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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,88 +1 @@ | ||
| import dash | ||
| from dash import dcc, html | ||
| from dash.dependencies import Input, Output, State | ||
| from pydub import AudioSegment | ||
| from django_plotly_dash import DjangoDash | ||
| import numpy as np | ||
| import time | ||
|
|
||
| app = dash.Dash(__name__) | ||
|
|
||
| # Define a function to load audio data and duration | ||
| def loadAudioData(audioPath): | ||
| audio = AudioSegment.from_file(audioPath) | ||
| audio_data = np.array(audio.get_array_of_samples()) | ||
| audio_duration = len(audio_data) / audio.frame_rate | ||
| subsampling_factor = 1 | ||
| audio_data = audio_data[::subsampling_factor] | ||
|
|
||
| target_duration = 0.877 | ||
| num_repeats = 1 | ||
| audio_data = np.tile(audio_data, num_repeats) | ||
| sample_rate = 44100 | ||
| duration = len(audio_data) / sample_rate | ||
|
|
||
| return {'audio_data': audio_data.tolist(), 'audio_duration': duration} | ||
|
|
||
| # Layout of the app | ||
| app.layout = html.Div([ | ||
| dcc.Input(id='audio-path-input',type='text',placeholder='Enter audio path...',style={'display':'none'}), | ||
| dcc.Graph(id='animated-audio-chart', style={'height': '95vh'}, config={'responsive': True}), | ||
| dcc.Store(id='audio-data-store', data={'audio_data': [], 'audio_duration': 0}), | ||
| dcc.Store(id='interval-store', data=time.time()), # Store the start time and set default heart rate to 60 | ||
| dcc.Interval(id='interval-component', interval=25, n_intervals=0) # Interval in milliseconds | ||
| ]) | ||
|
|
||
| # Clientside callback to update the graph | ||
| app.clientside_callback( | ||
| """ | ||
| function(n, audioData, startTime) { | ||
| // Get the audio data and duration from the stored data | ||
| var audioArray = audioData['audio_data']; | ||
| var audioDuration = audioData['audio_duration']; | ||
| var heartRate = 60 | ||
| // Calculate the time passed since the start | ||
| var currentTime = new Date().getTime() / 1000; // Convert milliseconds to seconds | ||
| var elapsedTime = currentTime - startTime; | ||
| // Calculate the position of the vertical line | ||
| var timePerBeat = 60 / heartRate; | ||
| var linePosition = Math.floor((elapsedTime % timePerBeat) * audioArray.length / timePerBeat); | ||
| // Create the figure | ||
| var figure = { | ||
| data: [ | ||
| {y: audioArray, type: 'line', name: 'HBR Signal', line: {color: 'green'}}, | ||
| {x: [linePosition, linePosition], y: [Math.min.apply(null, audioArray), Math.max.apply(null, audioArray)], mode: 'lines', line: {color: 'black', width: 10}} | ||
| ], | ||
| layout: { | ||
| showlegend: false, | ||
| paper_bgcolor: 'black', // Set background color to black | ||
| plot_bgcolor: 'black' // Set plot background color to black | ||
| } | ||
| }; | ||
| // Return the updated figure, startTime, and heartRate | ||
| return [figure, startTime]; | ||
| } | ||
| """, | ||
| Output('animated-audio-chart', 'figure'), | ||
| Output('interval-store', 'data'), | ||
| Input('interval-component', 'n_intervals'), | ||
| State('audio-data-store', 'data'), | ||
| State('interval-store', 'data'), | ||
| prevent_initial_call=True | ||
| ) | ||
|
|
||
| # Callback to load audio data when the input changes | ||
| @app.callback( | ||
| Output('audio-data-store', 'data'), | ||
| Input('audio-path-input', 'value') | ||
| ) | ||
| def update_audio_path(audioPath): | ||
| input_string = 'app/static/audio/heart/normal_heart/E/combined_audio.wav' | ||
| return loadAudioData(input_string) | ||
|
|
||
| if __name__ == '__main__': | ||
| app.run_server(debug=True) | ||
| "normal_heart_sound_pulmonary_valve","split_first_heart_sound_pulmonary_valve","split_second_heart_sound_pulmonary_valve","third_heart_sound_pulmonary_valve","fourth_heart_sound_pulmonary_valve","functional_murmur_sound_pulmonary_valve","diastolic_murmur_sound_pulmonary_valve","opening_snap_sound_pulmonary_valve","holosystolic_murmur_sound_pulmonary_valve","early_systolic_murmur_sound_pulmonary_valve","mid_systolic_murmur_sound_pulmonary_valve","continuous_murmur_sound_pulmonary_valve","austin_flint_murmur_sound_pulmonary_valve","pericardial_rub_sound_pulmonary_valve","graham_steell_murmur_sound_pulmonary_valve","pulmonary_valve_regurgitation_sound_pulmonary_valve","pulmonary_valve_stenosis_sound_pulmonary_valve","pulmonary_valve_stenosis_regurgitation_sound_pulmonary_valve","congenital_pulmonary_stenosis_sound_pulmonary_valve","pulmonary_valve_regurgitation_sound_pulmonary_valve","pulmonary_valve_stenosis_sound_pulmonary_valve","pulmonary_valve_prolapse_sound_pulmonary_valve","pulmonary_stenosis_regurgitation_sound_pulmonary_valve","pulmonary_stenosis_tricuspid_regurgitation_sound_pulmonary_valve","pulmonary_valve_stenosis_sound_pulmonary_valve","pulmonary_valve_regurgitation_sound_pulmonary_valve","tricuspid_valve_regurgitation_sound_pulmonary_valve","coarctation_of_the_aorta_sound_pulmonary_valve","hypertrophic_cardiomyopathy_sound_pulmonary_valve","patent_ductus_arteriosus_sound_pulmonary_valve","atrial_septal_defect_sound_pulmonary_valve","ventricular_septal_defect_sound_pulmonary_valve","acute_myocardial_infarction_sound_pulmonary_valve","congestive_heart_failure_sound_pulmonary_valve","systemic_hypertension_sound_pulmonary_valve","acute_pericarditis_sound_pulmonary_valve","dilated_cardiomyopathy_sound_pulmonary_valve","pulmonary_hypertension_sound_pulmonary_valve","tetralogy_of_fallot_sound_pulmonary_valve","ventricular_aneurysm_sound_pulmonary_valve","ebstein_anomaly_sound_pulmonary_valve" |