Introduced a run_counter in app.py to track the number of simulation runs, ensuring each run has a distinct identifier.

tray_sim.py

@@ -189,7 +189,8 @@ def run_tray_simulation(
     num_objects=N_OBJECTS,
     azimuth=45,
     elevation=-25,
-    distance=0.6
+    distance=0.6,
+    unique_id=None  # Unique file naming
 ):
     np.random.seed(seed)
     model = mujoco.MjModel.from_xml_path(MODEL_PATH)
@@ -286,7 +287,8 @@ def run_tray_simulation(
         img = renderer.render()
 
         if t in keyframes:
-            imageio.imwrite(f"/tmp/frame_{t}.png", img)
+            #imageio.imwrite(f"/tmp/frame_{t}.png", img)
+            imageio.imwrite(f"/tmp/frame_{t}_{unique_id}.png", img)
 
         frames.append(img)
 
@@ -319,7 +321,9 @@ def run_tray_simulation(
     }
 
     # Save JSON Snapshot (optional, for LLM input/debugging)
-    json_path = os.path.join(tempfile.gettempdir(), f"tray_sim_{seed}_state.json")
+    #json_path = os.path.join(tempfile.gettempdir(), f"tray_sim_{seed}_state.json")
+    # Save JSON with unique ID
+    json_path = os.path.join(tempfile.gettempdir(), f"tray_sim_{unique_id}_state.json")
     with open(json_path, "w") as f:
         json.dump(physics_state, f, indent=2)
 
@@ -331,7 +335,9 @@ def run_tray_simulation(
     )
 
     # Save to GIF
-    gif_path = os.path.join(tempfile.gettempdir(), f"tray_sim_{seed}.gif")
+    #gif_path = os.path.join(tempfile.gettempdir(), f"tray_sim_{seed}.gif")
+    # Save GIF with unique ID
+    gif_path = os.path.join(tempfile.gettempdir(), f"tray_sim_{unique_id}.gif")
     imageio.mimsave(gif_path, frames, fps=20)
 
     return gif_path, stability_flags, physics_state, prompt, json_path # optionally also return json_path