small update

README.md

@@ -1,10 +1,10 @@
 ---
 title: Homography Warping
-emoji: 🐠
+emoji: 🌐
 colorFrom: green
 colorTo: indigo
 sdk: gradio
-sdk_version: 3.3
+sdk_version: 3.3.1
 app_file: app.py
 pinned: false
 license: apache-2.0

app.py

@@ -86,7 +86,13 @@ def infer(image_input, dst_height:str, dst_width:str):
     return fig
 
 
-description = """Homography Warping"""
+description = """In this space you can warp an image using perspective transform with the Kornia library as seen in [this tutorial](https://kornia-tutorials.readthedocs.io/en/latest/warp_perspective.html).
+
+1. Upload an image
+2. Set 4 points into the image with your cursor, which define the area to warp
+3. Set a desired output size (or go with the default)
+4. Click Submit to run the demo
+"""
 
 example_mask = np.empty((327,600,4))
 example_mask[:] = [0,0,0,255]
@@ -95,11 +101,11 @@ example_image_dict = {"image": "bruce.png", "mask": example_mask}
 Iface = gr.Interface(
     fn=infer,
     inputs=[gr.components.Image(tool="sketch"),
-            gr.components.Textbox(label="Destination Height"),
-            gr.components.Textbox(label="Destination Width"),
+            gr.components.Textbox(label="Destination Height", value="64"),
+            gr.components.Textbox(label="Destination Width", value="128"),
             ],
     outputs=gr.components.Plot(),
-    #examples=[["bruce.png", example_mask], "64", "128"],
+    #examples=[["bruce.png", example_mask, "64", "128"]],
     title="Homography Warping",
     description=description,
 ).launch()