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Update app.py
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app.py
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import streamlit as st
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import sympy as sp
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import re
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# 1.
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st.set_page_config(page_title="SAAD AI ACADEMY", layout="centered")
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# 2.
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<style>
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.stApp { background: #0f172a; color: white; }
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h1, h2, h3 { color: #3b82f6 !important; }
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.stTextInput > div > div > input { background-color: #1e293b; color: white; border: 1px solid #3b82f6; }
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</style>
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""", unsafe_allow_html=True)
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st.title("π SAAD AI ACADEMY")
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st.subheader("B.Sc. Math Engine v6.0 (Zero-Error Logic)")
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# 3. COMPUTATION ENGINE
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def solve_math(query):
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try:
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# A. HANDLE LINEAR CONGRUENCE: "solve 14x = 30 mod 44"
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if "mod" in query.lower():
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# Extract numbers using Regex
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nums = re.findall(r'\d+', query)
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if len(nums) >= 3:
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a, b, n = map(int, nums[:3])
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return f"The solutions are: x \equiv {solutions} \pmod{{{n}}}"
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return "Format error. Try: 'solve 14x = 30 mod 44'"
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# B. HANDLE DERIVATIVES: "derivative of x**2 + 5*x"
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if "derivative" in query.lower() or "diff" in query.lower():
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expr_str = query.split("of")[-1].strip()
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expr = sp.sympify(expr_str)
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return sp.diff(expr, x)
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# C. HANDLE INTEGRALS: "integrate x**2"
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if "integrate" in query.lower():
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expr_str = query.split("integrate")[-1].strip()
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expr = sp.sympify(expr_str)
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return sp.integrate(expr, x)
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#
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except Exception as e:
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return f"
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user_input = st.text_input("Enter your problem:", placeholder="e.g., solve 14x = 30 mod 44")
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if user_input:
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st.
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st.
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if isinstance(
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st.
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else:
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st.latex(sp.latex(res))
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#
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st.sidebar.
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st.sidebar.write("**Name:** Almuyed Saad")
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st.sidebar.write("**Inst:** SUST")
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st.sidebar.info("This engine uses SymPy for symbolic math, ensuring 100% precision for B.Sc. coursework.")
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import streamlit as st
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import sympy as sp
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import re
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from sympy.ntheory.modular import solve_linear_congruence
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# 1. SETUP
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st.set_page_config(page_title="SAAD AI ACADEMY", layout="centered")
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# 2. THE UNIVERSAL SOLVER FUNCTION
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def universal_solver(query):
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try:
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# A. Check for Modular Congruence first (special case)
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if "mod" in query.lower():
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nums = re.findall(r'\d+', query)
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if len(nums) >= 3:
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a, b, n = map(int, nums[:3])
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sol = solve_linear_congruence(a, b, n)
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return f"Number Theory Result: x β‘ {sol[0]} (mod {sol[1]})" if sol else "No Solution."
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# B. For everything else (Calculus, Algebra, Limits)
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# We clean the query to remove words like "solve" or "find"
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clean_query = query.lower().replace("solve", "").replace("find", "").replace("the", "").strip()
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# SymPy turns your text into a math expression
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obj = sp.sympify(clean_query)
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# If it's an equation (has an '='), solve it
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if "=" in query:
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parts = query.split("=")
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equation = sp.Eq(sp.sympify(parts[0]), sp.sympify(parts[1]))
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return sp.solve(equation)
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# Otherwise, just simplify or "do" the math (like derivatives)
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return sp.simplify(obj)
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except Exception as e:
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return f"Enter a valid math expression (e.g., x**2 + 5*x or 14x=30 mod 44). Error: {e}"
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# 3. UI
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st.title("π SAAD AI ACADEMY")
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st.write("Enter any B.Sc. Level problem (Algebra, Calculus, Number Theory)")
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user_input = st.text_input("Input:", placeholder="e.g. diff(sin(x)*exp(x), x) or x**2 - 5*x + 6 = 0")
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if user_input:
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result = universal_solver(user_input)
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st.divider()
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st.subheader("Result:")
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if isinstance(result, (list, tuple, sp.Basic)):
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st.latex(sp.latex(result))
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else:
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st.write(result)
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# 4. SIDEBAR
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st.sidebar.info("Universal Mode: Uses SymPy Symbolic Parsing.")
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