File size: 3,423 Bytes
d7ed6ed
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
import streamlit as st
import math
import pandas as pd

st.set_page_config(page_title="Mobile Calculator", page_icon="🧮", layout="centered")

# ---------------- SESSION STATE ----------------
if "expression" not in st.session_state:
    st.session_state.expression = ""

if "history" not in st.session_state:
    st.session_state.history = []

# ---------------- SAFE EVAL ----------------
def safe_eval(expr):
    allowed = {
        "sqrt": math.sqrt,
        "sin": math.sin,
        "cos": math.cos,
        "tan": math.tan,
        "log": math.log10,
        "pi": math.pi,
        "e": math.e
    }
    try:
        return eval(expr, {"__builtins__": None}, allowed)
    except:
        return "Error"

# ---------------- STYLE ----------------
st.markdown("""
<style>
body {background-color:#0f172a;}
.display {
    background:#1e293b;
    color:white;
    padding:20px;
    border-radius:20px;
    font-size:32px;
    text-align:right;
    margin-bottom:15px;
}
.stButton>button {
    height:65px;
    border-radius:20px;
    font-size:22px;
    font-weight:bold;
}
</style>
""", unsafe_allow_html=True)

st.title("🧮 Advanced Mobile Calculator")

# ---------------- DISPLAY ----------------
st.markdown(f"<div class='display'>{st.session_state.expression or '0'}</div>", unsafe_allow_html=True)

if st.session_state.expression:
    st.write("Result:", safe_eval(st.session_state.expression))

# ---------------- BUTTON FUNCTIONS ----------------
def add(val):
    st.session_state.expression += str(val)

def clear():
    st.session_state.expression = ""

def delete():
    st.session_state.expression = st.session_state.expression[:-1]

def calculate():
    result = safe_eval(st.session_state.expression)
    st.session_state.history.append(f"{st.session_state.expression} = {result}")
    st.session_state.expression = str(result)

# ---------------- FIXED MOBILE GRID ----------------
layout = [
    ["C", "DEL", "(", ")"],
    ["7", "8", "9", "/"],
    ["4", "5", "6", "*"],
    ["1", "2", "3", "-"],
    ["0", ".", "+", "="],
]

for r, row in enumerate(layout):
    cols = st.columns(4)
    for c, button in enumerate(row):

        key_name = f"btn_{r}_{c}"

        if button == "C":
            cols[c].button(button, key=key_name, on_click=clear)

        elif button == "DEL":
            cols[c].button(button, key=key_name, on_click=delete)

        elif button == "=":
            cols[c].button(button, key=key_name, on_click=calculate)

        else:
            cols[c].button(
                button,
                key=key_name,
                on_click=add,
                args=(button,)
            )

st.markdown("---")

# ---------------- SCIENTIFIC BUTTONS ----------------
st.subheader("Scientific")

sci_buttons = ["sqrt(", "sin(", "cos(", "tan(", "log(", "pi", "e"]

cols = st.columns(len(sci_buttons))

for i, btn in enumerate(sci_buttons):
    cols[i].button(
        btn,
        key=f"sci_{i}",
        on_click=add,
        args=(btn,)
    )

st.markdown("---")

# ---------------- HISTORY ----------------
st.subheader("History")

if st.session_state.history:
    for item in reversed(st.session_state.history):
        st.write(item)

    df = pd.DataFrame(st.session_state.history, columns=["Calculations"])
    st.download_button(
        "Download History",
        df.to_csv(index=False),
        file_name="history.csv"
    )
else:
    st.info("No calculations yet.")