amitkayal commited on
Commit
c884385
·
1 Parent(s): ee1547b

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +1 -2
app.py CHANGED
@@ -92,7 +92,6 @@ demo = gr.Interface(
92
  gr.Slider(minimum=0.1, maximum=1.0, step=0.1, default=0.5, label="Opacity"),
93
  gr.Radio(["Yes", "No"], label="View misclassified images?"),
94
  gr.Number(label="Number of misclassified images to view", default=5, min=1, max=10),
95
- gr.Radio(["Upload New Images", "Example Images"], label="Select images source"),
96
  gr.Image(shape=(32, 32), label="Input Image" if "Interface" in gr.__file__ else "Image"),
97
  gr.Button(label="Submit", type="boolean"),
98
  # gr.Image(shape=(32, 32), label="Input Image"),
@@ -108,7 +107,7 @@ demo = gr.Interface(
108
  # Callback function for the Gradio interface
109
  def gradio_callback(view_gradcam, num_gradcam_images, layer_name, opacity,
110
  view_misclassified, num_misclassified_images,
111
- image_source, uploaded_image, submit,input_img, transparency = 0.5, target_layer_number = -1):
112
  confidence = inference_confidences(input_img, transparency = 0.5, target_layer_number = -1)
113
  visualization = inference_visualization(input_img, transparency = 0.5, target_layer_number = -1)
114
  return confidence, visualization
 
92
  gr.Slider(minimum=0.1, maximum=1.0, step=0.1, default=0.5, label="Opacity"),
93
  gr.Radio(["Yes", "No"], label="View misclassified images?"),
94
  gr.Number(label="Number of misclassified images to view", default=5, min=1, max=10),
 
95
  gr.Image(shape=(32, 32), label="Input Image" if "Interface" in gr.__file__ else "Image"),
96
  gr.Button(label="Submit", type="boolean"),
97
  # gr.Image(shape=(32, 32), label="Input Image"),
 
107
  # Callback function for the Gradio interface
108
  def gradio_callback(view_gradcam, num_gradcam_images, layer_name, opacity,
109
  view_misclassified, num_misclassified_images,
110
+ input_img):
111
  confidence = inference_confidences(input_img, transparency = 0.5, target_layer_number = -1)
112
  visualization = inference_visualization(input_img, transparency = 0.5, target_layer_number = -1)
113
  return confidence, visualization