Create app.py

app.py

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+# -*- coding: utf-8 -*-
+"""
+Diabetes Prediction Web App
+"""
+
+import numpy as np
+import pickle
+import streamlit as st
+
+
+# loading the saved model
+loaded_model = pickle.load(open('LogisticRegression_model.pkl', 'rb'))
+
+
+# creating a function for Prediction
+
+def diabetes_prediction(input_data):
+    
+
+    # changing the input_data to numpy array
+    input_data_as_numpy_array = np.asarray(input_data)
+
+    # reshape the array as we are predicting for one instance
+    input_data_reshaped = input_data_as_numpy_array.reshape(1,-1)
+
+    prediction = loaded_model.predict(input_data_reshaped)
+    print(prediction)
+
+    if (prediction[0] == 0):
+      return 'The person is not diabetic'
+    else:
+      return 'The person is diabetic'
+  
+    
+  
+def main():
+    
+    # giving a title
+    st.title('Diabetes Prediction Web App')
+    
+    
+    # getting the input data from the user
+    
+    Pregnancies = st.text_input('Number of Pregnancies')
+    Glucose = st.text_input('Glucose Level')
+    BloodPressure = st.text_input('Blood Pressure Value')
+    SkinThickness = st.text_input('Skin Thickness Value')
+    Insulin = st.text_input('Insulin Level')
+    BMI = st.text_input('BMI Value')
+    DiabetesPedigreeFunction = st.text_input('Diabetes Pedigree Function Value')
+    Age = st.text_input('Age of the Person')
+    
+    
+        # code for Prediction
+    diagnosis = ''
+
+    # creating a button for Prediction
+
+    if st.button('Diabetes Test Result'):
+        try:
+            # Convert input data to floating-point numbers with error handling
+            input_data = [
+                float(Pregnancies),
+                float(Glucose),
+                float(BloodPressure),
+                float(SkinThickness),
+                float(Insulin),
+                float(BMI),
+                float(DiabetesPedigreeFunction),
+                float(Age)
+            ]
+            diagnosis = diabetes_prediction(input_data)
+        except ValueError as e:
+            diagnosis = "Invalid input. Please enter numeric values for all fields."
+
+    st.success(diagnosis)
+
+if __name__ == '__main__':
+    main()