Update app.py

app.py

@@ -1,9 +1,25 @@
+import csv
+import sys
 import numpy as np
 import plotly.graph_objects as go
 import gradio as gr
 from scipy.spatial import Delaunay
 import traceback
 
+# --- FIX for CSV Field Size Limit ---
+# Increase the CSV field size limit to handle large Plotly JSON objects that are
+# generated when Gradio's Examples component tries to log the output.
+# This is the most robust way to set the limit to the maximum supported by the system.
+max_int = sys.maxsize
+while True:
+    try:
+        csv.field_size_limit(max_int)
+        break
+    except OverflowError:
+        max_int = int(max_int / 10)
+# -----------------------------------------
+
+
 def solve_and_plot_interactive(Lx: float,
                                Ly: float,
                                t_max: float,
@@ -14,8 +30,7 @@ def solve_and_plot_interactive(Lx: float,
                                initial: str = "gaussian",
                                bc: str = "dirichlet"):
     """
-    Solves the 2D heat equation and returns an interactive Plotly figure
-    that can be rendered in a web browser.
+    Solves the 2D heat equation and returns an interactive Plotly figure.
     """
     # --- 1. Simulation Setup ---
     x = np.linspace(0, Lx, Nx)
@@ -114,14 +129,10 @@ def gradio_interface(lx, ly, t_max, m_steps, gamma, nx, ny, initial, bc):
             Lx=lx, Ly=ly, t_max=t_max, M=m_steps, Gamma=gamma, Nx=nx, Ny=ny,
             initial=initial, bc=bc
         )
-        # On success, return the figure to the Plot component
         return fig
     except Exception as e:
-        # If any error occurs, create a text-based error to show in the UI
-        # This prevents the app from crashing.
         error_text = traceback.format_exc()
-        print(error_text) # Print the full error to the logs for debugging
-        # Return a placeholder Plotly figure with the error message
+        print(error_text)
         error_fig = go.Figure().update_layout(
             title_text="⚠️ Application Error",
             annotations=[dict(text=f"An error occurred: {e}", showarrow=False)]
@@ -136,7 +147,6 @@ with gr.Blocks(theme=gr.themes.Soft(), title="2D Heat Simulator") as demo:
     with gr.Row():
         with gr.Column(scale=1):
             gr.Markdown("## Simulation Parameters")
-            # Reduced max values to be safer on free hardware
             lx_slider = gr.Slider(0.1, 5.0, 1.0, 0.1, label="Lx")
             ly_slider = gr.Slider(0.1, 5.0, 1.0, 0.1, label="Ly")
             nx_slider = gr.Slider(10, 80, 40, 1, label="Nx (Grid Points X)")
@@ -160,7 +170,6 @@ with gr.Blocks(theme=gr.themes.Soft(), title="2D Heat Simulator") as demo:
     run_btn.click(fn=gradio_interface, inputs=inputs_list, outputs=plot_output)
     
     gr.Examples(
-        # Using more modest values in the examples
         examples=[
             [1.0, 1.0, 0.5, 30, 0.1, 30, 30, "gaussian", "dirichlet"],
             [2.0, 1.0, 1.0, 40, 0.05, 40, 20, "sinusoidal", "periodic"],
@@ -168,7 +177,6 @@ with gr.Blocks(theme=gr.themes.Soft(), title="2D Heat Simulator") as demo:
         inputs=inputs_list,
         outputs=plot_output,
         fn=gradio_interface,
-        # Set cache_examples to False to prevent crashes on startup
         cache_examples=False
     )