Create Prompts.md
Browse files- Prompts.md +773 -0
Prompts.md
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| 1 |
+
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| 2 |
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```
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| 3 |
+
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| 4 |
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Write a three point outline in markdown on how to build an asynchronous real time live telemedicine system using AI pipelines to offer remote care for smart communities.
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| 5 |
+
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| 6 |
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Sure, here's a three-point outline in markdown on how to build an asynchronous real-time live telemedicine system using AI pipelines to offer remote care for smart communities:
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| 7 |
+
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| 8 |
+
Building an Asynchronous Real-Time Live Telemedicine System Using AI Pipelines for Smart Communities
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| 9 |
+
Designing the Telemedicine System
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| 10 |
+
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| 11 |
+
Identify the needs and challenges of smart communities and design a telemedicine system that addresses these challenges.
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| 12 |
+
Choose a platform that allows for asynchronous real-time communication, such as video conferencing or chat-based messaging, to facilitate remote consultations with healthcare providers.
|
| 13 |
+
Design the system to incorporate AI pipelines that can analyze patient data and provide decision support for healthcare providers.
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| 14 |
+
Implementing the AI Pipelines
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| 15 |
+
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| 16 |
+
Identify the relevant AI algorithms and techniques that can be used to analyze patient data, such as machine learning or natural language processing.
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| 17 |
+
Integrate these AI pipelines into the telemedicine system to provide decision support for healthcare providers during consultations.
|
| 18 |
+
Ensure that the AI algorithms are accurate and reliable by testing them on a large and diverse set of patient data.
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| 19 |
+
Deploying the Telemedicine System
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| 20 |
+
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| 21 |
+
Deploy the telemedicine system in smart communities, ensuring that it is easily accessible and user-friendly for patients and healthcare providers.
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| 22 |
+
Train healthcare providers on how to use the system effectively and provide ongoing support and feedback to optimize its use.
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| 23 |
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Continuously monitor and evaluate the system's performance, making improvements and updates as needed to ensure that it remains effective and efficient in meeting the needs of smart communities.
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| 24 |
+
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| 25 |
+
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| 26 |
+
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| 27 |
+
Aaron Wacker
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| 28 |
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great. Please generate the markdown code for the outline. use the delimiter character sequence ``` before and after the markdown code.
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| 29 |
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Sure, here's the markdown code for the outline enclosed in delimiter character sequence ```:
|
| 30 |
+
|
| 31 |
+
vbnet
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| 32 |
+
Copy code
|
| 33 |
+
## Building an Asynchronous Real-Time Live Telemedicine System Using AI Pipelines for Smart Communities
|
| 34 |
+
|
| 35 |
+
1. **Designing the Telemedicine System**
|
| 36 |
+
- Identify the needs and challenges of smart communities and design a telemedicine system that addresses these challenges.
|
| 37 |
+
- Choose a platform that allows for asynchronous real-time communication, such as video conferencing or chat-based messaging, to facilitate remote consultations with healthcare providers.
|
| 38 |
+
- Design the system to incorporate AI pipelines that can analyze patient data and provide decision support for healthcare providers.
|
| 39 |
+
|
| 40 |
+
2. **Implementing the AI Pipelines**
|
| 41 |
+
- Identify the relevant AI algorithms and techniques that can be used to analyze patient data, such as machine learning or natural language processing.
|
| 42 |
+
- Integrate these AI pipelines into the telemedicine system to provide decision support for healthcare providers during consultations.
|
| 43 |
+
- Ensure that the AI algorithms are accurate and reliable by testing them on a large and diverse set of patient data.
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| 44 |
+
|
| 45 |
+
3. **Deploying the Telemedicine System**
|
| 46 |
+
- Deploy the telemedicine system in smart communities, ensuring that it is easily accessible and user-friendly for patients and healthcare providers.
|
| 47 |
+
- Train healthcare providers on how to use the system effectively and provide ongoing support and feedback to optimize its use.
|
| 48 |
+
- Continuously monitor and evaluate the system's performance, making improvements and updates as needed to ensure that it remains effective and efficient in meeting the needs of smart communities.
|
| 49 |
+
|
| 50 |
+
|
| 51 |
+
|
| 52 |
+
Aaron Wacker
|
| 53 |
+
create a pydeck streamlit python program to create a GeoJsonLayer visualization using deckgl and pydeck and a map. for pdk.ViewState use the latitude and longitude of republic of Congo.
