fix: numpy float issue

app.py

@@ -101,8 +101,8 @@ def run_inference(image: np.ndarray, model_name: str) -> tuple[np.ndarray, str]:
         heatmaps = F.sigmoid(output).cpu().squeeze(0)
         c, h, w = heatmaps.shape
         heatmaps = heatmaps.view(c, -1).argmax(dim=1).numpy()
-        ys = (heatmaps // w).float() / (h / 2) - 1
-        xs = (heatmaps % w).float() / (w / 2) - 1
+        ys = (heatmaps // w).astype(float) / (h / 2) - 1
+        xs = (heatmaps % w).astype(float) / (w / 2) - 1
         kps = np.stack([xs, ys], axis=1)
         kps = kps[np.newaxis]
         kp_img = draw_keypoints(img, kps, f"{model_name} — heatmap-based")