Add large model and more image examples

app.py

@@ -5,6 +5,7 @@ import yolov5
 models = {
     "yolov5s": yolov5.load("akbojda/yolov5s-aquarium"),
     "yolov5m": yolov5.load("akbojda/yolov5m-aquarium"),
+    "yolov5l": yolov5.load("akbojda/yolov5l-aquarium"),
 }
 
 def predict(img, model_type):
@@ -17,7 +18,9 @@ def predict(img, model_type):
 # Interface
 inputs = [
     gr.Image(),
-    gr.Dropdown(["yolov5s", "yolov5m"], label="Model", value="yolov5s"),
+    gr.Dropdown(["yolov5s", "yolov5m", "yolov5l"],
+                label="Model",
+                value="yolov5s"),
 ]
 
 outputs = [
@@ -29,6 +32,8 @@ examples = [
     ["examples/ex2.jpg", None],
     ["examples/ex3.jpg", None],
     ["examples/ex4.jpg", None],
+    ["examples/ex5.jpg", None],
+    ["examples/ex6.jpg", None],
 ]
 
 title = "Aquarium object detection"