Delete app.py

app.py

@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-"""app.ipynb
-
-Automatically generated by Colaboratory.
-
-Original file is located at
-    https://colab.research.google.com/drive/1I-y23tTTs_aMjSYwPa3Fk8Ywz8H8ZUgl
-
-#**GRADIO**
-"""
-
-!pip install -q gradio
-
-!pip install joblib
-
-import gradio as gr
-import joblib as jb
-
-def predict(sex, age, hypertension, heart_disease, ever_married, work_type, Residence_type, avg_glucose_level, bmi, smoking_status):
-    model = jb.load('model.pkl')
-    sex = str(sex)
-    age = int(age)
-    hypertension = str(hypertension)
-    heart_disease = str(heart_disease)
-    ever_married = str(ever_married)
-    work_type = str(work_type)
-    Residence_type = int(Residence_type)
-    avg_glucose_level   = float(avg_glucose_level  )
-    bmi = float(bmi)
-    smoking_status = str(smoking_status)
-
-
-    p = model.predict({{sex, age, hypertension, heart_disease, ever_married, work_type, Residence_type, avg_glucose_level, bmi, smoking_status}})[0]
-
-    return {"Não terá AVC": p[0], "Terá AVC": p[1]}
-
-demo = gr.Interface(fn=predict,
-                   inputs=[gr.Dropdown(choices=["female", "male"], type="index"),
-                          "number",
-                           gr.Dropdown(choices=["Não Hipertenso", "Hipertenso"], type="index"),
-                           gr.Dropdown(choices=["Não doença cardíaca", "Possui doença cardíaca"], type="index"),
-                           gr.Dropdown(choices=["Não casado(a)", "Casado(a)"], type="index"),
-                           gr.Dropdown(choices=["Nunca trabalhou", "filhos", "Emprego público", "Autônomo", "Privado"], type="index"),
-                           gr.Dropdown(choices=["Rural", "Urbana"], type="index"),
-                           "number",
-                           "number",
-                           gr.Dropdown(choices=["Nunca fumou", "Fuma"], type="index"),
-                          ],
-                    outputs="label")
-
-
-demo.launch(share=True)