196972120553255},{""label"":""CO"",""confidence"":0.0034184197429567575}]}","| Prefix | Full Name |
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| ------ | --------- |
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| CS | Carbon Steel |
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| GI | Galvanized Iron |
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| PP | Polypropylene |
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| RC | Reinforced Concrete |",,,2023-11-27 15:26:38.548865
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requirements.txt
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accelerate==0.24.1
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aiofiles==23.2.1
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aiohttp==3.9.0
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aiosignal==1.3.1
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altair==5.1.2
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annotated-types==0.6.0
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anyio==3.7.1
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async-timeout==4.0.3
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attrs==23.1.0
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certifi==2023.11.17
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charset-normalizer==3.3.2
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click==8.1.7
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colorama==0.4.6
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contourpy==1.2.0
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cycler==0.12.1
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datasets==2.4.0
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dill==0.3.5.1
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evaluate==0.4.1
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exceptiongroup==1.2.0
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ExifRead==3.0.0
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fastapi==0.104.1
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ffmpy==0.3.1
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filelock==3.13.1
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fonttools==4.45.1
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frozenlist==1.4.0
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fsspec==2023.10.0
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gradio==4.7.1
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gradio_client==0.7.0
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h11==0.14.0
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httpcore==1.0.2
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httpx==0.25.2
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huggingface-hub==0.19.4
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idna==3.4
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importlib-resources==6.1.1
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Jinja2==3.1.2
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joblib==1.3.2
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jsonschema==4.20.0
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jsonschema-specifications==2023.11.1
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kiwisolver==1.4.5
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markdown-it-py==3.0.0
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MarkupSafe==2.1.3
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matplotlib==3.8.2
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mdurl==0.1.2
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mpmath==1.3.0
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multidict==6.0.4
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multiprocess==0.70.13
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networkx==3.2.1
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numpy==1.26.2
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orjson==3.9.10
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packaging==23.2
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pandas==2.1.3
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Pillow==10.1.0
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psutil==5.9.6
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pyarrow==14.0.1
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pyarrow-hotfix==0.6
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pydantic==2.5.2
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pydantic_core==2.14.5
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pydub==0.25.1
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Pygments==2.17.2
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pyparsing==3.1.1
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python-dateutil==2.8.2
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python-multipart==0.0.6
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pytz==2023.3.post1
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PyYAML==6.0.1
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referencing==0.31.0
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regex==2023.10.3
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requests==2.31.0
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responses==0.18.0
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rich==13.7.0
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rpds-py==0.13.1
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safetensors==0.4.0
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scikit-learn==1.3.2
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scipy==1.11.4
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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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sniffio==1.3.0
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starlette==0.27.0
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sympy==1.12
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threadpoolctl==3.2.0
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tokenizers==0.15.0
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tomlkit==0.12.0
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toolz==0.12.0
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torch==2.1.1
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torchvision==0.16.1
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tqdm==4.66.1
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transformers @ git+https://github.com/huggingface/transformers@c5be38cd27bee92be73c73ba09aec8bedf841423
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typer==0.9.0
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typing_extensions==4.8.0
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tzdata==2023.3
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urllib3==2.1.0
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uvicorn==0.24.0.post1
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websockets==11.0.3
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xxhash==3.4.1
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yarl==1.9.3
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zipp==3.17.0
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