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Daniel-Sousa
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0500aa4
1
Parent(s):
adeea9a
Update space
Browse files- Kidney_stones.pkl +3 -0
- app.py +36 -0
- requirements.txt +5 -0
Kidney_stones.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:2e96916cfaff34f24d6e6903ebf2560f5045395c239a4a44b8b28049b9c41678
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size 2514
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app.py
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import gradio as gr
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import pandas as pd
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import torch
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import torch.nn.functional as F
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from fastai.tabular.all import *
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import pickle
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with open('Kidney_stones.pkl', 'rb') as arquivo:
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modelo = pickle.load(arquivo)
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def calc_preds(coeffs, indeps):
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layers,consts = coeffs
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n = len(layers)
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res = indeps
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for i,l in enumerate(layers):
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res = res@l + consts[i]
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if i!=n-1: res = F.relu(res)
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return torch.sigmoid(res)
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def predict(Gravity, Ph, Osmo, Cond, Urea, Calc):
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input = torch.tensor([Gravity, Ph, Osmo, Cond, Urea, Calc], dtype=torch.float)
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pred = calc_preds(coeffs=modelo, indeps=input)
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return 'Kidney Stone' if pred.item() < 0.55 else 'No Kidney Stones'
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interface = gr.Interface(
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fn=predict,
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inputs=["number", "number", "number", "number", "number", "number"],
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outputs="text",
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layout="vertical",
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title="Verificador de Pedras nos Rins",
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description="Esse modelo é capaz de realizar uma análise com base nos dados da urina de uma pessoa e identificar se ela possui pedra nos rins",
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interpretation="default",
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enable_queue=True
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)
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interface.launch(share=True)
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requirements.txt
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pandas
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Pytorch
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Datasets
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torch
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pickle
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