|
| 54 |
+
Sure! Here is an example PyDeck Streamlit program that creates a GeoJsonLayer visualization using DeckGL and PyDeck and displays it on a map with a pdk.ViewState set to the Republic of Congo's latitude and longitude:
|
| 55 |
+
|
| 56 |
+
python
|
| 57 |
+
Copy code
|
| 58 |
+
import streamlit as st
|
| 59 |
+
import pydeck as pdk
|
| 60 |
+
|
| 61 |
+
# Define a GeoJSON data source
|
| 62 |
+
geojson_data = {
|
| 63 |
+
"type": "FeatureCollection",
|
| 64 |
+
"features": [
|
| 65 |
+
{
|
| 66 |
+
"type": "Feature",
|
| 67 |
+
"geometry": {
|
| 68 |
+
"type": "Point",
|
| 69 |
+
"coordinates": [15.8277, -0.2280] # Republic of Congo latitude and longitude
|
| 70 |
+
},
|
| 71 |
+
"properties": {
|
| 72 |
+
"name": "Republic of Congo"
|
| 73 |
+
}
|
| 74 |
+
}
|
| 75 |
+
]
|
| 76 |
+
}
|
| 77 |
+
|
| 78 |
+
# Define the PyDeck layer
|
| 79 |
+
layer = pdk.Layer(
|
| 80 |
+
"GeoJsonLayer",
|
| 81 |
+
data=geojson_data,
|
| 82 |
+
get_position="geometry.coordinates",
|
| 83 |
+
get_radius=100000,
|
| 84 |
+
get_fill_color=[255, 0, 0],
|
| 85 |
+
pickable=True
|
| 86 |
+
)
|
| 87 |
+
|
| 88 |
+
# Define the PyDeck view state
|
| 89 |
+
view_state = pdk.ViewState(
|
| 90 |
+
latitude=geojson_data['features'][0]['geometry']['coordinates'][1],
|
| 91 |
+
longitude=geojson_data['features'][0]['geometry']['coordinates'][0],
|
| 92 |
+
zoom=6
|
| 93 |
+
)
|
| 94 |
+
|
| 95 |
+
# Define the PyDeck deck
|
| 96 |
+
deck = pdk.Deck(
|
| 97 |
+
layers=[layer],
|
| 98 |
+
initial_view_state=view_state,
|
| 99 |
+
map_style="mapbox://styles/mapbox/light-v9",
|
| 100 |
+
mapbox_key='YOUR_MAPBOX_API_KEY'
|
| 101 |
+
)
|
| 102 |
+
|
| 103 |
+
# Render the PyDeck deck using Streamlit
|
| 104 |
+
st.pydeck_chart(deck)
|
| 105 |
+
Note that you'll need to replace YOUR_MAPBOX_API_KEY with your own Mapbox API key. You can sign up for a free account at https://www.mapbox.com/.
|
| 106 |
+
|
| 107 |
+
|
| 108 |
+
|
| 109 |
+
|
| 110 |
+
Aaron Wacker
|
| 111 |
+
Fix this error: TypeError: __init__() got an unexpected keyword argument 'mapbox_key'
|
| 112 |
+
Traceback:
|
| 113 |
+
File "/home/user/.local/lib/python3.8/site-packages/streamlit/runtime/scriptrunner/script_runner.py", line 565, in _run_script
|
| 114 |
+
exec(code, module.__dict__)
|
| 115 |
+
File "/home/user/app/app.py", line 39, in <module>
|
| 116 |
+
deck = pdk.Deck(
|
| 117 |
+
It seems like the mapbox_key parameter is not a valid parameter for the Deck class in PyDeck. To fix this error, you can use the set_access_token method of pydeck to set your Mapbox API key instead of passing it as a parameter to Deck. Here's an updated version of the code that should work:
|
| 118 |
+
|
| 119 |
+
python
|
| 120 |
+
Copy code
|
| 121 |
+
import streamlit as st
|
| 122 |
+
import pydeck as pdk
|
| 123 |
+
|
| 124 |
+
# Define a GeoJSON data source
|
| 125 |
+
geojson_data = {
|
| 126 |
+
"type": "FeatureCollection",
|
| 127 |
+
"features": [
|
| 128 |
+
{
|
| 129 |
+
"type": "Feature",
|
| 130 |
+
"geometry": {
|
| 131 |
+
"type": "Point",
|
| 132 |
+
"coordinates": [15.8277, -0.2280] # Republic of Congo latitude and longitude
|
| 133 |
+
},
|
| 134 |
+
"properties": {
|
| 135 |
+
"name": "Republic of Congo"
|
| 136 |
+
}
|
| 137 |
+
}
|
| 138 |
+
]
|
| 139 |
+
}
|
| 140 |
+
|
| 141 |
+
# Define the PyDeck layer
|
| 142 |
+
layer = pdk.Layer(
|
| 143 |
+
"GeoJsonLayer",
|
| 144 |
+
data=geojson_data,
|
| 145 |
+
get_position="geometry.coordinates",
|
| 146 |
+
get_radius=100000,
|
| 147 |
+
get_fill_color=[255, 0, 0],
|
| 148 |
+
pickable=True
|
| 149 |
+
)
|
| 150 |
+
|
| 151 |
+
# Define the PyDeck view state
|
| 152 |
+
view_state = pdk.ViewState(
|
| 153 |
+
latitude=geojson_data['features'][0]['geometry']['coordinates'][1],
|
| 154 |
+
longitude=geojson_data['features'][0]['geometry']['coordinates'][0],
|
| 155 |
+
zoom=6
|
| 156 |
+
)
|
| 157 |
+
|
| 158 |
+
# Set the Mapbox API key
|
| 159 |
+
pdk.settings.api_key = "YOUR_MAPBOX_API_KEY"
|
| 160 |
+
|
| 161 |
+
# Define the PyDeck deck
|
| 162 |
+
deck = pdk.Deck(
|
| 163 |
+
layers=[layer],
|
| 164 |
+
initial_view_state=view_state,
|
| 165 |
+
map_style="mapbox://styles/mapbox/light-v9"
|
| 166 |
+
)
|
| 167 |
+
|
| 168 |
+
# Render the PyDeck deck using Streamlit
|
| 169 |
+
st.pydeck_chart(deck)
|
| 170 |
+
Remember to replace YOUR_MAPBOX_API_KEY with your actual Mapbox API key.
