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Update app.py
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app.py
CHANGED
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@@ -1,30 +1,134 @@
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import streamlit as st
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import sympy as sp
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import pandas as pd
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st.title("π§© AI Logic Solver")
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st.
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if expr_input:
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try:
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# Define symbols
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p, q, r = sp.symbols('p q r')
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# Convert
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expr = sp.sympify(expr_input)
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st.
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st.write(simplified)
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#
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variables = sorted(expr.free_symbols, key=lambda x: str(x))
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rows = []
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@@ -32,14 +136,24 @@ if expr_input:
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for values in range(2**len(variables)):
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combination = list(map(int, bin(values)[2:].zfill(len(variables))))
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subs = dict(zip(variables, combination))
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row = {str(var): val for var, val in subs.items()}
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row["Result"] = int(
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rows.append(row)
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df = pd.DataFrame(rows)
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st.dataframe(df)
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except Exception as e:
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st.error("β Invalid expression
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# import streamlit as st
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# import sympy as sp
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# import pandas as pd
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# st.set_page_config(page_title="Logic Solver", layout="centered")
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# st.title("π§© AI Logic Solver")
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# st.write("Enter a logical expression using:")
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# st.write("~ (NOT), & (AND), | (OR), >> (IMPLIES)")
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# # User input
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# expr_input = st.text_input("Enter expression (e.g., ~(p & q) >> r):")
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# if expr_input:
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# try:
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# # Define symbols
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# p, q, r = sp.symbols('p q r')
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# # Convert string to expression
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# expr = sp.sympify(expr_input)
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# st.subheader("π Simplified Expression:")
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# simplified = sp.simplify_logic(expr)
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# st.write(simplified)
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# # Truth table
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# st.subheader("π Truth Table:")
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# variables = sorted(expr.free_symbols, key=lambda x: str(x))
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# rows = []
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# for values in range(2**len(variables)):
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# combination = list(map(int, bin(values)[2:].zfill(len(variables))))
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# subs = dict(zip(variables, combination))
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# result = expr.subs(subs)
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# row = {str(var): val for var, val in subs.items()}
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# row["Result"] = int(bool(result))
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# rows.append(row)
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# df = pd.DataFrame(rows)
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# st.dataframe(df)
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# except Exception as e:
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# st.error("β Invalid expression. Please follow correct syntax.")
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import streamlit as st
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import sympy as sp
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import pandas as pd
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# Page config
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st.set_page_config(page_title="AI Logic Solver", layout="centered")
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# Title
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st.title("π§© AI Logic Solver")
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st.markdown("Solve logical expressions with **steps + truth table**")
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# Instructions
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st.info("Use: ~ (NOT), & (AND), | (OR), >> (IMPLIES)")
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# Quick input buttons
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col1, col2, col3, col4 = st.columns(4)
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if "expr" not in st.session_state:
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st.session_state.expr = ""
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if col1.button("p"):
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st.session_state.expr += "p"
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if col2.button("q"):
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st.session_state.expr += "q"
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if col3.button("r"):
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st.session_state.expr += "r"
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if col4.button("Clear"):
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st.session_state.expr = ""
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col5, col6, col7, col8 = st.columns(4)
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if col5.button("~"):
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st.session_state.expr += "~"
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if col6.button("&"):
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st.session_state.expr += " & "
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if col7.button("|"):
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st.session_state.expr += " | "
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if col8.button(">>"):
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st.session_state.expr += " >> "
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# Input box
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expr_input = st.text_input("Enter expression:", value=st.session_state.expr)
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# Process
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if expr_input:
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try:
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# Define symbols
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p, q, r = sp.symbols('p q r')
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# Convert expression
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expr = sp.sympify(expr_input)
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st.success("β
Expression parsed successfully!")
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# =========================
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# STEP-BY-STEP (Basic)
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# =========================
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st.subheader("π§ Step-by-Step Simplification")
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steps = []
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# Step 1: Original
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steps.append(f"Original: {expr}")
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# Step 2: Remove implication
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expr_no_impl = expr.replace(
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lambda x: isinstance(x, sp.Implies),
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lambda x: ~x.args[0] | x.args[1]
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)
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steps.append(f"Remove implication: {expr_no_impl}")
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# Step 3: Simplify
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simplified = sp.simplify_logic(expr_no_impl)
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steps.append(f"Simplified: {simplified}")
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for step in steps:
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st.write("β‘οΈ", step)
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# Final simplified
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st.subheader("π Final Simplified Expression:")
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st.write(simplified)
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# =========================
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# TRUTH TABLE
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# =========================
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st.subheader("π Truth Table")
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variables = sorted(expr.free_symbols, key=lambda x: str(x))
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rows = []
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for values in range(2**len(variables)):
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combination = list(map(int, bin(values)[2:].zfill(len(variables))))
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subs = dict(zip(variables, combination))
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result = bool(expr.subs(subs)) # β
FIXED
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row = {str(var): val for var, val in subs.items()}
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row["Result"] = int(result)
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rows.append(row)
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df = pd.DataFrame(rows)
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st.dataframe(df, use_container_width=True)
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# Download option
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st.download_button(
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"π₯ Download Truth Table",
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df.to_csv(index=False),
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file_name="truth_table.csv",
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mime="text/csv"
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)
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except Exception as e:
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st.error(f"β Invalid expression: {str(e)}")
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st.info("π‘ Example: ~(p & q) >> r")
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