Update app.py

app.py

@@ -110,7 +110,7 @@ def inference(file, mode, res_percentage, zoom, x_shift, y_shift):
         img = cv2.resize(colorf, (grayf.shape[1], grayf.shape[0]))
         
     elif mode == "inpainting":
-        im2 = resize(im1, width = 1024)
+        im2 = resize(im, width = 1024)
         model = {'name':'GPEN-Inpainting-1024', 'size':1024}
         faceinpainter = FaceInpainting(size=model['size'], model=model['name'], channel_multiplier=2, device='cpu')
         im3 = np.asarray(brush_stroke_mask(Image.fromarray(im2)))
@@ -163,8 +163,8 @@ with gr.Blocks() as demo:
         input_img = gr.Image(label="Input Image")
         output_img = gr.Image(label="Result")
     
-    max_res = gr.Slider(1, 200, step=0.5, value=100, label="Output image Resolution Percentage (Higher% = longer processing time)")
     restore_type = gr.Radio(["enhance", "colorize", "inpainting", "selfie", "enhanced+background"], value="enhance", type="value", label="Type")
+    max_res = gr.Slider(1, 200, step=0.5, value=100, label="Output image Resolution Percentage (Higher% = longer processing time)")
     
     zoom = gr.Slider(0, 100, step=1, value=50, label="Zoom Percentage (0 = original size)")
     x_shift = gr.Slider(0, 100, step=1, label="Horizontal shift Percentage (Before/After)")