app.py

# app.py
import gradio as gr
import importlib

def load_model(model_name):
    module = importlib.import_module(model_name)
    return module

app = gr.Blocks()

with app:
    gr.Markdown("## Object Detection using TensorFlow Lite Models")
    with gr.Row():
        model_choice = gr.Dropdown(label="Select Model", choices=["model_1", "model_2", "model_3"])
        image_input = gr.Image(type="pil", label="Upload an image")
        image_output = gr.Image(type="pil", label="Detection Result")
        video_input = gr.Video(label="Upload a video")
        video_output = gr.Video(label="Detection Result")
        
        def image_detection(model_name, input_image):
            model = load_model(model_name)
            return model.detect_image(input_image)
        
        def video_detection(model_name, input_video):
            model = load_model(model_name)
            return model.detect_video(input_video)
        
        gr.Button("Submit Image").click(fn=image_detection, inputs=[model_choice, image_input], outputs=image_output)
        gr.Button("Submit Video").click(fn=video_detection, inputs=[model_choice, video_input], outputs=video_output)

app.launch()