Update app.py

app.py

@@ -1,6 +1,15 @@
+import gradio as gr
+import PIL
+
+# inference function takes prompt, negative prompt and image
+def infer(prompt, negative_prompt, image):
+    # implement your inference function here
+    output_image = PIL.Image("cat_image.jpeg")
+    return output_image
+
 title = "ControlNet on Canny Filter"
 description = "This is a demo on ControlNet based on canny filter."
 
-examples = [["a cat with cake texture", "low quality", "cat_image.png"]]
+examples = [["a cat with cake texture", "low quality", "cat_image.jpeg"]]
 gr.Interface(fn = infer, inputs = ["text", "text", "image"], outputs = "image",
             title = title, description = description, examples = examples, theme='gradio/soft').launch()