amirzandi commited on
Commit
9cb8b1d
·
1 Parent(s): 894ab09
Files changed (1) hide show
  1. app.py +13 -7
app.py CHANGED
@@ -22,9 +22,18 @@ sample_images = [f"sample_images/{img}" for img in os.listdir("sample_images")]
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  # -----------------------------
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  def predict_with_preview(image_name):
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  image_path = image_name
 
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  # Load image for display
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  img_display = cv2.imread(image_path)
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  img_display = cv2.cvtColor(img_display, cv2.COLOR_BGR2RGB)
 
 
 
 
 
 
 
 
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  # Process grayscale for prediction
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  img = cv2.imread(image_path, cv2.IMREAD_GRAYSCALE)
@@ -43,9 +52,6 @@ def predict_with_preview(image_name):
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  # Custom CSS
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  # -----------------------------
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  custom_css = """
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- .image-container {
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- height: 350px !important;
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- }
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  textarea {
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  min-height: 130px !important;
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  font-size: 18px !important;
@@ -54,7 +60,7 @@ textarea {
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  """
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  # -----------------------------
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- # Gradio App (new structure)
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  # -----------------------------
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  with gr.Blocks(css=custom_css, theme="soft") as demo:
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  gr.Markdown("## 🔐 CAPTCHA Reader")
@@ -62,10 +68,10 @@ with gr.Blocks(css=custom_css, theme="soft") as demo:
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  with gr.Row():
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  with gr.Column():
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  image_input = gr.Dropdown(choices=sample_images, label="Choose CAPTCHA")
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- submit_btn = gr.Button("Submit")
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  with gr.Column():
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- image_output = gr.Image(label="Selected Image" , label="Selected Image" , height=400 , width=400 , scale=2)
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  text_output = gr.Textbox(label="Prediction")
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  submit_btn.click(fn=predict_with_preview, inputs=image_input, outputs=[image_output, text_output])
@@ -73,4 +79,4 @@ with gr.Blocks(css=custom_css, theme="soft") as demo:
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  # -----------------------------
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  # Launch App
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  # -----------------------------
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- demo.launch()
 
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  # -----------------------------
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  def predict_with_preview(image_name):
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  image_path = image_name
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+
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  # Load image for display
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  img_display = cv2.imread(image_path)
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  img_display = cv2.cvtColor(img_display, cv2.COLOR_BGR2RGB)
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+
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+ # 🔍 ZOOM IMAGE HERE - 5x bigger
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+ zoom_factor = 5
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+ height, width = img_display.shape[:2]
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+ new_width = width * zoom_factor
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+ new_height = height * zoom_factor
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+ img_display = cv2.resize(img_display, (new_width, new_height), interpolation=cv2.INTER_NEAREST)
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+ # INTER_NEAREST برای حفظ پیکسل‌های واضح
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  # Process grayscale for prediction
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  img = cv2.imread(image_path, cv2.IMREAD_GRAYSCALE)
 
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  # Custom CSS
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  # -----------------------------
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  custom_css = """
 
 
 
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  textarea {
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  min-height: 130px !important;
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  font-size: 18px !important;
 
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  """
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  # -----------------------------
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+ # Gradio App
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  # -----------------------------
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  with gr.Blocks(css=custom_css, theme="soft") as demo:
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  gr.Markdown("## 🔐 CAPTCHA Reader")
 
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  with gr.Row():
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  with gr.Column():
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  image_input = gr.Dropdown(choices=sample_images, label="Choose CAPTCHA")
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+ submit_btn = gr.Button("Submit", variant="primary")
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  with gr.Column():
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+ image_output = gr.Image(label="Selected Image (5x Zoomed)")
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  text_output = gr.Textbox(label="Prediction")
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  submit_btn.click(fn=predict_with_preview, inputs=image_input, outputs=[image_output, text_output])
 
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  # -----------------------------
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  # Launch App
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  # -----------------------------
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+ demo.launch()