Update

Kidney_stones_2.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2908531802830404b5f4be981173ce60d201c87a642a12603abeff720fc8098f
+size 418601

app.py

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+import gradio as gr
+import pandas as pd
+import numpy as np
+import pickle
+
+with open('Kidney_stones_2.pkl', 'rb') as arquivo:
+    modelo = pickle.load(arquivo)
+
+def predict(gravity, ph, osmo, cond, urea, calc):
+    input = pd.DataFrame([[gravity, ph, osmo, cond, urea, calc]], 
+                         columns=['gravity', 'ph', 'osmo', 'cond', 'urea', 'calc'])
+    pred = modelo.predict(input)
+    
+    if pred[0] == 0:
+        return "No Kidney Stones"
+    return "Kidney Stones"
+
+interface = gr.Interface(
+    fn=predict,
+    inputs=["number", "number", "number", "number", "number", "number"],
+    outputs="text",
+    title="Verificador de Pedras nos Rins",
+    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",
+)
+
+interface.launch(share=True)

requirements.txt

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+fastai
+gradio
+pip
+pandas
+numpy
+scikit-learn==1.2.2
+pickle
+torch