Update app.py

app.py

@@ -72,6 +72,15 @@ out = [
         gr.components.Label(num_top_classes=2, label="Top 2 Probabilities")
         ]
 
+example_images = [
+    ["images/chandler.jpeg"],
+    ["images/janice.jpg"],
+    ["images/joey.jpg"],
+    ["images/phoebe.jpg"],
+    ["images/rachel_monica.jpg"],
+    ["images/ross.jpg"],
+    ["images/gunther.jpg"]
+]
 
 title = "Facial Emotion Recognition"
 description = "How well can this model predict your emotions? Take a picture with your webcam, and it will guess if" \
@@ -81,16 +90,7 @@ thumbnail = "https://raw.githubusercontent.com/gradio-app/hub-emotion-recognitio
 # gr.Interface(predict, inp, out, capture_session=True, title=title, thumbnail=thumbnail,
 #              description=description).launch(inbrowser=True)
 gr.Interface(fn=predict, inputs=inp, outputs=out,
-             examples = [
-                os.path.join(os.path.dirname(__file__), "images/chandler.jpeg"),
-                os.path.join(os.path.dirname(__file__), "images/janice.jpg"),
-                os.path.join(os.path.dirname(__file__), "images/joey.jpg"),
-                os.path.join(os.path.dirname(__file__), "images/phoebe.jpg"),
-                os.path.join(os.path.dirname(__file__), "images/rachel_monica.jpg"),
-                os.path.join(os.path.dirname(__file__), "images/ross.jpg"),
-                os.path.join(os.path.dirname(__file__), "images/gunther.jpg"),
-             
-             ],title=title, thumbnail=thumbnail).launch()
+            examples=example_images,title=title, thumbnail=thumbnail).launch()