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main.py
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main.py
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# Import required libraries
from kivy.app import App
from kivy.uix.boxlayout import BoxLayout
from kivy.uix.image import Image
from kivy.uix.button import Button
from kivy.uix.label import Label
from kivymd.app import MDApp
from kivymd.uix.filemanager import MDFileManager
from kivymd.uix.dialog import MDDialog
# Import your model here (e.g., TensorFlow, PyTorch, etc.)
class AgeGenderPredictionApp(MDApp):
def build(self):
self.image = Image(source='', size_hint=(1, 0.8))
self.result_label = Label(text='', size_hint=(1, 0.2))
browse_button = Button(text="Browse Image", on_release=self.browse_image)
layout = BoxLayout(orientation='vertical')
layout.add_widget(self.image)
layout.add_widget(browse_button)
layout.add_widget(self.result_label)
return layout
def browse_image(self, instance):
file_manager = MDFileManager(
exit_manager=self.exit_manager,
select_path=self.select_path,
)
file_manager.show()
def exit_manager(self, *args):
self.file_manager.close()
def select_path(self, path):
# Load the selected image and perform age and gender prediction
# Call your prediction function here and update the self.result_label with the results
# Example (you'll need to modify this based on your model and how you load images):
# predicted_age, predicted_gender = predict_age_gender(path)
# self.result_label.text = f"Predicted Age: {predicted_age}, Predicted Gender: {predicted_gender}"
self.result_label.text = "Prediction results will be displayed here."
self.exit_manager()
if __name__ == '__main__':
AgeGenderPredictionApp().run()