more debugging 2

app.py

@@ -90,11 +90,7 @@ def predict(input_img):
     input_img = Image.open(input_img)
     ratio = input_img.size[1] / 256.0
     input_img = input_img.resize((int(ratio*input_img.size[0]),256), Image.ANTIALIAS)
-    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
+    return input_img
 
 
 iface = gr.Interface(predict, gr.inputs.Image(type='filepath'), "image")