add application file

app.py

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+import gradio as gr
+import cv2
+import numpy as np
+from PIL import Image, ImageDraw
+
+# Function to read and display RGB at a predefined point and plot the point
+def get_rgb_and_plot_point(img, x, y, point_size):
+    img = np.array(img)  # Convert the image to a numpy array
+    if x < 0 or y < 0 or x >= img.shape[1] or y >= img.shape[0]:
+        return "Point is outside the image bounds", img
+    
+    rgb_value = img[y, x]  # Get the RGB value
+
+    # Create a PIL Image to draw the point
+    pil_img = Image.fromarray(img)
+    draw = ImageDraw.Draw(pil_img)
+    # Draw a circle at the specified point
+    draw.ellipse((x - point_size // 2, y - point_size // 2, x + point_size // 2, y + point_size // 2), outline="red", width=2)
+
+    return f'RGB value at ({x}, {y}): {rgb_value}', pil_img
+
+# Gradio interface function
+def image_rgb_extractor(img, x, y, point_size):
+    img = cv2.cvtColor(np.array(img), cv2.COLOR_BGR2RGB)  # Convert to RGB format
+    return get_rgb_and_plot_point(img, int(x), int(y), int(point_size))
+
+# Set up the Gradio interface
+input_image = gr.Image(type="pil", label="Upload an Image")
+input_x = gr.Number(label="X-coordinate")
+input_y = gr.Number(label="Y-coordinate")
+input_point_size = gr.Number(label="Point Size", value=10)  # Removed default argument
+output_rgb = gr.Textbox(label="RGB Value at Point")
+output_image = gr.Image(label="Image with Point")
+
+# Launch the Gradio app
+interface = gr.Interface(
+    fn=image_rgb_extractor,
+    inputs=[input_image, input_x, input_y, input_point_size],
+    outputs=[output_rgb, output_image],
+    title="Predefined Point RGB Inspector",
+    description="Upload an image and input coordinates (x, y) and point size to get the RGB value at that point and see it plotted on the image."
+)
+
+interface.launch()

requirements.txt

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+gradio
+opencv-python
+pillow