Delete app.py

app.py

@@ -1,30 +0,0 @@
-import gradio as gr
-from PIL import Image
-import numpy as np
-from TheDistanceAssessor import run, load_segformer, load_yolo
-
-def process_image(input_image):
-    image_size = [1024, 1024]
-    target_distances = [650, 1000, 2000]
-    num_ys = 10
-
-    PATH_model_seg = 'SegFormer_B3_1024_finetuned.pth'
-    PATH_model_det = 'yolov8s.pt'
-    model_seg = load_segformer(PATH_model_seg)
-    model_det = load_yolo(PATH_model_det)
-
-    output_image = run(input_image, model_seg, model_det, image_size, target_distances, num_ys=num_ys)
-    return output_image
-
-# Create the Gradio interface
-iface = gr.Interface(
-    fn=process_image,  # The function to be called
-    inputs=gr.Image(type="numpy"),  # Input type auto-detects the type
-    outputs=gr.Image(type="numpy"),  # Output type
-    title="Image Processor",  # Title of the interface
-    description="Upload an image and get a processed image as output."  # Description of the interface
-)
-
-# Launch the interface
-if __name__ == "__main__":
-    iface.launch()