examples added for users

app.py

@@ -1,6 +1,14 @@
 import gradio as gr
 from detection import ObjectDetection
 
+examples = [
+    ['test-images/toma_TMV_jpg.rf.fadfed6938fbeef46c39f78a02da3be4.jpg', 0.31],
+    ['test-images/99e886623c2080c22f6519b0e708c531_jpg.rf.83ea9a32bc50cfb2da6e4a39337532cc.jpg', 0.51],
+    ['test-images/early-blight-septoria-ls-fig-3_jpg.rf.7b2e29c077910e0930c16d7aed136121.jpg', 0.39],
+    ['test-images/glyphosate_jpg.rf.01dea2d24a1e3591855a68e077bb625e.jpg', 0.54],
+    ['test-images/image_jpg.rf.d37866429a917dd1bc5352ea1454a472.jpg', 0.41]
+]
+
 def get_predictions(img, threshold, box_color, text_color):
     v3_results = yolov3_detector.score_frame(img)
     v5_results = yolov5_detector.score_frame(img)
@@ -42,6 +50,9 @@ with gr.Blocks(title="Leaf Disease Detection", theme=gr.themes.Monochrome()) as
             [image, confidence, box_color, text_color],
             [v3_prediction, v5_prediction, v8_prediction]
         )
+    
+    with gr.Row():
+        gr.Examples(examples=examples, inputs=[image, confidence])
 
 
 yolov3_detector = ObjectDetection('yolov3')