|
|
import gradio as gr |
|
|
from solver import ( |
|
|
generate_polynomial_template, |
|
|
solve_polynomial, |
|
|
solve_linear_system |
|
|
) |
|
|
from llm_utils import explain_with_llm |
|
|
from image import image_tab |
|
|
|
|
|
with gr.Blocks() as demo: |
|
|
gr.Markdown("# 🔢 Math Solver Suite") |
|
|
gr.Markdown("Solve polynomials and systems of linear equations step-by-step with visualizations and explanations.") |
|
|
|
|
|
with gr.Tabs(): |
|
|
with gr.TabItem("📐 Polynomial Solver"): |
|
|
with gr.Row(): |
|
|
degree_slider = gr.Slider(1, 8, value=3, step=1, label="Degree of Polynomial") |
|
|
template_display = gr.Textbox(label="Polynomial Template (auto-updated)", interactive=False) |
|
|
|
|
|
coeff_input = gr.Textbox( |
|
|
label="Enter Coefficients (space-separated, supports pi, e, sqrt(2), I)", |
|
|
placeholder="e.g. 1 -3 sqrt(2) -pi" |
|
|
) |
|
|
llm_url = gr.Textbox(label="LLM Microservice URL (optional)", placeholder="https://your-llm-url.ngrok.app") |
|
|
|
|
|
steps_md = gr.Markdown() |
|
|
plot_output = gr.Plot() |
|
|
error_box = gr.Textbox(visible=False) |
|
|
poly_solution_txt = gr.Textbox(visible=False) |
|
|
|
|
|
with gr.Row(): |
|
|
solve_button = gr.Button("Plot Polynomial", variant="primary") |
|
|
explain_button = gr.Button("Explain Polynomial with LLM") |
|
|
|
|
|
degree_slider.change( |
|
|
fn=generate_polynomial_template, |
|
|
inputs=degree_slider, |
|
|
outputs=template_display |
|
|
) |
|
|
|
|
|
solve_button.click( |
|
|
fn=solve_polynomial, |
|
|
inputs=[degree_slider, coeff_input], |
|
|
outputs=[steps_md, plot_output, error_box, poly_solution_txt] |
|
|
) |
|
|
|
|
|
explain_button.click( |
|
|
fn=lambda sol, url: explain_with_llm(sol, "polynomial", url), |
|
|
inputs=[poly_solution_txt, llm_url], |
|
|
outputs=steps_md |
|
|
) |
|
|
|
|
|
with gr.TabItem("🧮 Linear Equation Solver"): |
|
|
eq1_input = gr.Textbox(label="Equation 1 (in x and y)", placeholder="e.g. 2*x + 3*y - 6") |
|
|
eq2_input = gr.Textbox(label="Equation 2 (in x and y)", placeholder="e.g. -x + y - 2") |
|
|
llm_url_linear = gr.Textbox(label="LLM Microservice URL (optional)", placeholder="https://your-llm-url.ngrok.app") |
|
|
|
|
|
sys_steps = gr.Markdown() |
|
|
sys_plot = gr.Plot() |
|
|
sys_solution_txt = gr.Textbox(visible=False) |
|
|
|
|
|
with gr.Row(): |
|
|
solve_sys_button = gr.Button("Solve Linear System", variant="primary") |
|
|
explain_sys_button = gr.Button("Explain Linear System with LLM") |
|
|
|
|
|
solve_sys_button.click( |
|
|
fn=solve_linear_system, |
|
|
inputs=[eq1_input, eq2_input], |
|
|
outputs=[sys_steps, sys_plot, sys_solution_txt] |
|
|
) |
|
|
|
|
|
explain_sys_button.click( |
|
|
fn=lambda sol, url: explain_with_llm(sol, "linear", url), |
|
|
inputs=[sys_solution_txt, llm_url_linear], |
|
|
outputs=sys_steps |
|
|
) |
|
|
|
|
|
image_tab() |
|
|
|
|
|
demo.launch() |
|
|
|
