added example section

app.py

@@ -16,7 +16,7 @@ device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
 from diffusers import StableDiffusionInpaintPipeline
 pipe = StableDiffusionInpaintPipeline.from_pretrained(
-    "ShreeKanade07/Real-Image-pipeline", torch_dtype=torch.float32
+    "ShreeKanade07/Real-Image-pipeline", torch_dtype=torch.float16
 )
 #pipe = pipe.to("cuda")
 
@@ -42,7 +42,7 @@ def predict(image,mask,prompt):
 # Create the Gradio interface
 gr.Interface(
     predict,
-    title='Stable Diffusion In-Painting',
+    title='Stable Diffusion Sketch In-Painting',
     inputs=[
         gr.Image(label='Image'),
         gr.Image(label='Mask'),
@@ -50,5 +50,6 @@ gr.Interface(
     ],
     outputs=[
         gr.Image(label='Output Image')
-    ]
+    ],
+    examples=[["IMG1.jpg", "IMG1_Mask.jpg"]], cache_examples=True
 ).launch(debug=True, share=True)