Spaces:
Configuration error
Configuration error
update
Browse files- app.py → Home.py +0 -0
- data.csv +0 -101
- pages/Help.py +68 -0
app.py → Home.py
RENAMED
|
File without changes
|
data.csv
DELETED
|
@@ -1,101 +0,0 @@
|
|
| 1 |
-
0,First Name,Last Name,Gender,Country,Age,Date,Id
|
| 2 |
-
1,Dulce,Abril,Female,United States,32,15/10/2017,1562
|
| 3 |
-
2,Mara,Hashimoto,Female,Great Britain,25,16/08/2016,1582
|
| 4 |
-
3,Philip,Gent,Male,France,36,21/05/2015,2587
|
| 5 |
-
4,Kathleen,Hanner,Female,United States,25,15/10/2017,3549
|
| 6 |
-
5,Nereida,Magwood,Female,United States,58,16/08/2016,2468
|
| 7 |
-
6,Gaston,Brumm,Male,United States,24,21/05/2015,2554
|
| 8 |
-
7,Etta,Hurn,Female,Great Britain,56,15/10/2017,3598
|
| 9 |
-
8,Earlean,Melgar,Female,United States,27,16/08/2016,2456
|
| 10 |
-
9,Vincenza,Weiland,Female,United States,40,21/05/2015,6548
|
| 11 |
-
10,Fallon,Winward,Female,Great Britain,28,16/08/2016,5486
|
| 12 |
-
11,Arcelia,Bouska,Female,Great Britain,39,21/05/2015,1258
|
| 13 |
-
12,Franklyn,Unknow,Male,France,38,15/10/2017,2579
|
| 14 |
-
13,Sherron,Ascencio,Female,Great Britain,32,16/08/2016,3256
|
| 15 |
-
14,Marcel,Zabriskie,Male,Great Britain,26,21/05/2015,2587
|
| 16 |
-
15,Kina,Hazelton,Female,Great Britain,31,16/08/2016,3259
|
| 17 |
-
16,Shavonne,Pia,Female,France,24,21/05/2015,1546
|
| 18 |
-
17,Shavon,Benito,Female,France,39,15/10/2017,3579
|
| 19 |
-
18,Lauralee,Perrine,Female,Great Britain,28,16/08/2016,6597
|
| 20 |
-
19,Loreta,Curren,Female,France,26,21/05/2015,9654
|
| 21 |
-
20,Teresa,Strawn,Female,France,46,21/05/2015,3569
|
| 22 |
-
21,Belinda,Partain,Female,United States,37,15/10/2017,2564
|
| 23 |
-
22,Holly,Eudy,Female,United States,52,16/08/2016,8561
|
| 24 |
-
23,Many,Cuccia,Female,Great Britain,46,21/05/2015,5489
|
| 25 |
-
24,Libbie,Dalby,Female,France,42,21/05/2015,5489
|
| 26 |
-
25,Lester,Prothro,Male,France,21,15/10/2017,6574
|
| 27 |
-
26,Marvel,Hail,Female,Great Britain,28,16/08/2016,5555
|
| 28 |
-
27,Angelyn,Vong,Female,United States,29,21/05/2015,6125
|
| 29 |
-
28,Francesca,Beaudreau,Female,France,23,15/10/2017,5412
|
| 30 |
-
29,Garth,Gangi,Male,United States,41,16/08/2016,3256
|
| 31 |
-
30,Carla,Trumbull,Female,Great Britain,28,21/05/2015,3264
|
| 32 |
-
31,Veta,Muntz,Female,Great Britain,37,15/10/2017,4569
|
| 33 |
-
32,Stasia,Becker,Female,Great Britain,34,16/08/2016,7521
|
| 34 |
-
33,Jona,Grindle,Female,Great Britain,26,21/05/2015,6458
|
| 35 |
-
34,Judie,Claywell,Female,France,35,16/08/2016,7569
|
| 36 |
-
35,Dewitt,Borger,Male,United States,36,21/05/2015,8514
|
| 37 |
-
36,Nena,Hacker,Female,United States,29,15/10/2017,8563
|
| 38 |
-
37,Kelsie,Wachtel,Female,France,27,16/08/2016,8642
|
| 39 |
-
38,Sau,Pfau,Female,United States,25,21/05/2015,9536
|
| 40 |
-
39,Shanice,Mccrystal,Female,United States,36,21/05/2015,2567
|
| 41 |
-
40,Chase,Karner,Male,United States,37,15/10/2017,2154
|
| 42 |
-
41,Tommie,Underdahl,Male,United States,26,16/08/2016,3265
|
| 43 |
-
42,Dorcas,Darity,Female,United States,37,21/05/2015,8765
