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hattack_predictor.py

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+# -*- coding: utf-8 -*-
+"""
+Created on Mon Feb 27 16:17:01 2023
+
+@author: soham
+"""
+
+import streamlit as st
+import numpy as np
+import pandas as pd
+import joblib
+import sklearn
+
+def predict(data):
+    clf = joblib.load("clf.sav")
+    data=np.array(data).reshape(1,-1)
+    return clf.predict(data)
+
+
+
+st.title("Mortality predictor")
+
+st.header("Using heart attack data to predict the possibility of you dying in the said follow up period")
+
+st.subheader("Kindly enter your details so that we can give you your predictions")
+
+first_name,last_name = st.columns(2)
+
+f_name=first_name.text_input("First Name")
+l_name=last_name.text_input("Last Name")
+
+button=st.button("Start")
+
+if button:
+    st.write(f"Welcome {f_name}")
+
+#####################################
+
+# now we let the user pass in parameters 
+
+# Age, Anaemia, Creatnine_phosphokinase,diabetes,
+# ejection_fraction,high_blood_pressure,platelets,
+# Serum_creatinine, serum_sodium, sex, smoking
+# time, Death_event (target)
+
+#For anaemia,diabetes,high_blood_pressure,sex,smoking we need to use a dict
+
+yes_no_bool = {"Yes":1,"No":0}
+male_female_bool = {"Male":1,"Female":0}
+
+st.write("-------------------------------------------")
+
+age,anaemia,creatinine_phosphokinase = st.columns(3)
+
+age = age.number_input("Enter your age",min_value=10.00,max_value=100.00) # Maybe add some limits here
+anaemia = anaemia.radio("Do you have anaemia",["Yes","No"])
+anaemia = yes_no_bool[anaemia]
+
+creatinine_phosphokinase= creatinine_phosphokinase.number_input("CPK enzyme levels (mcg/L)",step=1)
+
+
+st.write("---------------------------------------------")
+
+diabetes,ejection_fraction,high_blood_pressure = st.columns(3)
+
+diabetes = diabetes.radio("Do you have diabetes",["Yes","No"])
+diabetes = yes_no_bool[diabetes]
+
+ejection_fraction = ejection_fraction.number_input("Percentage of blood leaving",step=1,min_value=0,max_value=100)
+high_blood_pressure = high_blood_pressure.radio("Do you have Hypertension",["Yes","No"])
+high_blood_pressure = yes_no_bool[high_blood_pressure]
+
+
+st.write("---------------------------------------------")
+
+platelets,serum_creatinine,serum_sodium = st.columns(3)
+
+platelets = platelets.number_input("Platelets in the blood")
+serum_creatinine= serum_creatinine.number_input("Level of creatinine (mg/dL)")
+serum_sodium=serum_sodium.number_input("Level of sodium in the blood (mEq/L)",step=1)
+
+
+st.write("---------------------------------------------")
+
+sex,smoking,time = st.columns(3)
+
+sex = sex.radio("Sex",["Male","Female"])
+sex = male_female_bool[sex]
+
+smoking = smoking.radio("Do you smoke?",["Yes","No"])
+smoking = yes_no_bool[smoking]
+
+time=time.number_input("Follow up period",step=1)
+
+st.write("---------------------------------------------")
+
+    
+data_instance=[age,anaemia,creatinine_phosphokinase,diabetes,
+               ejection_fraction,high_blood_pressure,platelets,
+               serum_creatinine,serum_sodium,sex,smoking,time]
+
+
+st.write("#### Predict the chances of a death event")
+
+prediction_converter = {0:"Less probability of death",1:"More probability of death"}
+
+if st.button("Predict"):
+    prediction=predict(data_instance)
+    prediction=prediction_converter[prediction[0]]
+    
+    st.write(prediction)
+
+
+
+
+
+
+
+
+
+
+
+
+
+

requirements.txt

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+altair==4.2.2
+attrs==22.2.0
+blinker==1.5
+cachetools==5.3.0
+certifi==2022.12.7
+charset-normalizer==3.0.1
+click==8.1.3
+colorama==0.4.6
+contourpy==1.0.7
+cycler==0.11.0
+decorator==5.1.1
+entrypoints==0.4
+fonttools==4.38.0
+gitdb==4.0.10
+GitPython==3.1.31
+idna==3.4
+importlib-metadata==6.0.0
+Jinja2==3.1.2
+joblib==1.2.0
+jsonschema==4.17.3
+kiwisolver==1.4.4
+markdown-it-py==2.2.0
+MarkupSafe==2.1.2
+matplotlib==3.7.0
+mdurl==0.1.2
+numpy==1.24.2
+packaging==23.0
+pandas==1.5.3
+Pillow==9.4.0
+protobuf==3.20.3
+pyarrow==11.0.0
+pydeck==0.8.0
+Pygments==2.14.0
+Pympler==1.0.1
+pyparsing==3.0.9
+pyrsistent==0.19.3
+python-dateutil==2.8.2
+pytz==2022.7.1
+pytz-deprecation-shim==0.1.0.post0
+requests==2.28.2
+rich==13.3.1
+scikit-learn==1.2.1
+scipy==1.10.1
+semver==2.13.0
+six==1.16.0
+sklearn==0.0.post1
+smmap==5.0.0
+streamlit==1.19.0
+threadpoolctl==3.1.0
+toml==0.10.2
+toolz==0.12.0
+tornado==6.2
+typing_extensions==4.5.0
+tzdata==2022.7
+tzlocal==4.2
+urllib3==1.26.14
+validators==0.20.0
+watchdog==2.3.0
+zipp==3.15.0