18Barz commited on
Commit
09b9e77
1 Parent(s): fe12966

Upload app.py

Browse files
Files changed (1) hide show
  1. app.py +101 -0
app.py ADDED
@@ -0,0 +1,101 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import streamlit as st
2
+ import pandas as pd
3
+ from datetime import datetime, timedelta
4
+ import numpy as np
5
+ import altair as alt
6
+
7
+ # Page configuration
8
+ st.set_page_config(page_title="Mminer Dashboard", page_icon="⛏️", layout="wide")
9
+
10
+ # Title and description
11
+ st.title("Mminer Dashboard")
12
+ st.markdown("Welcome to the Mminer platform. Monitor your mining activities and token balance.")
13
+
14
+ # Sidebar
15
+ st.sidebar.header("User Info")
16
+ user_name = st.sidebar.text_input("Username")
17
+ user_balance = st.sidebar.number_input("Token Balance", min_value=0.0, format="%.2f")
18
+
19
+ # Main dashboard area
20
+ col1, col2 = st.columns(2)
21
+
22
+ with col1:
23
+ st.subheader("Mining Activity")
24
+
25
+ # Simulated mining data
26
+ dates = [datetime.now() - timedelta(days=x) for x in range(30)]
27
+ hash_rates = [100 + x * 2 for x in range(30)] # Simulated increasing hash rate
28
+
29
+ df = pd.DataFrame({"Date": dates, "Hash Rate (MH/s)": hash_rates})
30
+
31
+ st.line_chart(df.set_index("Date"))
32
+
33
+ with col2:
34
+ st.subheader("Token Distribution")
35
+
36
+ # Simulated token distribution data
37
+ distribution = {
38
+ "Mining Rewards": 5000,
39
+ "Staking": 3000,
40
+ "Purchases": 1500,
41
+ "Airdrops": 500
42
+ }
43
+
44
+ st.bar_chart(distribution)
45
+
46
+ # Mining control section
47
+ st.header("Mining Control")
48
+ col3, col4 = st.columns(2)
49
+
50
+ with col3:
51
+ st.subheader("Start/Stop Mining")
52
+ if st.button("Start Mining"):
53
+ st.success("Mining started successfully!")
54
+ if st.button("Stop Mining"):
55
+ st.error("Mining stopped.")
56
+
57
+ with col4:
58
+ st.subheader("Mining Pool")
59
+ selected_pool = st.selectbox("Select Mining Pool", ["Pool A", "Pool B", "Pool C"])
60
+ st.write(f"Currently mining with: {selected_pool}")
61
+
62
+ # Token transaction section
63
+ st.header("Token Transactions")
64
+ transaction_amount = st.number_input("Amount", min_value=0.0, format="%.2f")
65
+ recipient = st.text_input("Recipient Address")
66
+ if st.button("Send Tokens"):
67
+ st.success(f"Successfully sent {transaction_amount} tokens to {recipient}")
68
+
69
+ # Theremin-like feature
70
+ st.header("Mminer Theremin")
71
+ st.markdown("Use this theremin-like feature to 'hear' your mining activity!")
72
+
73
+ # Simulated theremin controls
74
+ frequency = st.slider("Frequency (representing hash rate)", 200, 2000, 440)
75
+ volume = st.slider("Volume (representing token balance)", 0.0, 1.0, 0.5)
76
+
77
+ # Generate a short sound sample
78
+ duration = 3 # seconds
79
+ sample_rate = 44100
80
+ t = np.linspace(0, duration, int(sample_rate * duration), False)
81
+ note = np.sin(frequency * t * 2 * np.pi)
82
+ audio = note * volume
83
+
84
+ # Display audio waveform
85
+ audio_df = pd.DataFrame({"time": t, "amplitude": audio})
86
+ chart = alt.Chart(audio_df).mark_line().encode(
87
+ x="time",
88
+ y="amplitude"
89
+ ).properties(
90
+ width=600,
91
+ height=200
92
+ )
93
+ st.altair_chart(chart)
94
+
95
+ # Play button for the audio
96
+ if st.button("Play Theremin"):
97
+ st.audio(audio, sample_rate=sample_rate)
98
+
99
+ # Footer
100
+ st.markdown("---")
101
+ st.markdown("© 2024 Mminer. All rights reserved.")