|
| 44 |
-
43,Angel,Sanor,Male,France,24,15/10/2017,3259
|
| 45 |
-
44,Willodean,Harn,Female,United States,39,16/08/2016,3567
|
| 46 |
-
45,Weston,Martina,Male,United States,26,21/05/2015,6540
|
| 47 |
-
46,Roma,Lafollette,Female,United States,34,15/10/2017,2654
|
| 48 |
-
47,Felisa,Cail,Female,United States,28,16/08/2016,6525
|
| 49 |
-
48,Demetria,Abbey,Female,United States,32,21/05/2015,3265
|
| 50 |
-
49,Jeromy,Danz,Male,United States,39,15/10/2017,3265
|
| 51 |
-
50,Rasheeda,Alkire,Female,United States,29,16/08/2016,6125
|
| 52 |
-
51,Dulce,Abril,Female,United States,32,15/10/2017,1562
|
| 53 |
-
52,Mara,Hashimoto,Female,Great Britain,25,16/08/2016,1582
|
| 54 |
-
53,Philip,Gent,Male,France,36,21/05/2015,2587
|
| 55 |
-
54,Kathleen,Hanner,Female,United States,25,15/10/2017,3549
|
| 56 |
-
55,Nereida,Magwood,Female,United States,58,16/08/2016,2468
|
| 57 |
-
56,Gaston,Brumm,Male,United States,24,21/05/2015,2554
|
| 58 |
-
57,Etta,Hurn,Female,Great Britain,56,15/10/2017,3598
|
| 59 |
-
58,Earlean,Melgar,Female,United States,27,16/08/2016,2456
|
| 60 |
-
59,Vincenza,Weiland,Female,United States,40,21/05/2015,6548
|
| 61 |
-
60,Fallon,Winward,Female,Great Britain,28,16/08/2016,5486
|
| 62 |
-
61,Arcelia,Bouska,Female,Great Britain,39,21/05/2015,1258
|
| 63 |
-
62,Franklyn,Unknow,Male,France,38,15/10/2017,2579
|
| 64 |
-
63,Sherron,Ascencio,Female,Great Britain,32,16/08/2016,3256
|
| 65 |
-
64,Marcel,Zabriskie,Male,Great Britain,26,21/05/2015,2587
|
| 66 |
-
65,Kina,Hazelton,Female,Great Britain,31,16/08/2016,3259
|
| 67 |
-
66,Shavonne,Pia,Female,France,24,21/05/2015,1546
|
| 68 |
-
67,Shavon,Benito,Female,France,39,15/10/2017,3579
|
| 69 |
-
68,Lauralee,Perrine,Female,Great Britain,28,16/08/2016,6597
|
| 70 |
-
69,Loreta,Curren,Female,France,26,21/05/2015,9654
|
| 71 |
-
70,Teresa,Strawn,Female,France,46,21/05/2015,3569
|
| 72 |
-
71,Belinda,Partain,Female,United States,37,15/10/2017,2564
|
| 73 |
-
72,Holly,Eudy,Female,United States,52,16/08/2016,8561
|
| 74 |
-
73,Many,Cuccia,Female,Great Britain,46,21/05/2015,5489
|
| 75 |
-
74,Libbie,Dalby,Female,France,42,21/05/2015,5489
|
| 76 |
-
75,Lester,Prothro,Male,France,21,15/10/2017,6574
|
| 77 |
-
76,Marvel,Hail,Female,Great Britain,28,16/08/2016,5555
|
| 78 |
-
77,Angelyn,Vong,Female,United States,29,21/05/2015,6125
|
| 79 |
-
78,Francesca,Beaudreau,Female,France,23,15/10/2017,5412
|
| 80 |
-
79,Garth,Gangi,Male,United States,41,16/08/2016,3256
|
| 81 |
-
80,Carla,Trumbull,Female,Great Britain,28,21/05/2015,3264
|
| 82 |
-
81,Veta,Muntz,Female,Great Britain,37,15/10/2017,4569
|
| 83 |
-
82,Stasia,Becker,Female,Great Britain,34,16/08/2016,7521
|
| 84 |
-
83,Jona,Grindle,Female,Great Britain,26,21/05/2015,6458
|
| 85 |
-
84,Judie,Claywell,Female,France,35,16/08/2016,7569
|
| 86 |
-
85,Dewitt,Borger,Male,United States,36,21/05/2015,8514
|
| 87 |
-
86,Nena,Hacker,Female,United States,29,15/10/2017,8563
|
| 88 |
-
87,Kelsie,Wachtel,Female,France,27,16/08/2016,8642
|
| 89 |
-
88,Sau,Pfau,Female,United States,25,21/05/2015,9536
