Update app.py

app.py

@@ -23,7 +23,7 @@ with gr.Blocks() as app:
                 outputs=[die_output, visualization_output],
             )
 
-     with gr.Tab("Stress Analysis"):
+        with gr.Tab("Stress Analysis"):
             gr.Markdown("### Select Simulation Tool and Enter Parameters for Stress Analysis")
             force = gr.Number(label="Force (N)", value=10000)
             die_width = gr.Number(label="Width (m)", value=0.05)
@@ -38,24 +38,24 @@ with gr.Blocks() as app:
             stress_chart = gr.Plot()
             stress_button = gr.Button("Analyze Stress")
             stress_button.click(
-               lambda f, dw, dh, ms, tc, a, em, fs: stress_analysis(f, dw, dh, ms, tc, a, em, fs),
-              inputs=[force, die_width, die_height, material_strength, temperature_change, alpha, elastic_modulus, fatigue_strength],
-               outputs=[safety_factor_output, stress_chart],
+                lambda f, dw, dh, ms, tc, a, em, fs: stress_analysis(f, dw, dh, ms, tc, a, em, fs),
+                inputs=[force, die_width, die_height, material_strength, temperature_change, alpha, elastic_modulus, fatigue_strength],
+                outputs=[safety_factor_output, stress_chart],
             )
 
         with gr.Tab("Tool Optimization"):
             gr.Markdown("### Enter Machining Parameters for Tool Optimization")
             speed = gr.Number(label="Cutting Speed (m/min)", value=100)
             feed_rate = gr.Number(label="Feed Rate (mm/rev)", value=0.2)
-           depth_of_cut = gr.Number(label="Depth of Cut (mm)", value=1.0)
-           material = gr.Dropdown(choices=["Steel", "Aluminum", "Titanium"], label="Material", value="Steel")
+            depth_of_cut = gr.Number(label="Depth of Cut (mm)", value=1.0)
+            material = gr.Dropdown(choices=["Steel", "Aluminum", "Titanium"], label="Material", value="Steel")
             optimization_results = gr.JSON(label="Optimization Results")
             optimize_button = gr.Button("Optimize Tool")
             optimize_button.click(
                 lambda s, fr, dc, m: optimize_tool(s, fr, dc, m),
                 inputs=[speed, feed_rate, depth_of_cut, material],
-               outputs=optimization_results,
+                outputs=optimization_results,
             )
 
- #Launch the app
+# Launch the app
 app.launch()