|
| 171 |
+
|
| 172 |
+
|
| 173 |
+
|
| 174 |
+
|
| 175 |
+
Aaron Wacker
|
| 176 |
+
modify the program above to add geometry drawing a line from the Port-Gentil to the republic of Congo. Add geometry as well representing a population of 200,000 shown as polygon layer with a label. set opacity to 0.8.
|
| 177 |
+
Sure! Here's an updated version of the PyDeck Streamlit program that includes a line from Port-Gentil to the Republic of Congo, and a polygon layer representing a population of 200,000 with a label:
|
| 178 |
+
|
| 179 |
+
python
|
| 180 |
+
Copy code
|
| 181 |
+
import streamlit as st
|
| 182 |
+
import pydeck as pdk
|
| 183 |
+
|
| 184 |
+
# Define a GeoJSON data source
|
| 185 |
+
geojson_data = {
|
| 186 |
+
"type": "FeatureCollection",
|
| 187 |
+
"features": [
|
| 188 |
+
{
|
| 189 |
+
"type": "Feature",
|
| 190 |
+
"geometry": {
|
| 191 |
+
"type": "Point",
|
| 192 |
+
"coordinates": [15.8277, -0.2280] # Republic of Congo latitude and longitude
|
| 193 |
+
},
|
| 194 |
+
"properties": {
|
| 195 |
+
"name": "Republic of Congo"
|
| 196 |
+
}
|
| 197 |
+
}
|
| 198 |
+
]
|
| 199 |
+
}
|
| 200 |
+
|
| 201 |
+
# Define the line geometry
|
| 202 |
+
line_geojson_data = {
|
| 203 |
+
"type": "FeatureCollection",
|
| 204 |
+
"features": [
|
| 205 |
+
{
|
| 206 |
+
"type": "Feature",
|
| 207 |
+
"geometry": {
|
| 208 |
+
"type": "LineString",
|
| 209 |
+
"coordinates": [
|
| 210 |
+
[8.7811, -0.7193], # Port-Gentil latitude and longitude
|
| 211 |
+
[15.8277, -0.2280] # Republic of Congo latitude and longitude
|
| 212 |
+
]
|
| 213 |
+
}
|
| 214 |
+
}
|
| 215 |
+
]
|
| 216 |
+
}
|
| 217 |
+
|
| 218 |
+
# Define the polygon geometry
|
| 219 |
+
polygon_geojson_data = {
|
| 220 |
+
"type": "FeatureCollection",
|
| 221 |
+
"features": [
|
| 222 |
+
{
|
| 223 |
+
"type": "Feature",
|
| 224 |
+
"geometry": {
|
| 225 |
+
"type": "Polygon",
|
| 226 |
+
"coordinates": [
|
| 227 |
+
[
|
| 228 |
+
[16.0315, -0.3797], # Polygon coordinates
|
| 229 |
+
[16.0315, -0.4515],
|
| 230 |
+
[15.9199, -0.4515],
|
| 231 |
+
[15.9199, -0.3797],
|
| 232 |
+
[16.0315, -0.3797]
|
| 233 |
+
]
|
| 234 |
+
]
|
| 235 |
+
},
|
| 236 |
+
"properties": {
|
| 237 |
+
"name": "Population: 200,000"
|
| 238 |
+
}
|
| 239 |
+
}
|
| 240 |
+
]
|
| 241 |
+
}
|
| 242 |
+
|
| 243 |
+
# Define the PyDeck layer for the GeoJSON data
|
| 244 |
+
geojson_layer = pdk.Layer(
|
| 245 |
+
"GeoJsonLayer",
|
| 246 |
+
data=geojson_data,
|
| 247 |
+
get_position="geometry.coordinates",
|
| 248 |
+
get_radius=100000,
|
| 249 |
+
get_fill_color=[255, 0, 0],
|
| 250 |
+
pickable=True
|
| 251 |
+
)
|
| 252 |
+
|
| 253 |
+
# Define the PyDeck layer for the line geometry
|
| 254 |
+
line_layer = pdk.Layer(
|
| 255 |
+
"GeoJsonLayer",
|
| 256 |
+
data=line_geojson_data,
|
| 257 |
+
get_source_position="geometry.coordinates",
|
| 258 |
+
get_target_position=lambda feature: feature["geometry"]["coordinates"][-1],
|
| 259 |
+
get_color=[255, 165, 0],
|
| 260 |
+
get_width=30000,
|
| 261 |
+
pickable=True
|
| 262 |
+
)
|
| 263 |
+
|
| 264 |
+
# Define the PyDeck layer for the polygon geometry
|
| 265 |
+
polygon_layer = pdk.Layer(
|
| 266 |
+
"GeoJsonLayer",
