Add Docstring the simulate_and_render function

app.py

@@ -4,16 +4,33 @@ os.environ["MUJOCO_GL"] = "osmesa"  # or "egl" if you switch to EGL support
 import gradio as gr
 from tray_sim import run_tray_simulation
 
-def simulate_and_render(seed: int, azimuth: float=35, elevation: float=-20, distance: float=1.0):
-    #gif_path = run_tray_simulation(seed=seed, azimuth=azimuth, elevation=elevation, distance=distance)
-    #gif_path, stability_flags = run_tray_simulation(seed=seed, azimuth=azimuth, elevation=elevation, distance=distance)
+def simulate_and_render(
+    seed: int,
+    azimuth: float = 35,
+    elevation: float = -20,
+    distance: float = 1.0
+):
+    """
+    Runs a TraySim simulation with the specified camera parameters and renders the result.
+
+    Parameters:
+        seed (int): Random seed for simulation initialization, affects object placement and dynamics.
+        azimuth (float, optional): Horizontal camera angle in degrees. Default is 35.
+        elevation (float, optional): Vertical camera angle in degrees. Default is -20.
+        distance (float, optional): Distance of the camera from the scene. Default is 1.0.
+
+    Returns:
+        str: Path to the rendered GIF file showing the simulation from the specified viewpoint.
+    """
     gif_path, stability_flags, physics_state, llm_friendly_output, json_path  = run_tray_simulation(
         seed=seed,
         azimuth=azimuth,
         elevation=elevation,
         distance=distance
     )
-    print("Stability: ", stability_flags)  # Optional debug
+
+    # Optional debug
+    print("Stability: ", stability_flags)
     print("Physics State: ", physics_state)
     print("LLM Output: ", llm_friendly_output)
     print("JSON Path: ", json_path)