app.py

import dash
from dash import dcc, html
from dash.dependencies import Input, Output
import plotly.graph_objs as go
import pandas as pd
import numpy as np

# Load and preprocess the ECG data
df = pd.read_csv("mitbih_train.csv", header=None)

# Preprocess the data
M = df.values
X = M[:, :-1]
y = M[:, -1].astype(int)

# Identify indices for different categories
C0 = np.argwhere(y == 0).flatten()
C1 = np.argwhere(y == 1).flatten()
C2 = np.argwhere(y == 2).flatten()
C3 = np.argwhere(y == 3).flatten()
C4 = np.argwhere(y == 4).flatten()

# Time axis
x = np.arange(0, 187) * 8 / 1000

# Initialize Dash app
app = dash.Dash(__name__)

# Expose the Flask server instance for Gunicorn
server = app.server

# App layout with live graph and interval for updates
app.layout = html.Div([
    html.H1("Real-Time ECG Visualization"),
    dcc.Graph(id='live-ecg-graph'),
    dcc.Interval(id='interval-component', interval=1000, n_intervals=0),  # Update every second
])

# Callback to update the ECG plot in real-time
@app.callback(Output('live-ecg-graph', 'figure'),
              [Input('interval-component', 'n_intervals')])
def update_graph_live(n_intervals):
    # Simulate real-time update by cycling through data for each category
    idx = n_intervals % len(C0)

    # Plot for each category (replace with actual streaming data if needed)
    fig = go.Figure()

    fig.add_trace(go.Scatter(x=x, y=X[C0[idx], :], mode='lines', name="Cat. N"))
    fig.add_trace(go.Scatter(x=x, y=X[C1[idx], :], mode='lines', name="Cat. S"))
    fig.add_trace(go.Scatter(x=x, y=X[C2[idx], :], mode='lines', name="Cat. V"))
    fig.add_trace(go.Scatter(x=x, y=X[C3[idx], :], mode='lines', name="Cat. F"))
    fig.add_trace(go.Scatter(x=x, y=X[C4[idx], :], mode='lines', name="Cat. Q"))

    # Update layout
    fig.update_layout(
        title="Real-Time ECG for Every Category",
        xaxis_title="Time (ms)",
        yaxis_title="Amplitude",
        legend_title="Category",
        height=600,
        margin=dict(l=50, r=50, t=50, b=50),
    )
    return fig

# Run the server
if __name__ == '__main__':
    app.run_server(debug=True, host='0.0.0.0', port=8080)  # Changed to port 8080