ura23 commited on
Commit
9c98c63
·
verified ·
1 Parent(s): 21f4426

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +11 -16
app.py CHANGED
@@ -121,9 +121,12 @@ def main():
121
  gr.Markdown(f"<h1 style='text-align: center;'>{TITLE}</h1>")
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  gr.Markdown(DESCRIPTION)
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  with gr.Row():
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  with gr.Column():
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-
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  submit = gr.Button(
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  value="Process Images", variant="primary"
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  )
@@ -140,26 +143,17 @@ def main():
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  label="Select Model",
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  )
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- # Ensure args.score_slider_step and args.score_general_threshold are valid floats
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- if isinstance(args.score_slider_step, bool):
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- args.score_slider_step = 0.1 # Default value if it's a boolean
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- if isinstance(args.score_general_threshold, bool):
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- args.score_general_threshold = 0.25 # Default value if it's a boolean
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  general_thresh = gr.Slider(
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- 0, 1, step=float(args.score_slider_step or 0.1),
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- value=float(args.score_general_threshold or 0.25),
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- label="General Tags Threshold"
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  )
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- # Ensure args.score_character_threshold is a valid float
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- if isinstance(args.score_character_threshold, bool):
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- args.score_character_threshold = 1.0 # Default value if it's a boolean
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-
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  character_thresh = gr.Slider(
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- 0, 1, step=float(args.score_slider_step or 0.1),
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- value=float(args.score_character_threshold or 1.0),
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- label="Character Tags Threshold"
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  )
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  filter_tags = gr.Textbox(
@@ -172,6 +166,7 @@ def main():
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  with gr.Column():
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  output = gr.Textbox(label="Output", lines=10)
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  def process_images(files, model_repo, general_thresh, character_thresh, filter_tags):
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  images = [Image.open(file.name) for file in files]
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  results = predictor.predict(images, model_repo, general_thresh, character_thresh)
 
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  gr.Markdown(f"<h1 style='text-align: center;'>{TITLE}</h1>")
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  gr.Markdown(DESCRIPTION)
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+ with gr.Blocks(title=TITLE) as demo:
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+ gr.Markdown(f"<h1 style='text-align: center;'>{TITLE}</h1>")
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+ gr.Markdown(DESCRIPTION)
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+
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  with gr.Row():
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  with gr.Column():
 
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  submit = gr.Button(
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  value="Process Images", variant="primary"
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  )
 
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  label="Select Model",
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  )
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+ # Fallbacks for possibly invalid args
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+ step = 0.1 if isinstance(args.score_slider_step, bool) else float(args.score_slider_step)
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+ general_val = 0.25 if isinstance(args.score_general_threshold, bool) else float(args.score_general_threshold)
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+ char_val = 1.0 if isinstance(args.score_character_threshold, bool) else float(args.score_character_threshold)
 
150
 
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  general_thresh = gr.Slider(
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+ 0, 1, step=step, value=general_val, label="General Tags Threshold"
 
 
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  )
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  character_thresh = gr.Slider(
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+ 0, 1, step=step, value=char_val, label="Character Tags Threshold"
 
 
157
  )
158
 
159
  filter_tags = gr.Textbox(
 
166
  with gr.Column():
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  output = gr.Textbox(label="Output", lines=10)
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169
+
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  def process_images(files, model_repo, general_thresh, character_thresh, filter_tags):
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  images = [Image.open(file.name) for file in files]
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  results = predictor.predict(images, model_repo, general_thresh, character_thresh)