Set cache_examples=False and revert workaround changes

app.py

@@ -8,14 +8,11 @@ models = {
 }
 
 def predict(img, model_type):
-    if model_type in models:
-        model = models[model_type]
-        results = model(img, size=640)
-        detection_img = results.render()[0]
+    model = models[model_type]
+    results = model(img, size=640)
+    detection_img = results.render()[0]
 
-        return detection_img, "Prediction ready"
-
-    return img, f"Model '{model_type}' is not supported"
+    return detection_img
 
 # Interface
 inputs = [
@@ -25,7 +22,6 @@ inputs = [
 
 outputs = [
     "image",
-    gr.Textbox(label="Status"),
 ]
 
 examples = [
@@ -35,5 +31,5 @@ examples = [
     ["examples/ex4.jpg", None],
 ]
 
-iface = gr.Interface(fn=predict, inputs=inputs, outputs=outputs, examples=examples)
+iface = gr.Interface(fn=predict, inputs=inputs, outputs=outputs, examples=examples, cache_examples=False)
 iface.launch()