Add dropdowns, label default values

app.py

@@ -52,22 +52,27 @@ def predict(input1, input2, label=None):
         return img1_PIL, img2_PIL, decision, label 
 
 #%%
+
+img_PIL = Image.open(f'data/{file_list[0]}')
+
 with gr.Blocks() as demo:
     drop1 =  gr.Dropdown(
+    value=file_list[0],
     choices=file_list,
     label='First image',
     scale=0
     )
     drop2 = gr.Dropdown(
+    value=file_list[0],
     choices=file_list,
     label='Second image',
     scale=0     
     )
     with gr.Row():
-        img1 = gr.Image(value=f'data/{examples[0][0]}', height=153, width=136, interactive=False, scale=0, label='image1')
-        img2 = gr.Image(value=f'data/{examples[0][0]}', height=153, width=136, interactive=False, scale=0, label='image2')
-        label = gr.Label(label='0 means images represent the same fingerprint')
-    output = gr.Label(value=predict(*examples[0])[2], label='Prediction')
+        img1 = gr.Image(value=img_PIL, height=153, width=136, interactive=False, scale=0, label='image1')
+        img2 = gr.Image(value=img_PIL, height=153, width=136, interactive=False, scale=0, label='image2')
+        label = gr.Label(value=0, label='0 means images represent the same fingerprint')
+    output = gr.Label(value=predict(*examples[0])[2], label='Prediction, the closer to 0, the more similar')
 
     drop1.change(fn=predict, inputs=[drop1, drop2], outputs=[img1, img2, output, label])
     drop2.change(fn=predict, inputs=[drop1, drop2], outputs=[img1, img2, output, label])