|
| 267 |
+
data=polygon_geojson_data,
|
| 268 |
+
get_fill_color=[0, 255, 255, 128],
|
| 269 |
+
get_line_color=[0, 0, 0],
|
| 270 |
+
get_line_width=3,
|
| 271 |
+
get_polygon="geometry.coordinates",
|
| 272 |
+
get_text="properties.name",
|
| 273 |
+
get_text_anchor="middle",
|
| 274 |
+
get_text_offset=[0, 20],
|
| 275 |
+
get_text_color=[255, 255, 255],
|
| 276 |
+
pickable=True
|
| 277 |
+
)
|
| 278 |
+
|
| 279 |
+
# Define the PyDeck view state
|
| 280 |
+
view_state = pdk.ViewState(
|
| 281 |
+
latitude=geojson_data['features'][0]['geometry']['coordinates'][1],
|
| 282 |
+
longitude=geojson_data['features'][0]['geometry']['coordinates'][0],
|
| 283 |
+
zoom=5
|
| 284 |
+
)
|
| 285 |
+
|
| 286 |
+
# Set the Mapbox API key
|
| 287 |
+
pdk.settings.api_key = "YOUR_MAPBOX_API_KEY"
|
| 288 |
+
|
| 289 |
+
# Define the PyDeck deck
|
| 290 |
+
deck = pdk
|
| 291 |
+
|
| 292 |
+
|
| 293 |
+
|
| 294 |
+
Aaron Wacker
|
| 295 |
+
add layers matching the map adding the Mbenga, Mbuti, and Twa congo pygmies and their languages
|
| 296 |
+
Sure! Here's an updated version of the PyDeck Streamlit program that includes layers for the Mbenga, Mbuti, and Twa Congo pygmies and their languages:
|
| 297 |
+
|
| 298 |
+
python
|
| 299 |
+
Copy code
|
| 300 |
+
import streamlit as st
|
| 301 |
+
import pydeck as pdk
|
| 302 |
+
|
| 303 |
+
# Define a GeoJSON data source for the Republic of Congo
|
| 304 |
+
geojson_data = {
|
| 305 |
+
"type": "FeatureCollection",
|
| 306 |
+
"features": [
|
| 307 |
+
{
|
| 308 |
+
"type": "Feature",
|
| 309 |
+
"geometry": {
|
| 310 |
+
"type": "Point",
|
| 311 |
+
"coordinates": [15.8277, -0.2280] # Republic of Congo latitude and longitude
|
| 312 |
+
},
|
| 313 |
+
"properties": {
|
| 314 |
+
"name": "Republic of Congo"
|
| 315 |
+
}
|
| 316 |
+
}
|
| 317 |
+
]
|
| 318 |
+
}
|
| 319 |
+
|
| 320 |
+
# Define a GeoJSON data source for the Mbenga Congo Pygmies
|
| 321 |
+
mbenga_geojson_data = {
|
| 322 |
+
"type": "FeatureCollection",
|
| 323 |
+
"features": [
|
| 324 |
+
{
|
| 325 |
+
"type": "Feature",
|
| 326 |
+
"geometry": {
|
| 327 |
+
"type": "Point",
|
| 328 |
+
"coordinates": [16.9265, -0.5575] # Mbenga Congo Pygmy latitude and longitude
|
| 329 |
+
},
|
| 330 |
+
"properties": {
|
| 331 |
+
"name": "Mbenga Congo Pygmies"
|
| 332 |
+
}
|
| 333 |
+
}
|
| 334 |
+
]
|
| 335 |
+
}
|
| 336 |
+
|
| 337 |
+
# Define a GeoJSON data source for the Mbuti Congo Pygmies
|
| 338 |
+
mbuti_geojson_data = {
|
| 339 |
+
"type": "FeatureCollection",
|
| 340 |
+
"features": [
|
| 341 |
+
{
|
| 342 |
+
"type": "Feature",
|
| 343 |
+
"geometry": {
|
| 344 |
+
"type": "Point",
|
| 345 |
+
"coordinates": [28.8333, 1.7833] # Mbuti Congo Pygmy latitude and longitude
|
| 346 |
+
},
|
| 347 |
+
"properties": {
|
| 348 |
+
"name": "Mbuti Congo Pygmies"
|
| 349 |
+
}
|
| 350 |
+
}
|
| 351 |
+
]
|
| 352 |
+
}
|
| 353 |
+
|
| 354 |
+
# Define a GeoJSON data source for the Twa Congo Pygmies
|
| 355 |
+
twa_geojson_data = {
|
| 356 |
+
"type": "FeatureCollection",
|
| 357 |
+
"features": [
|
| 358 |
+
{
|
| 359 |
+
"type": "Feature",
|
| 360 |
+
"geometry": {
|
| 361 |
+
"type": "Point",
|
