Update app.py

app.py

@@ -58,7 +58,7 @@ def detect_circles(frame_diff, image_center, center_tolerance, param1, param2, m
         return filtered_circles if filtered_circles else None
     return None
 
-def analyze_gif(gif_file, lower_bound, upper_bound, param1, param2, center_tolerance, morph_iterations):
+def analyze_gif(gif_file, lower_bound, upper_bound, param1, param2, center_tolerance, morph_iterations, min_rad):
     """Analyze a GIF for concentric circles, highlighting growing series."""
     try:
         # Handle Gradio file input
@@ -78,7 +78,7 @@ def analyze_gif(gif_file, lower_bound, upper_bound, param1, param2, center_toler
 
         # Initialize results
         all_circle_data = []  # Store all detected circles
-        min_radius = 20
+        min_radius = int(min_rad)
         max_radius = min(height, width) // 2  # Limit max radius to half the image size
 
         # Process frames and detect circles
@@ -173,7 +173,8 @@ iface = gr.Interface(
         gr.Slider(minimum=10, maximum=200, value=80, step=1, label="Hough Param1 (Edge Threshold)"),
         gr.Slider(minimum=1, maximum=50, value=15, step=1, label="Hough Param2 (Accumulator Threshold)"),
         gr.Slider(minimum=10, maximum=100, value=30, step=1, label="Center Tolerance (Pixels)"),
-        gr.Slider(minimum=1, maximum=5, value=2, step=1, label="Morphological Dilation Iterations")
+        gr.Slider(minimum=1, maximum=5, value=2, step=1, label="Morphological Dilation Iterations"),
+        gr.Slider(minimum=1, maximum=100, value=30, step=1, label="Minimum Circle Radius")
     ],
     outputs=[
         gr.Textbox(label="Analysis Report"),