Update app.py

app.py

@@ -1,139 +1,3 @@
-# import streamlit as st
-# import numpy as np 
-# import sympy as sp
-# import plotly.graph_objs as go
-
-# st.set_page_config(page_title="Gradient Descent Visualizer", layout="wide")
-
-
-# # Custom CSS for styling
-# st.markdown("""
-#     <style>
-#     /* Page background */
-#     .stApp {
-#         background-color: #f9f9f9;
-#         font-family: 'Segoe UI', sans-serif;
-#     }
-
-#     /* Title */
-#     h1 {
-#         text-align: center;
-#         color: #2C3E50;
-#         font-size: 38px !important;
-#         font-weight: bold;
-#         margin-bottom: 20px;
-#     }
-
-#     /* Input boxes */
-#     .stTextInput > div > div > input {
-#         border: 2px solid #3498DB;
-#         border-radius: 8px;
-#         padding: 8px;
-#     }
-
-#     /* Buttons */
-#     div.stButton > button {
-#         background-color: #3498DB;
-#         color: white;
-#         border-radius: 10px;
-#         padding: 10px 24px;
-#         font-size: 16px;
-#         border: none;
-#         transition: 0.3s;
-#     }
-#     div.stButton > button:hover {
-#         background-color: #2980B9;
-#         transform: scale(1.05);
-#     }
-
-#     /* Success / Error messages */
-#     .stAlert {
-#         border-radius: 8px;
-#     }
-
-#     /* Chart section */
-#     .block-container {
-#         padding-top: 2rem;
-#         padding-bottom: 2rem;
-#     }
-#     </style>
-# """, unsafe_allow_html=True)
-
-
-# st.title("Gradient Descent Visualizer")
-
-# x = sp.Symbol("x")
-# # User input function, starting point, and learning rate
-# func_input = st.text_input("Enter Function", "x^2")
-# start_point = float(st.text_input("Starting Point", "2"))
-# learning_rate = float(st.text_input("Learning Rate", "0.01"))
-
-# if st.button("Set Up") or 'func' not in st.session_state or 'points' not in st.session_state:
-#     try:
-#         expr = func_input.replace("^", "**")
-#         expr_final = sp.sympify(expr)
-#         func = sp.lambdify(x, expr_final, "numpy")
-#         grad = sp.diff(expr_final, x)
-#         gradient_func = sp.lambdify(x, grad, "numpy")
-        
-#         st.session_state.func = func
-#         st.session_state.gradient_func = gradient_func
-#         st.session_state.points = [start_point]
-#         st.session_state.step = 0
-#         st.success("Function and Gradient Set Up Successfully!")
-    
-#     except Exception as e:
-#         st.error(f"Error setting up function: {e}")
-
-# # Gradient Descent Iteration button
-# if 'func' in st.session_state and 'gradient_func' in st.session_state:
-#     if st.button("Next Iteration"):
-#         try:
-#             # Get the current point and gradient value
-#             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
-            
-#             # Append the new point to the list of points
-#             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}")
-
-# # Creating the plot
-# if 'func' in st.session_state and len(st.session_state.points) > 0:
-#     try:
-#         # Create x-values for plotting the function
-#         x_val = np.linspace(-10, 10, 500)
-#         y_val = st.session_state.func(x_val)
-        
-#         iter_points = np.array(st.session_state.points)
-#         iter_y = st.session_state.func(iter_points)
-
-#         trace1 = go.Scatter(x=x_val, y=y_val, mode="lines", name="Function", line=dict(color="blue"))
-#         trace2 = go.Scatter(x=iter_points, y=iter_y, mode="markers+lines", name="Gradient Descent Path", marker=dict(color="red"))
-#         trace3 = go.Scatter(x=[iter_points[-1]], y=[iter_y[-1]], mode='markers+text', 
-#                             marker=dict(color='green', size=15), 
-#                             text=[f"{iter_points[-1]:.6f}"], textposition="top center", 
-#                             name="Current Point")
-        
-#         layout = go.Layout(
-#             title=f"Iteration {st.session_state.step}",
-#             xaxis=dict(title="x - axis"),
-#             yaxis=dict(title="y - axis")
-#         )
-        
-#         fig = go.Figure(data=[trace1, trace2, trace3], layout=layout)
-#         st.plotly_chart(fig, use_container_width=True)
-#         st.success(f"Current Point = {iter_points[-1]}")
-
-#     except Exception as e:
-#         st.error(f"Plot error: {e}")
-
-
 import streamlit as st
 import numpy as np 
 import sympy as sp