import streamlit as st
import matplotlib.pyplot as plt

# Title
st.title("Interactive Equation Plotter")

# Sidebar sliders
st.sidebar.header("Controls")
x = st.sidebar.slider('X position', min_value=-100.0, max_value=100.0, value=0.0, step=1.0)
w = st.sidebar.slider('W (slope)', min_value=-10.0, max_value=10.0, value=1.0, step=0.1)
b = st.sidebar.slider('B (intercept)', min_value=-100.0, max_value=100.0, value=0.0, step=1.0)

# Calculate y based on the equation y = w * x + b
y = w * x + b

# Create the plot
fig, ax = plt.subplots(figsize=(6, 4))
fig.subplots_adjust(top=0.8, bottom=0.1)

# Plot for the y-axis (top line)
ax.hlines(1, -100, 100, color='blue', linestyle='--')  # Y-axis
ax.plot(y, 1, 'ro')  # Plot the y point

# Plot for the x-axis (bottom line)
ax.hlines(-1, -100, 100, color='blue', linestyle='--')  # X-axis
ax.plot(x, -1, 'ro')  # Plot the x point

# Set plot limits and labels
ax.set_xlim(-100, 100)
ax.set_ylim(-2, 2)
ax.set_xlabel('X-axis and Y-axis')
ax.set_yticks([])  # Hide y-axis ticks
ax.set_title(f'y = {w} * x + {b}')
ax.grid(True)

# Display the plot in Streamlit
st.pyplot(fig)