benjaminStreltzin commited on
Commit
a821828
·
verified ·
1 Parent(s): 70d4bb7

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +4 -4
app.py CHANGED
@@ -1,6 +1,6 @@
1
  import gradio as gr
2
  from PIL import Image
3
- from vit_model_test import CustomModel # Ensure this is the correct import for your model
4
  from vit_Training import Custom_VIT_Model
5
 
6
  # Initialize the model
@@ -32,7 +32,7 @@ custom_css = """
32
  </style>
33
  """
34
 
35
- # Variable to store the last prediction result
36
  last_prediction = None
37
 
38
  def predict(image: Image.Image):
@@ -80,7 +80,7 @@ with gr.Blocks(css=custom_css, theme=gr.themes.Soft()) as demo:
80
  submit_btn = gr.Button("Submit", variant="primary", elem_id="submit_btn")
81
  feedback_btn = gr.Button("The model was wrong", variant="secondary", elem_id="feedback_btn")
82
 
83
- gr.Markdown("<br>") # Adding space below buttons
84
  clear_btn = gr.Button("Clear", elem_id="clear_btn")
85
 
86
  submit_btn.click(predict, inputs=image_input, outputs=[prediction_output, confidence_output])
@@ -88,7 +88,7 @@ with gr.Blocks(css=custom_css, theme=gr.themes.Soft()) as demo:
88
 
89
  # Clear button
90
  def clear_all():
91
- return None, "", "", "" # Clear all outputs
92
 
93
  clear_btn.click(clear_all, outputs=[image_input, prediction_output, confidence_output, feedback_output])
94
 
 
1
  import gradio as gr
2
  from PIL import Image
3
+ from vit_model_test import CustomModel
4
  from vit_Training import Custom_VIT_Model
5
 
6
  # Initialize the model
 
32
  </style>
33
  """
34
 
35
+ # Store the last prediction result
36
  last_prediction = None
37
 
38
  def predict(image: Image.Image):
 
80
  submit_btn = gr.Button("Submit", variant="primary", elem_id="submit_btn")
81
  feedback_btn = gr.Button("The model was wrong", variant="secondary", elem_id="feedback_btn")
82
 
83
+ gr.Markdown("<br>")
84
  clear_btn = gr.Button("Clear", elem_id="clear_btn")
85
 
86
  submit_btn.click(predict, inputs=image_input, outputs=[prediction_output, confidence_output])
 
88
 
89
  # Clear button
90
  def clear_all():
91
+ return None, "", "", ""
92
 
93
  clear_btn.click(clear_all, outputs=[image_input, prediction_output, confidence_output, feedback_output])
94