add examples

app.py

@@ -1,11 +1,3 @@
-# import gradio as gr
-
-# def greet(image):
-#     return "Shape  " + image.shape + "!!"
-
-# iface = gr.Interface(fn=greet, inputs="image", outputs="text")
-# iface.launch()
-
 import gradio as gr
 import sys
 from BLIP.models.blip import blip_decoder
@@ -42,7 +34,7 @@ inputs = [gr.Image(type='pil', interactive=False),]
 outputs = gr.outputs.Textbox(label="Caption")
 
 description = "Gradio demo for FuseCap: Leveraging Large Language Models to Fuse Visual Data into Enriched Image Captions. This demo features a BLIP-based model, trained using FuseCap."
-
+examples = [["birthday_dog.jpeg"], ["surfer.png"], ["bike.jpg"]]
 article = "<p style='text-align: center'><a href='google.com' target='_blank'>place holder</a>/p>"
 
 
@@ -52,6 +44,6 @@ iface = gr.Interface(fn=inference,
                     title="FuseCap",
                     description=description,
                     article=article,
-                    examples=[['birthday_dog.jpeg']],
+                    examples=examples,
                     enable_queue=True)
 iface.launch()