| 362 |
+
"coordinates": [28.5784, -4.1814] # Twa Congo Pygmy latitude and longitude
|
| 363 |
+
},
|
| 364 |
+
"properties": {
|
| 365 |
+
"name": "Twa Congo Pygmies"
|
| 366 |
+
}
|
| 367 |
+
}
|
| 368 |
+
]
|
| 369 |
+
}
|
| 370 |
+
|
| 371 |
+
# Define a GeoJSON data source for the languages spoken by the Congo Pygmies
|
| 372 |
+
languages_geojson_data = {
|
| 373 |
+
"type": "FeatureCollection",
|
| 374 |
+
"features": [
|
| 375 |
+
{
|
| 376 |
+
"type": "Feature",
|
| 377 |
+
"geometry": {
|
| 378 |
+
"type": "Point",
|
| 379 |
+
"coordinates": [19.3023, -1.4721] # Mbenga Congo Pygmy language latitude and longitude
|
| 380 |
+
},
|
| 381 |
+
"properties": {
|
| 382 |
+
"name": "Mbenga Congo Pygmy language"
|
| 383 |
+
}
|
| 384 |
+
},
|
| 385 |
+
{
|
| 386 |
+
"type": "Feature",
|
| 387 |
+
"geometry": {
|
| 388 |
+
"type": "Point",
|
| 389 |
+
"coordinates": [28.9167, 0.3333] # Mbuti Congo Pygmy language latitude and longitude
|
| 390 |
+
},
|
| 391 |
+
"properties": {
|
| 392 |
+
"name": "Mbuti Congo Pygmy language"
|
| 393 |
+
}
|
| 394 |
+
},
|
| 395 |
+
{
|
| 396 |
+
"type": "Feature",
|
| 397 |
+
"geometry": {
|
| 398 |
+
"type": "Point",
|
| 399 |
+
"coordinates": [28.8333, -4.3333] # Twa Congo Pygmy language latitude and longitude
|
| 400 |
+
},
|
| 401 |
+
"properties": {
|
| 402 |
+
"name": "Twa Congo Pygmy language"
|
| 403 |
+
}
|
| 404 |
+
}
|
| 405 |
+
]
|
| 406 |
+
}
|
| 407 |
+
|
| 408 |
+
# Define the PyDeck layer for the GeoJSON data
|
| 409 |
+
geojson
|
| 410 |
+
|
| 411 |
+
|
| 412 |
+
|
| 413 |
+
Aaron Wacker
|
| 414 |
+
please continue
|
| 415 |
+
Oops, it looks like I forgot to include the rest of the code! Here's the full program with the layers for the Congo Pygmies and their languages:
|
| 416 |
+
|
| 417 |
+
python
|
| 418 |
+
Copy code
|
| 419 |
+
import streamlit as st
|
| 420 |
+
import pydeck as pdk
|
| 421 |
+
|
| 422 |
+
# Define a GeoJSON data source for the Republic of Congo
|
| 423 |
+
geojson_data = {
|
| 424 |
+
"type": "FeatureCollection",
|
| 425 |
+
"features": [
|
| 426 |
+
{
|
| 427 |
+
"type": "Feature",
|
| 428 |
+
"geometry": {
|
| 429 |
+
"type": "Point",
|
| 430 |
+
"coordinates": [15.8277, -0.2280] # Republic of Congo latitude and longitude
|
| 431 |
+
},
|
| 432 |
+
"properties": {
|
| 433 |
+
"name": "Republic of Congo"
|
| 434 |
+
}
|
| 435 |
+
}
|
| 436 |
+
]
|
| 437 |
+
}
|
| 438 |
+
|
| 439 |
+
# Define a GeoJSON data source for the Mbenga Congo Pygmies
|
| 440 |
+
mbenga_geojson_data = {
|
| 441 |
+
"type": "FeatureCollection",
|
| 442 |
+
"features": [
|
| 443 |
+
{
|
| 444 |
+
"type": "Feature",
|
| 445 |
+
"geometry": {
|
| 446 |
+
"type": "Point",
|
| 447 |
+
"coordinates": [16.9265, -0.5575] # Mbenga Congo Pygmy latitude and longitude
|
| 448 |
+
},
|
| 449 |
+
"properties": {
|
| 450 |
+
"name": "Mbenga Congo Pygmies"
|
| 451 |
+
}
|
| 452 |
+
}
|
| 453 |
+
]
|
| 454 |
+
}
|
| 455 |
+
|
| 456 |
+
# Define a GeoJSON data source for the Mbuti Congo Pygmies
|
| 457 |
+
mbuti_geojson_data = {
|
| 458 |
+
"type": "FeatureCollection",
|
| 459 |
+
"features": [
|
| 460 |
+
{
|
| 461 |
+
"type": "Feature",
|
| 462 |
+
"geometry": {
|
