add exemples

.gitattributes

@@ -29,3 +29,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.jpg filter=lfs diff=lfs merge=lfs -text

app.py

@@ -167,14 +167,14 @@ def detect_logo(img, model, confidence):
     txt_output = print_output(txt_path)
     return img_output, txt_output
 
-#examples1 = [["Image1.jpeg", "Yolo_v7_Custom_trained_By_Owais"], ["Image2.jpeg", "Yolo_v7_Custom_trained_By_Owais"],
-#             ["Image3.jpeg", "Yolo_v7_Custom_trained_By_Owais", ], ["Image4.jpeg", "Yolo_v7_Custom_trained_By_Owais"],
-#             ["Image5.jpeg", "Yolo_v7_Custom_trained_By_Owais"], ["Image6.jpeg", "Yolo_v7_Custom_trained_By_Owais"],
-#             ["horses.jpeg", "yolov7"], ["horses.jpeg", "yolov7-e6"]]
+examples1 = [["exemple1.jpg", "Yologo"], ["exemple2.jpg", "Yologo"],
+             ["exemple3.jpg", "Yologo", ], ["exemple4.jpg", "Yologo"],
+             ["exemple5.jpg", "Yologo"], ["exemple6.jpg", "Yologo"]]
 
 Top_Title = "<center>Yolov7 🚀 Custom Trained by ISAI Team (Capgemini) </center> Logo detection model"
 
 gr.Interface(detect_logo, [gr.Image(type="pil"), gr.Dropdown(value="Yologo",
                                                                choices=["Yologo"]), gr.Slider(0.10, 1.0, value=0.60)], [gr.Image(type="pil"), "text"],
-             title=Top_Title).launch()
+             title=Top_Title, examples=examples1, cache_examples=False).launch()
+