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| import gradio as gr | |
| from FacePosition import FacePosition | |
| from AudioClassifier import AudioClassifier | |
| # Create an instance of the FacePosition class | |
| movement_controller = FacePosition() | |
| cursor_movement = gr.Interface( | |
| fn = movement_controller.predict, | |
| inputs = gr.Image(source='webcam', streaming=True), | |
| outputs = ['image', 'text'], | |
| live = True, | |
| title = 'Cursor movement controller', | |
| description = "This space provides functionality for detecting a face using the MediaPipe library and controlling the cursor's movement accordingly." | |
| ) | |
| # Create an instance of the AudioClassifier class | |
| audio_classifier = AudioClassifier() | |
| audio_commands = gr.Interface( | |
| fn = audio_classifier.predict, | |
| inputs = gr.Audio(source="microphone", type="filepath", streaming=False), | |
| outputs = "text", | |
| live = True, | |
| title = 'Speech commands recognition (mouse actions)', | |
| description = 'This class provides functionality for classifying audio commands associated to mouse actions, based on a pre-trained audio classification model.' | |
| ) | |
| demo = gr.TabbedInterface([cursor_movement, audio_commands], | |
| title = 'Hands-free Cursor Application', | |
| tab_names = ['Cursor movement controller', 'Speech commands recognition'], | |
| theme = gr.themes.Soft()) | |
| if __name__ == "__main__": | |
| demo.launch() | |