| 463 |
+
"type": "Point",
|
| 464 |
+
"coordinates": [28.8333, 1.7833] # Mbuti Congo Pygmy latitude and longitude
|
| 465 |
+
},
|
| 466 |
+
"properties": {
|
| 467 |
+
"name": "Mbuti Congo Pygmies"
|
| 468 |
+
}
|
| 469 |
+
}
|
| 470 |
+
]
|
| 471 |
+
}
|
| 472 |
+
|
| 473 |
+
# Define a GeoJSON data source for the Twa Congo Pygmies
|
| 474 |
+
twa_geojson_data = {
|
| 475 |
+
"type": "FeatureCollection",
|
| 476 |
+
"features": [
|
| 477 |
+
{
|
| 478 |
+
"type": "Feature",
|
| 479 |
+
"geometry": {
|
| 480 |
+
"type": "Point",
|
| 481 |
+
"coordinates": [28.5784, -4.1814] # Twa Congo Pygmy latitude and longitude
|
| 482 |
+
},
|
| 483 |
+
"properties": {
|
| 484 |
+
"name": "Twa Congo Pygmies"
|
| 485 |
+
}
|
| 486 |
+
}
|
| 487 |
+
]
|
| 488 |
+
}
|
| 489 |
+
|
| 490 |
+
# Define a GeoJSON data source for the languages spoken by the Congo Pygmies
|
| 491 |
+
languages_geojson_data = {
|
| 492 |
+
"type": "FeatureCollection",
|
| 493 |
+
"features": [
|
| 494 |
+
{
|
| 495 |
+
"type": "Feature",
|
| 496 |
+
"geometry": {
|
| 497 |
+
"type": "Point",
|
| 498 |
+
"coordinates": [19.3023, -1.4721] # Mbenga Congo Pygmy language latitude and longitude
|
| 499 |
+
},
|
| 500 |
+
"properties": {
|
| 501 |
+
"name": "Mbenga Congo Pygmy language"
|
| 502 |
+
}
|
| 503 |
+
},
|
| 504 |
+
{
|
| 505 |
+
"type": "Feature",
|
| 506 |
+
"geometry": {
|
| 507 |
+
"type": "Point",
|
| 508 |
+
"coordinates": [28.9167, 0.3333] # Mbuti Congo Pygmy language latitude and longitude
|
| 509 |
+
},
|
| 510 |
+
"properties": {
|
| 511 |
+
"name": "Mbuti Congo Pygmy language"
|
| 512 |
+
}
|
| 513 |
+
},
|
| 514 |
+
{
|
| 515 |
+
"type": "Feature",
|
| 516 |
+
"geometry": {
|
| 517 |
+
"type": "Point",
|
| 518 |
+
"coordinates": [28.8333, -4.3333] # Twa Congo Pygmy language latitude and longitude
|
| 519 |
+
},
|
| 520 |
+
"properties": {
|
| 521 |
+
"name": "Twa Congo Pygmy language"
|
| 522 |
+
}
|
| 523 |
+
}
|
| 524 |
+
]
|
| 525 |
+
}
|
| 526 |
+
|
| 527 |
+
# Define the PyDeck layer for the GeoJSON data
|
| 528 |
+
geojson_layer = pdk
|
| 529 |
+
|
| 530 |
+
|
| 531 |
+
|
| 532 |
+
Aaron Wacker
|
| 533 |
+
continue
|
| 534 |
+
Oops, I did it again! Here's the full program:
|
| 535 |
+
|
| 536 |
+
python
|
| 537 |
+
Copy code
|
| 538 |
+
import streamlit as st
|
| 539 |
+
import pydeck as pdk
|
| 540 |
+
|
| 541 |
+
# Define a GeoJSON data source for the Republic of Congo
|
| 542 |
+
geojson_data = {
|
| 543 |
+
"type": "FeatureCollection",
|
| 544 |
+
"features": [
|
| 545 |
+
{
|
| 546 |
+
"type": "Feature",
|
| 547 |
+
"geometry": {
|
| 548 |
+
"type": "Point",
|
| 549 |
+
"coordinates": [15.8277, -0.2280] # Republic of Congo latitude and longitude
|
| 550 |
+
},
|
| 551 |
+
"properties": {
|
| 552 |
+
"name": "Republic of Congo"
|
| 553 |
+
}
|
| 554 |
+
}
|
| 555 |
+
]
|
| 556 |
+
}
|
| 557 |
+
|
| 558 |
+
# Define a GeoJSON data source for the Mbenga Congo Pygmies
|
| 559 |
+
mbenga_geojson_data = {
|
| 560 |
+
"type": "FeatureCollection",
|
| 561 |
+
"features": [
|
| 562 |
+
{
|
| 563 |
+
"type": "Feature",
|
| 564 |
+
"geometry": {
|
| 565 |
+
"type": "Point",
|
| 566 |
+
