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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 # ✅ Now handles Pix2Text internally
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() # ✅ Now no argument required
demo.launch()
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