Update app.py

app.py

@@ -2,66 +2,134 @@ import streamlit as st
 import pandas as pd
 import plotly.express as px
 import matplotlib.pyplot as plt
+from datetime import datetime
 
-# Load patient data
-df = pd.read_csv('patient_data.csv')
-
-# Title and Description
-st.title('Patient Data Dashboard')
-st.write("""
-This dashboard provides an overview of patient health metrics for better monitoring and decision-making.
-""")
-
-# Sidebar for Patient Selection
-st.sidebar.header('Select Patient')
-patient_id = st.sidebar.selectbox('Patient ID', df['patient_id'].unique())
-
-# Filter Data for Selected Patient
-patient_data = df[df['patient_id'] == patient_id]
-
-# Display Patient Profile
-st.header('Patient Profile')
-st.write(f"Name: {patient_data['name'].values[0]}")
-st.write(f"Age: {patient_data['age'].values[0]}")
-st.write(f"Gender: {patient_data['gender'].values[0]}")
-st.write(f"Medical History: {patient_data['medical_history'].values[0]}")
-
-# Visualization of Vital Signs
-st.header('Vital Signs Over Time')
-
-# Line Chart for Heart Rate
-fig = px.line(patient_data, x='date', y='heart_rate', title='Heart Rate Over Time')
-st.plotly_chart(fig)
-
-# Line Chart for Blood Pressure
-fig = px.line(patient_data, x='date', y='blood_pressure', title='Blood Pressure Over Time')
-st.plotly_chart(fig)
-
-# Line Chart for Blood Glucose
-fig = px.line(patient_data, x='date', y='blood_glucose', title='Blood Glucose Over Time')
-st.plotly_chart(fig)
-
-# Dropdown for selecting specific visit details
-st.header('Previous Visit Details')
-selected_date = st.selectbox('Select Visit Date', patient_data['date'].unique())
-selected_visit = patient_data[patient_data['date'] == selected_date]
-
-st.write(f"**Visit Date:** {selected_date}")
-st.write(f"Heart Rate: {selected_visit['heart_rate'].values[0]}")
-st.write(f"Blood Pressure: {selected_visit['blood_pressure'].values[0]}")
-st.write(f"Blood Glucose: {selected_visit['blood_glucose'].values[0]}")
-
-# Alerts and Notifications
-st.header('Alerts')
-if selected_visit['heart_rate'].values[0] > 100:
-    st.error('High heart rate detected!')
-if selected_visit['blood_pressure'].values[0] > 140:
-    st.error('High blood pressure detected!')
-
-# Download Button for Patient Data
-st.download_button(
-    label="Download Patient Data as CSV",
-    data=patient_data.to_csv().encode('utf-8'),
-    file_name=f'patient_{patient_id}_data.csv',
-    mime='text/csv',
-)
+# Function to load patient data
+def load_data():
+    return pd.read_csv('patient_data.csv')
+
+# Function to save patient data
+def save_data(df):
+    df.to_csv('patient_data.csv', index=False)
+
+# Load the existing data
+df = load_data()
+
+# Sidebar for navigation
+st.sidebar.title("Navigation")
+options = ["View Patient Data", "Add New Patient", "Add New Visit"]
+choice = st.sidebar.selectbox("Choose an option", options)
+
+if choice == "View Patient Data":
+    # Sidebar for Patient Selection
+    st.sidebar.header('Select Patient')
+    patient_id = st.sidebar.selectbox('Patient ID', df['patient_id'].unique())
+
+    # Filter Data for Selected Patient
+    patient_data = df[df['patient_id'] == patient_id]
+
+    # Display Patient Profile
+    st.header('Patient Profile')
+    st.write(f"Name: {patient_data['name'].values[0]}")
+    st.write(f"Age: {patient_data['age'].values[0]}")
+    st.write(f"Gender: {patient_data['gender'].values[0]}")
+    st.write(f"Medical History: {patient_data['medical_history'].values[0]}")
+
+    # Visualization of Vital Signs
+    st.header('Vital Signs Over Time')
+
+    # Line Chart for Heart Rate
+    fig = px.line(patient_data, x='date', y='heart_rate', title='Heart Rate Over Time')
+    st.plotly_chart(fig)
+
+    # Line Chart for Blood Pressure