"coordinates": [16.9265, -0.5575] # Mbenga Congo Pygmy latitude and longitude
|
| 567 |
+
},
|
| 568 |
+
"properties": {
|
| 569 |
+
"name": "Mbenga Congo Pygmies"
|
| 570 |
+
}
|
| 571 |
+
}
|
| 572 |
+
]
|
| 573 |
+
}
|
| 574 |
+
|
| 575 |
+
# Define a GeoJSON data source for the Mbuti Congo Pygmies
|
| 576 |
+
mbuti_geojson_data = {
|
| 577 |
+
"type": "FeatureCollection",
|
| 578 |
+
"features": [
|
| 579 |
+
{
|
| 580 |
+
"type": "Feature",
|
| 581 |
+
"geometry": {
|
| 582 |
+
"type": "Point",
|
| 583 |
+
"coordinates": [28.8333, 1.7833] # Mbuti Congo Pygmy latitude and longitude
|
| 584 |
+
},
|
| 585 |
+
"properties": {
|
| 586 |
+
"name": "Mbuti Congo Pygmies"
|
| 587 |
+
}
|
| 588 |
+
}
|
| 589 |
+
]
|
| 590 |
+
}
|
| 591 |
+
|
| 592 |
+
# Define a GeoJSON data source for the Twa Congo Pygmies
|
| 593 |
+
twa_geojson_data = {
|
| 594 |
+
"type": "FeatureCollection",
|
| 595 |
+
"features": [
|
| 596 |
+
{
|
| 597 |
+
"type": "Feature",
|
| 598 |
+
"geometry": {
|
| 599 |
+
"type": "Point",
|
| 600 |
+
"coordinates": [28.5784, -4.1814] # Twa Congo Pygmy latitude and longitude
|
| 601 |
+
},
|
| 602 |
+
"properties": {
|
| 603 |
+
"name": "Twa Congo Pygmies"
|
| 604 |
+
}
|
| 605 |
+
}
|
| 606 |
+
]
|
| 607 |
+
}
|
| 608 |
+
|
| 609 |
+
# Define a GeoJSON data source for the languages spoken by the Congo Pygmies
|
| 610 |
+
languages_geojson_data = {
|
| 611 |
+
"type": "FeatureCollection",
|
| 612 |
+
"features": [
|
| 613 |
+
{
|
| 614 |
+
"type": "Feature",
|
| 615 |
+
"geometry": {
|
| 616 |
+
"type": "Point",
|
| 617 |
+
"coordinates": [19.3023, -1.4721] # Mbenga Congo Pygmy language latitude and longitude
|
| 618 |
+
},
|
| 619 |
+
"properties": {
|
| 620 |
+
"name": "Mbenga Congo Pygmy language"
|
| 621 |
+
}
|
| 622 |
+
},
|
| 623 |
+
{
|
| 624 |
+
"type": "Feature",
|
| 625 |
+
"geometry": {
|
| 626 |
+
"type": "Point",
|
| 627 |
+
"coordinates": [28.9167, 0.3333] # Mbuti Congo Pygmy language latitude and longitude
|
| 628 |
+
},
|
| 629 |
+
"properties": {
|
| 630 |
+
"name": "Mbuti Congo Pygmy language"
|
| 631 |
+
}
|
| 632 |
+
},
|
| 633 |
+
{
|
| 634 |
+
"type": "Feature",
|
| 635 |
+
"geometry": {
|
| 636 |
+
"type": "Point",
|
| 637 |
+
"coordinates": [28.8333, -4.3333] # Twa Congo Pygmy language latitude and longitude
|
| 638 |
+
},
|
| 639 |
+
"properties": {
|
| 640 |
+
"name": "Twa Congo Pygmy language"
|
| 641 |
+
}
|
| 642 |
+
}
|
| 643 |
+
]
|
| 644 |
+
}
|
| 645 |
+
|
| 646 |
+
# Define the PyDeck layer for the GeoJSON data
|
| 647 |
+
geojson_layer = pdk.Layer(
|
| 648 |
+
"GeoJsonLayer",
|
| 649 |
+
data=geojson_data,
|
| 650 |
+
get_position="geometry
|
| 651 |
+
|
| 652 |
+
|
| 653 |
+
|
| 654 |
+
Aaron Wacker
|
| 655 |
+
continue
|
| 656 |
+
Again, apologies for the mistake! Here's the complete code:
|
| 657 |
+
|
| 658 |
+
python
|
| 659 |
+
Copy code
|
| 660 |
+
import streamlit as st
|
| 661 |
+
import pydeck as pdk
|
| 662 |
+
|
| 663 |
+
# Define a GeoJSON data source for the Republic of Congo
|
| 664 |
+
geojson_data = {
|
| 665 |
+
"type": "FeatureCollection",
|
| 666 |
+
"features": [
|
| 667 |
+
{
|
| 668 |
+
"type": "Feature",
|
| 669 |
+
"geometry": {
|
| 670 |
+
"type": "Point",
|
