Atualização
Browse filesHello everything is fine?
Firstly, I would like to thank you for your work, it was great! My name is Junior and I work in Brazilian agribusiness.
We are interested in the topic here in Brazil and, if possible, I would like to talk to you to expand the training of this model with Brazilian diseases. We would also like to do other morphological aspects. If you are interested in the project or know someone who has a recommendation, you will be very welcome to us.
To run the model on my machine I asked chatgpt to refactor the program so this would be the new version of the Gradio code to run currently.
I hope this helps and I would like to have the opportunity to speak to you at some point.
hugs
Junior.
- app.py +20 -9
- gitattributes +37 -0
- requirements.txt +123 -1
app.py
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import gradio as gr
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from fastai.
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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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title = "
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description = "
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article="<p style='text-align: center'><a href='https://www.
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gr.Interface(
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import gradio as gr
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from fastai.learner import load_learner
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from fastai.vision.all import *
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from gradio.components import Image, Label # Use Label para o output
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# ... (restante do seu código)
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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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title = "Agromarkers Classificador de Doença da Soja"
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description = "Uma classificador de doenças treinado por IA "
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article="<p style='text-align: center'><a href='https://www.agromarkers.com.br' target='_blank'>Home - Agromarkers</a></p>"
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output = Label(num_top_classes=3)
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gr.Interface(
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fn=predict,
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inputs=Image(type="pil", image_mode="RGB"),
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outputs=output, # Use Label para a saída
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title=title,
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description=description,
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article=article
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).launch(share=False)
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gitattributes
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*.7z filter=lfs diff=lfs merge=lfs -text
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*.arrow filter=lfs diff=lfs merge=lfs -text
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*.bin filter=lfs diff=lfs merge=lfs -text
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*.bz2 filter=lfs diff=lfs merge=lfs -text
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*.ckpt filter=lfs diff=lfs merge=lfs -text
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*.ftz filter=lfs diff=lfs merge=lfs -text
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*.gz filter=lfs diff=lfs merge=lfs -text
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*.h5 filter=lfs diff=lfs merge=lfs -text
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*.joblib filter=lfs diff=lfs merge=lfs -text
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*.lfs.* filter=lfs diff=lfs merge=lfs -text
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*.mlmodel filter=lfs diff=lfs merge=lfs -text
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*.model filter=lfs diff=lfs merge=lfs -text
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*.msgpack filter=lfs diff=lfs merge=lfs -text
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*.npy filter=lfs diff=lfs merge=lfs -text
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*.npz filter=lfs diff=lfs merge=lfs -text
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*.onnx filter=lfs diff=lfs merge=lfs -text
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*.ot filter=lfs diff=lfs merge=lfs -text
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*.parquet filter=lfs diff=lfs merge=lfs -text
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*.pb filter=lfs diff=lfs merge=lfs -text
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*.pickle filter=lfs diff=lfs merge=lfs -text
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*.pkl filter=lfs diff=lfs merge=lfs -text
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*.pt filter=lfs diff=lfs merge=lfs -text
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*.pth filter=lfs diff=lfs merge=lfs -text
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*.rar filter=lfs diff=lfs merge=lfs -text
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*.safetensors filter=lfs diff=lfs merge=lfs -text
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.tar.* filter=lfs diff=lfs merge=lfs -text
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*.tflite filter=lfs diff=lfs merge=lfs -text
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*.tgz filter=lfs diff=lfs merge=lfs -text
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*.wasm filter=lfs diff=lfs merge=lfs -text
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*.xz filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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examples/bacterial_blight.jpg filter=lfs diff=lfs merge=lfs -text
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examples/healthy.jpg filter=lfs diff=lfs merge=lfs -text
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examples/soybean_rust.jpg filter=lfs diff=lfs merge=lfs -text
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requirements.txt
CHANGED
@@ -1 +1,123 @@
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aiofiles==23.2.1
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altair==5.4.0
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annotated-types==0.7.0
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anyio==4.4.0
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attrs==24.2.0
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blinker==1.8.2
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blis==0.7.11
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cachetools==5.5.0
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catalogue==2.0.10
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certifi==2024.7.4
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charset-normalizer==3.3.2
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click==8.1.7
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cloudpathlib==0.18.1
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confection==0.1.5
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contourpy==1.2.1
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cycler==0.12.1
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cymem==2.0.8
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fastai==2.7.16
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fastapi==0.112.1
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fastcore==1.5.55
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fastdownload==0.0.7
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fastprogress==1.0.3
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ffmpy==0.4.0
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filelock==3.15.4
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fonttools==4.53.1
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fsspec==2024.6.1
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gitdb==4.0.11
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GitPython==3.1.43
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gradio==4.42.0
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gradio_client==1.3.0
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h11==0.14.0
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httpcore==1.0.5
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httpx==0.27.0
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huggingface-hub==0.24.6
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idna==3.7
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importlib_resources==6.4.4
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Jinja2==3.1.4
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joblib==1.4.2
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jsonschema==4.23.0
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jsonschema-specifications==2023.12.1
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kiwisolver==1.4.5
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langcodes==3.4.0
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language_data==1.2.0
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marisa-trie==1.2.0
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markdown-it-py==3.0.0
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MarkupSafe==2.1.5
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matplotlib==3.9.2
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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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narwhals==1.5.2
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networkx==3.3
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numpy==1.26.4
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nvidia-cublas-cu12==12.1.3.1
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nvidia-cuda-cupti-cu12==12.1.105
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nvidia-cuda-nvrtc-cu12==12.1.105
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nvidia-cuda-runtime-cu12==12.1.105
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nvidia-cudnn-cu12==9.1.0.70
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nvidia-cufft-cu12==11.0.2.54
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nvidia-curand-cu12==10.3.2.106
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nvidia-cusolver-cu12==11.4.5.107
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nvidia-cusparse-cu12==12.1.0.106
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nvidia-nccl-cu12==2.20.5
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nvidia-nvjitlink-cu12==12.6.20
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nvidia-nvtx-cu12==12.1.105
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orjson==3.10.7
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packaging==24.1
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pandas==2.2.2
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pillow==10.4.0
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preshed==3.0.9
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protobuf==5.27.3
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pyarrow==17.0.0
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pydantic==2.8.2
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pydantic_core==2.20.1
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pydeck==0.9.1
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pydub==0.25.1
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Pygments==2.18.0
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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==6.0.2
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referencing==0.35.1
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requests==2.32.3
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rich==13.7.1
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rpds-py==0.20.0
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ruff==0.6.2
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scikit-learn==1.5.1
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scipy==1.14.1
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semantic-version==2.10.0
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setuptools==73.0.1
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shellingham==1.5.4
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six==1.16.0
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smart-open==7.0.4
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smmap==5.0.1
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sniffio==1.3.1
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spacy==3.7.6
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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==0.38.2
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streamlit==1.37.1
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sympy==1.13.2
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tenacity==8.5.0
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thinc==8.2.5
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threadpoolctl==3.5.0
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toml==0.10.2
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tomlkit==0.12.0
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torch==2.4.0
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torchvision==0.19.0
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tornado==6.4.1
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tqdm==4.66.5
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triton==3.0.0
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typer==0.12.4
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typing_extensions==4.12.2
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tzdata==2024.1
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urllib3==2.2.2
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uvicorn==0.30.6
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wasabi==1.1.3
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watchdog==4.0.2
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weasel==0.4.1
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websockets==12.0
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wrapt==1.16.0
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