Update app.py

app.py

@@ -176,6 +176,7 @@ st.markdown("""
     .block-container {
         padding-top: 2rem;
         padding-bottom: 2rem;
+        max-width: 1200px;
     }
     </style>
 """, unsafe_allow_html=True)
@@ -213,28 +214,19 @@ if 'func' in st.session_state and 'gradient_func' in st.session_state:
             grad_val = st.session_state.gradient_func(x_old)
             x_new = x_old - learning_rate * grad_val
 
-            tolerance = 0.001
-            if abs(x_new - x_old) < tolerance or abs(grad_val) < tolerance:
-                st.success(f"Reached Minima at x = {x_new:.6f}")
-            else:
-                st.session_state.points.append(x_new)
-                st.session_state.step += 1
-                st.success(f"Iteration {st.session_state.step} Complete!")
+            st.session_state.points.append(x_new)
+            st.session_state.step += 1
+            st.success(f"Iteration {st.session_state.step} Complete!")
         except Exception as e:
             st.error(f"Error in iteration: {e}")
 
     if st.button("Run Iterations"):
         try:
-            tolerance = 0.001
             for i in range(num_iterations):
                 x_old = float(st.session_state.points[-1])
                 grad_val = st.session_state.gradient_func(x_old)
                 x_new = x_old - learning_rate * grad_val
 
-                if abs(x_new - x_old) < tolerance or abs(grad_val) < tolerance:
-                    st.success(f"Reached Minima early at x = {x_new:.6f} (after {i+1} steps)")
-                    break
-
                 st.session_state.points.append(x_new)
                 st.session_state.step += 1