Update app.py

app.py

@@ -1,4 +1,12 @@
 import gradio as gr
+import numpy as np
+
+def inference(image):
+    img1 = np.array(np.rand(240,240))
+    img2 = np.array(np.rand(240,240))
+    img3 = np.array(np.rand(240,240))
+    parts_list_damage = 'test'
+    return img1, img2, img3, parts_list_damage
 
 with gr.Blocks() as demo:
     with gr.Row():
@@ -12,6 +20,13 @@ with gr.Blocks() as demo:
             im2 = gr.Image(type='numpy',label='Image of scratches')
             im3 = gr.Image(type='numpy',label='Image of car parts')
             intersections = gr.Textbox(label='Information about type of damages on each part')
+    
+    #actions
+    submit_button.click(
+        fn=inference,
+        inputs = [image],
+        outputs = [img1,img2,img3,intersections]
+    )
         
 if __name__ == "__main__":
     demo.launch()