Update app.py

app.py

@@ -10,12 +10,13 @@ import gradio as gr
 # Demo images
 FRAME1 = Path("demo/frame1.jpg")
 FRAME2 = Path("demo/frame2.jpg")
+DEMO = Path("demo/demo.gif")
 
 TMP_PREFIX = "/tmp/gradio/"
 TARGET_DIR = f"{TMP_PREFIX}output/"
 EXTENSION = "gif"
 
-def enhance_image(img_a_path: str, img_b_path: str, mode: str) -> Tuple[str, str]:
+def enhance_image(img_a_path: str, img_b_path: str) -> Tuple[str, str]:
     """
     3-step pipeline:
     1) inference_img.py --img <A> <B> --exp=4  -> writes frames as /tmp/gradio/output/img%d.png
@@ -66,7 +67,7 @@ with gr.Blocks(title="RIFE Interpolation") as demo:
         gr.Markdown("### Demo: Preloaded images")
         input_imageA = gr.Image(type="filepath", value=str(FRAME1), label="Image A")
         input_imageB = gr.Image(type="filepath", value=str(FRAME2), label="Image B")
-        enhance_mode = gr.Dropdown(choices=["default"], value="default", label="Mode")  # placeholder to match signature
+        output_image = gr.Imagee(type="filpath", valuee=str(DEMO), label="Demo")
         g_btn = gr.Button("Interpolate")
 
         output_image = gr.Image(type="filepath", label="Interpolated GIF")
@@ -88,7 +89,7 @@ with gr.Blocks(title="RIFE Interpolation") as demo:
         user_path = gr.Textbox(label="Output path", interactive=False)
         user_btn.click(
             fn=enhance_image,
-            inputs=[user_A, user_B, user_mode],
+            inputs=[user_A, user_B],
             outputs=[user_out, user_path],
         )