|
| 90 |
-
89,Shanice,Mccrystal,Female,United States,36,21/05/2015,2567
|
| 91 |
-
90,Chase,Karner,Male,United States,37,15/10/2017,2154
|
| 92 |
-
91,Tommie,Underdahl,Male,United States,26,16/08/2016,3265
|
| 93 |
-
92,Dorcas,Darity,Female,United States,37,21/05/2015,8765
|
| 94 |
-
93,Angel,Sanor,Male,France,24,15/10/2017,3259
|
| 95 |
-
94,Willodean,Harn,Female,United States,39,16/08/2016,3567
|
| 96 |
-
95,Weston,Martina,Male,United States,26,21/05/2015,6540
|
| 97 |
-
96,Roma,Lafollette,Female,United States,34,15/10/2017,2654
|
| 98 |
-
97,Felisa,Cail,Female,United States,28,16/08/2016,6525
|
| 99 |
-
98,Demetria,Abbey,Female,United States,32,21/05/2015,3265
|
| 100 |
-
99,Jeromy,Danz,Male,United States,39,15/10/2017,3265
|
| 101 |
-
100,Rasheeda,Alkire,Female,United States,29,16/08/2016,6125
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
pages/Help.py
ADDED
|
@@ -0,0 +1,68 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Import required libraries
|
| 2 |
+
import streamlit as st
|
| 3 |
+
|
| 4 |
+
# Set Streamlit page configuration
|
| 5 |
+
st.set_page_config(page_title='Help - XLS Office Documents Analysis with ChatGPT4 NLP Model',
|
| 6 |
+
page_icon=":memo:",
|
| 7 |
+
layout='wide',
|
| 8 |
+
initial_sidebar_state='collapsed')
|
| 9 |
+
|
| 10 |
+
# Set CSS properties for HTML components
|
| 11 |
+
st.markdown("""
|
| 12 |
+
<style>
|
| 13 |
+
body {
|
| 14 |
+
color: #fff;
|
| 15 |
+
background-color: #4f8bf9;
|
| 16 |
+
}
|
| 17 |
+
h1, h2 {
|
| 18 |
+
color: #ffdd00;
|
| 19 |
+
}
|
| 20 |
+
</style>
|
| 21 |
+
""", unsafe_allow_html=True)
|
| 22 |
+
|
| 23 |
+
# Use HTML in markdown to center align the title
|
| 24 |
+
st.markdown("""
|
| 25 |
+
<h1 style='text-align: center; color: #ffdd00;'>Help Document for XLS Office Documents Analysis with ChatGPT4 NLP Model</h1>
|
| 26 |
+
""", unsafe_allow_html=True)
|
| 27 |
+
|
| 28 |
+
# Display authorship details
|
| 29 |
+
st.markdown("""
|
| 30 |
+
## Developed by Falah.G.Salieh
|
| 31 |
+
* AI Developer
|
| 32 |
+
* Specialized in Natural Language Processing
|
| 33 |
+
""", unsafe_allow_html=True)
|
| 34 |
+
|
| 35 |
+
# Display help content
|
| 36 |
+
st.markdown("""
|
| 37 |
+
## Getting Started
|
| 38 |
+
|
| 39 |
+
This project aims to ...
|
| 40 |
+
|
| 41 |
+
Here's how to use this app:
|
| 42 |
+
|
| 43 |
+
1. Step 1: ...
|
| 44 |
+
2. Step 2: ...
|
| 45 |
+
3. Step 3: ...
|
| 46 |
+
|
| 47 |
+
Please note that ...
|
| 48 |
+
|
| 49 |
+
### Uploading Your XLS File
|
| 50 |
+
|
| 51 |
+
To upload your XLS file, ...
|
| 52 |
+
|
| 53 |
+
### Using the ChatGPT-4 NLP Model
|
| 54 |
+
|
| 55 |
+
To use the ChatGPT-4 NLP model, ...
|
| 56 |
+
|
| 57 |
+
### Understanding the Results
|
| 58 |
+
|
| 59 |
+
When you receive the results, ...
|
| 60 |
+
|
| 61 |
+
### Troubleshooting
|
| 62 |
+
|
| 63 |
+
If you encounter any problems, ...
|
| 64 |
+
|
| 65 |
+
## Contact
|
| 66 |
+
|
| 67 |
+
If you have any questions, feel free to ...
|
| 68 |
+
""", unsafe_allow_html=True)
|