Create app.py

app.py

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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
+
+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
+            )
+
+    demo.launch()