my app

app.py

@@ -39,22 +39,21 @@
 
 import numpy as np
 import gradio as gr
-def sepia(input_img):
-    #处理图像
-    sepia_filter = np.array([
-        [0.393, 0.769, 0.189],
-        [0.349, 0.686, 0.168],
-        [0.272, 0.534, 0.131]
-    ])
-    sepia_img = input_img.dot(sepia_filter.T)
-    sepia_img /= sepia_img.max()
-    return sepia_img
+# def sepia(input_img):
+#     #处理图像
+#     sepia_filter = np.array([
+#         [0.393, 0.769, 0.189],
+#         [0.349, 0.686, 0.168],
+#         [0.272, 0.534, 0.131]
+#     ])
+#     sepia_img = input_img.dot(sepia_filter.T)
+#     sepia_img /= sepia_img.max()
+#     return sepia_img
 # #shape设置输入图像大小
 # demo = gr.Interface(sepia, gr.Image(), "image")
 # demo.launch()
 
 # Download human-readable labels for ImageNet.
 
-gr.Interface(fn=sepia,
-             inputs=gr.Image(type="pil")).launch()
+gr.Interface(fn=sepia,inputs=gr.Image(type="pil")).launch()