Update app.py

app.py

@@ -1,72 +1,28 @@
 import gradio as gr
 import cv2
 import numpy as np
-import heapq
-
-def compute_edge_costs(image):
-    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
-    gradient = cv2.Laplacian(gray, cv2.CV_64F)
-    edge_costs = np.abs(gradient)
-    return edge_costs
-
-def dijkstra(edge_costs, start_point, end_point):
-    h, w = edge_costs.shape
-    visited = np.zeros((h, w), dtype=bool)
-    distances = np.full((h, w), float('inf'))
-    distances[start_point[1], start_point[0]] = 0
-    pq = [(0, start_point)]
-    
-    while pq:
-        curr_dist, (x, y) = heapq.heappop(pq)
-
-        if visited[y, x]:
-            continue
-        visited[y, x] = True
-
-        for dx in [-1, 0, 1]:
-            for dy in [-1, 0, 1]:
-                nx, ny = x + dx, y + dy
-                if 0 <= nx < w and 0 <= ny < h:
-                    new_dist = curr_dist + edge_costs[ny, nx]
-                    if new_dist < distances[ny, nx]:
-                        distances[ny, nx] = new_dist
-                        heapq.heappush(pq, (new_dist, (nx, ny)))
-
-    # Backtrack to find path from end to start
-    path = []
-    curr_point = end_point
-    while curr_point != start_point:
-        x, y = curr_point
-        path.append(curr_point)
-        min_dist = distances[y, x]
-        for dx in [-1, 0, 1]:
-            for dy in [-1, 0, 1]:
-                nx, ny = x + dx, y + dy
-                if 0 <= nx < w and 0 <= ny < h and distances[ny, nx] < min_dist:
-                    min_dist = distances[ny, nx]
-                    curr_point = (nx, ny)
-    path.append(start_point)
-    
-    return path
-
-def segment_image(image, points):
-    edge_costs = compute_edge_costs(image)
-    
-    start_point = tuple(map(int, points[0]))
-    end_point = tuple(map(int, points[-1]))
-    
-    path = dijkstra(edge_costs, start_point, end_point)
-    
-    mask = np.zeros_like(image)
-    for x, y in path:
-        cv2.circle(mask, (x, y), 2, (0, 255, 0), -1)
-    return mask
-
-interface = gr.Interface(
-    segment_image,
-    inputs=[gr.inputs.Image(shape=(200, 200)), gr.inputs.Drawing(label="Draw Seed Points or Paths")],
-    outputs=gr.outputs.Image(shape=(200, 200)),
-    live=True
-)
-
-interface.launch()
+from flask import Flask, render_template
+
+# A placeholder function; Actual LiveWire code would be much more involved
+def live_wire_segmentation(image, points):
+    # This is a placeholder. Implement actual live wire segmentation here.
+    return image
+
+def main_app():
+    interface = gr.Interface(
+        fn=live_wire_segmentation,
+        inputs=["image", gr.inputs.Sketchpad()],  # You may have to adjust this for latest version of Gradio
+        outputs="image",
+        live=True
+    )
+    interface.launch()
+
+app = Flask(__name__)
+
+@app.route('/')
+def index():
+    main_app()
+    return "Gradio App Running!"
+
+if __name__ == "__main__":
+    app.run(debug=True)