| 671 |
+
"coordinates": [15.8277, -0.2280] # Republic of Congo latitude and longitude
|
| 672 |
+
},
|
| 673 |
+
"properties": {
|
| 674 |
+
"name": "Republic of Congo"
|
| 675 |
+
}
|
| 676 |
+
}
|
| 677 |
+
]
|
| 678 |
+
}
|
| 679 |
+
|
| 680 |
+
# Define a GeoJSON data source for the Mbenga Congo Pygmies
|
| 681 |
+
mbenga_geojson_data = {
|
| 682 |
+
"type": "FeatureCollection",
|
| 683 |
+
"features": [
|
| 684 |
+
{
|
| 685 |
+
"type": "Feature",
|
| 686 |
+
"geometry": {
|
| 687 |
+
"type": "Point",
|
| 688 |
+
"coordinates": [16.9265, -0.5575] # Mbenga Congo Pygmy latitude and longitude
|
| 689 |
+
},
|
| 690 |
+
"properties": {
|
| 691 |
+
"name": "Mbenga Congo Pygmies"
|
| 692 |
+
}
|
| 693 |
+
}
|
| 694 |
+
]
|
| 695 |
+
}
|
| 696 |
+
|
| 697 |
+
# Define a GeoJSON data source for the Mbuti Congo Pygmies
|
| 698 |
+
mbuti_geojson_data = {
|
| 699 |
+
"type": "FeatureCollection",
|
| 700 |
+
"features": [
|
| 701 |
+
{
|
| 702 |
+
"type": "Feature",
|
| 703 |
+
"geometry": {
|
| 704 |
+
"type": "Point",
|
| 705 |
+
"coordinates": [28.8333, 1.7833] # Mbuti Congo Pygmy latitude and longitude
|
| 706 |
+
},
|
| 707 |
+
"properties": {
|
| 708 |
+
"name": "Mbuti Congo Pygmies"
|
| 709 |
+
}
|
| 710 |
+
}
|
| 711 |
+
]
|
| 712 |
+
}
|
| 713 |
+
|
| 714 |
+
# Define a GeoJSON data source for the Twa Congo Pygmies
|
| 715 |
+
twa_geojson_data = {
|
| 716 |
+
"type": "FeatureCollection",
|
| 717 |
+
"features": [
|
| 718 |
+
{
|
| 719 |
+
"type": "Feature",
|
| 720 |
+
"geometry": {
|
| 721 |
+
"type": "Point",
|
| 722 |
+
"coordinates": [28.5784, -4.1814] # Twa Congo Pygmy latitude and longitude
|
| 723 |
+
},
|
| 724 |
+
"properties": {
|
| 725 |
+
"name": "Twa Congo Pygmies"
|
| 726 |
+
}
|
| 727 |
+
}
|
| 728 |
+
]
|
| 729 |
+
}
|
| 730 |
+
|
| 731 |
+
# Define a GeoJSON data source for the languages spoken by the Congo Pygmies
|
| 732 |
+
languages_geojson_data = {
|
| 733 |
+
"type": "FeatureCollection",
|
| 734 |
+
"features": [
|
| 735 |
+
{
|
| 736 |
+
"type": "Feature",
|
| 737 |
+
"geometry": {
|
| 738 |
+
"type": "Point",
|
| 739 |
+
"coordinates": [19.3023, -1.4721] # Mbenga Congo Pygmy language latitude and longitude
|
| 740 |
+
},
|
| 741 |
+
"properties": {
|
| 742 |
+
"name": "Mbenga Congo Pygmy language"
|
| 743 |
+
}
|
| 744 |
+
},
|
| 745 |
+
{
|
| 746 |
+
"type": "Feature",
|
| 747 |
+
"geometry": {
|
| 748 |
+
"type": "Point",
|
| 749 |
+
"coordinates": [28.9167, 0.3333] # Mbuti Congo Pygmy language latitude and longitude
|
| 750 |
+
},
|
| 751 |
+
"properties": {
|
| 752 |
+
"name": "Mbuti Congo Pygmy language"
|
| 753 |
+
}
|
| 754 |
+
},
|
| 755 |
+
{
|
| 756 |
+
"type": "Feature",
|
| 757 |
+
"geometry": {
|
| 758 |
+
"type": "Point",
|
| 759 |
+
"coordinates": [28.8333, -4.3333] # Twa Congo Pygmy language latitude and longitude
|
| 760 |
+
},
|
| 761 |
+
"properties": {
|
| 762 |
+
"name": "Twa Congo Pygmy language"
|
| 763 |
+
}
|
| 764 |
+
}
|
| 765 |
+
]
|
| 766 |
+
}
|
| 767 |
+
|
| 768 |
+
# Define the PyDeck layer for the GeoJSON data
|
| 769 |
+
geojson_layer = pdk.Layer(
|
| 770 |
+
"GeoJsonLayer",
|
| 771 |
+
data=geojson_data,
|
| 772 |
+
|
| 773 |
+
```
|