+    fig = px.line(patient_data, x='date', y='blood_pressure', title='Blood Pressure Over Time')
+    st.plotly_chart(fig)
+
+    # Line Chart for Blood Glucose
+    fig = px.line(patient_data, x='date', y='blood_glucose', title='Blood Glucose Over Time')
+    st.plotly_chart(fig)
+
+    # Dropdown for selecting specific visit details
+    st.header('Previous Visit Details')
+    selected_date = st.selectbox('Select Visit Date', patient_data['date'].unique())
+    selected_visit = patient_data[patient_data['date'] == selected_date]
+
+    st.write(f"**Visit Date:** {selected_date}")
+    st.write(f"Heart Rate: {selected_visit['heart_rate'].values[0]}")
+    st.write(f"Blood Pressure: {selected_visit['blood_pressure'].values[0]}")
+    st.write(f"Blood Glucose: {selected_visit['blood_glucose'].values[0]}")
+
+    # Alerts and Notifications
+    st.header('Alerts')
+    if selected_visit['heart_rate'].values[0] > 100:
+        st.error('High heart rate detected!')
+    if selected_visit['blood_pressure'].values[0] > 140:
+        st.error('High blood pressure detected!')
+
+    # Download Button for Patient Data
+    st.download_button(
+        label="Download Patient Data as CSV",
+        data=patient_data.to_csv().encode('utf-8'),
+        file_name=f'patient_{patient_id}_data.csv',
+        mime='text/csv',
+    )
+
+elif choice == "Add New Patient":
+    st.header("Add New Patient")
+
+    # Input fields for new patient data
+    new_patient_id = st.number_input("Patient ID", min_value=0, step=1)
+    new_name = st.text_input("Name")
+    new_age = st.number_input("Age", min_value=0, step=1)
+    new_gender = st.selectbox("Gender", ["Male", "Female"])
+    new_medical_history = st.text_area("Medical History")
+
+    if st.button("Add Patient"):
+        new_patient_data = {
+            'patient_id': new_patient_id,
+            'name': new_name,
+            'age': new_age,
+            'gender': new_gender,
+            'medical_history': new_medical_history,
+            'date': None,
+            'heart_rate': None,
+            'blood_pressure': None,
+            'blood_glucose': None
+        }
+        df = df.append(new_patient_data, ignore_index=True)
+        save_data(df)
+        st.success("New patient added successfully!")
+
+elif choice == "Add New Visit":
+    st.header("Add New Visit")
+
+    # Input fields for adding a new visit
+    patient_id = st.number_input("Patient ID", min_value=0, step=1)
+    visit_date = st.date_input("Date of Visit", value=datetime.today())
+    medical_complaints = st.text_area("Medical Complaints")
+    symptoms = st.text_area("Symptoms")
+    physical_examination = st.text_area("Physical Examination")
+    diagnosis = st.text_area("Diagnosis")
+    heart_rate = st.number_input("Heart Rate", min_value=0)
+    blood_pressure = st.number_input("Blood Pressure", min_value=0)
+    temperature = st.number_input("Temperature", min_value=0)
+    glucose = st.number_input("Blood Glucose", min_value=0)
+    extra_notes = st.text_area("Extra Notes")
+    treatment = st.text_area("Treatment")
+
+    if st.button("Add Visit"):
+        new_visit_data = {
+            'patient_id': patient_id,
+            'name': df[df['patient_id'] == patient_id]['name'].values[0],
+            'age': df[df['patient_id'] == patient_id]['age'].values[0],
+            'gender': df[df['patient_id'] == patient_id]['gender'].values[0],
+            'medical_history': df[df['patient_id'] == patient_id]['medical_history'].values[0],
+            'date': visit_date,
+            'heart_rate': heart_rate,
+            'blood_pressure': blood_pressure,
+            'blood_glucose': glucose,
+        }
+        df = df.append(new_visit_data, ignore_index=True)
+        save_data(df)
+        st.success("New visit added successfully!")