-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathquick-start
More file actions
126 lines (89 loc) · 2.56 KB
/
quick-start
File metadata and controls
126 lines (89 loc) · 2.56 KB
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
Quick Start Guide - 5 Minutes
Option 1: Run from Python (Recommended for Developers)
Step 1: Clone or Download
bash
# Clone the repository
git clone https://github.com/Kretski/GravOptAdaptiveE.git
cd GravOptAdaptiveE
Or download as ZIP and extract.
Step 2: Install Dependencies
bash
# Install required packages
pip install -r requirements.txt
Step 3: Run the Application
bash
# Start Azuro AI
python azuro_complete_fixed.py
Option 2: Run EXE (For Users Without Python)
Step 1: Download EXE
Go to Releases
Download the latest AzuroAI.exe
Save to your Desktop or preferred folder
Step 2: Run
Double-click AzuroAI.exe
If Windows shows security warning:
Click "More info"
Click "Run anyway"
Application opens automatically
Step 3: First Launch
License file azuro_license.dat is created automatically
You have 20 free launches remaining
License is machine-locked to your computer
🎯 First Analysis Example: Engine Optimization
Step 1: Select Domain
Choose "Aerospace" from the dropdown menu
Step 2: Set Parameters
Adjust the sliders to these values:
Mach Number: 1.5 (0-5 range)
Altitude: 10,000 m (0-50,000 m)
Thrust: 150 kN (0-500 kN)
Step 3: Run Analysis
Click "Run Simulation" button
Step 4: View Results
text
📊 Results:
• Efficiency: 0.723
• Stability: 0.856
• Combined Score: 0.789
Step 5: Visualize
Click "Visualizations" to see:
Heatmap of parameter relationships
3D efficiency surface (opens in browser)
Parameter vs Efficiency plots
🔬 Try Other Domains
Chemical Process Optimization
Domain: "Chemical"
Parameters: Temp=350°C, Pressure=10 bar, Flow=2.5 L/min
Battery Performance
Domain: "Battery"
Parameters: Voltage=3.7V, Current=2.0A, Temp=25°C
Biomedical Drug Delivery
Domain: "Biomedical"
Parameters: pH=7.4, Temp=37°C, Time=60 min
📊 Understanding Your Results
Value Range Meaning
Efficiency 0-1 How optimal the process is
Stability 0-1 How stable/reliable the system is
Combined Score 0-1 Overall performance metric
🔒 License Info
First run: Creates azuro_license.dat
Free trials: 20 launches
After 20: Contact kretski1@gmail.com for commercial license
❓ Troubleshooting
"No module named 'Crypto'"
bash
pip uninstall Crypto -y
pip install pycryptodome
Application doesn't start
bash
# Check Python version
python --version # Must be 3.8 or higher
# Reinstall dependencies
pip install -r requirements.txt --force-reinstall
Windows Defender blocks EXE
Click "More info" on the warning
Click "Run anyway"
Or add folder to Windows Defender exclusions
📧 Need Help?
Email: kretski1@gmail.com
GitHub Issues: Open an issue in this repository