Spaces:
Sleeping
Sleeping
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=True), | |
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() | |