from dash.dependencies import Input, Output, State, ALL from dash import html def register_voice_detection_callbacks(app): @app.callback( Output("voice-detection-training-status", "children"), Output("voice-detection-training-status", "is_open"), Input("start-training-voice-detection", "n_clicks"), State("start-training-voice-detection", "disabled"), ) def start_voice_detection_training(n_clicks, disabled): if n_clicks: try: # Add your voice detection training logic here return "Voice detection training started!", True except Exception as e: return f"Error during voice detection training: {e}", True return "", False @app.callback( Output("voice-detection-data-upload-status", "children"), Input("upload-voice-detection-data", "contents"), State("upload-voice-detection-data", "filename"), State("upload-voice-detection-data", "last_modified"), ) def upload_voice_detection_data(contents, filename, last_modified): if contents: try: # Add your logic to handle the uploaded data return f"Uploaded {filename} successfully!", True except Exception as e: return f"Error during upload: {e}", True return "", False @app.callback( Output("voice-detection-data-display", "children"), Input("refresh-voice-detection-data", "n_clicks"), ) def display_voice_detection_data(n_clicks): if n_clicks: try: # Add your logic to fetch and display the voice detection data voice_detection_data = "Example Voice Detection Data" # Replace with actual data fetching logic return html.Div([ html.H5("Voice Detection Data:"), html.Pre(voice_detection_data) ]) except Exception as e: return f"Error during data display: {e}" return html.Div("No voice detection data to display") @app.callback( Output("voice-detection-model-status", "children"), Input("refresh-voice-detection-model-status", "n_clicks"), ) def display_voice_detection_model_status(n_clicks): if n_clicks: try: # Add your logic to fetch and display the voice detection model status model_status = "Voice Detection Model is up-to-date" # Replace with actual status checking logic return html.Div([ html.H5("Voice Detection Model Status:"), html.P(model_status) ]) except Exception as e: return f"Error during model status display: {e}" return html.Div("No voice detection model status to display")