Deploy Fix: Disable interactive build

env/drone_3d.py

@@ -3,17 +3,17 @@ import gymnasium as gym
 from opensimplex import OpenSimplex
 import time
 
-# Try to import PyFlyt, else fallback
-try:
-    from PyFlyt.gym_envs.quadx_envs.quadx_waypoints_env import QuadXWaypointsEnv
-    PYFLYT_AVAILABLE = True
-except ImportError:
-    PYFLYT_AVAILABLE = False
-    # Create a dummy base class if PyFlyt is missing
-    class QuadXWaypointsEnv(gym.Env):
-        metadata = {"render_modes": ["human", "rgb_array"]}
-        def __init__(self, render_mode=None):
-            self.render_mode = render_mode
+# PyFlyt import removed to avoid PyBullet overhead/issues
+# try:
+#     from PyFlyt.gym_envs.quadx_envs.quadx_waypoints_env import QuadXWaypointsEnv
+#     PYFLYT_AVAILABLE = True
+# except ImportError:
+#     PYFLYT_AVAILABLE = False
+#     # Create a dummy base class if PyFlyt is missing
+#     class QuadXWaypointsEnv(gym.Env):
+#         metadata = {"render_modes": ["human", "rgb_array"]}
+#         def __init__(self, render_mode=None):
+#             self.render_mode = render_mode
 
 class WindField:
     def __init__(self, seed=42, scale=0.1, speed=1.0):

models/liquid_ppo.py

@@ -69,8 +69,8 @@ def make_liquid_ppo(env, verbose=1):
     """
     # Parallel Environments for High-Performance Training
     # A100/A10G are data hungry. We need to run physics on many CPU cores to feed them.
-    # We will use 4 parallel environments to prevent OOM/Shm issues on Space
-    n_envs = 4
+    # We will use 1 environment to debug (DummyVecEnv)
+    n_envs = 1
     env = make_vec_env(
         lambda: Drone3DEnv(render_mode=None, wind_scale=10.0, wind_speed=5.0),
         n_envs=n_envs,

train_hf.py

@@ -58,6 +58,7 @@ def train_hf(repo_id, token, total_timesteps=500000):
             repo_type="model"
         )
         print("Upload Complete!")
+        print("SCRIPT FINISHED SUCCESSFULLY")
         
     except Exception as e:
         print(f"Error uploading to Hub: {e}")