https://github.com/chigwell/text-geo-map
text-geo-map turns plain text location descriptions into standardized geospatial data for interactive maps.
https://github.com/chigwell/text-geo-map
addressvalidation coordinatesextraction geocoding geospatialanalysis geospatialdata geospatialvisualization interactivemaps landmarkidentification llmatch-messages locationbasedservices locationextraction naturallanguageprocessing structureddata texttogeospatial texttomap
Last synced: 13 days ago
JSON representation
text-geo-map turns plain text location descriptions into standardized geospatial data for interactive maps.
- Host: GitHub
- URL: https://github.com/chigwell/text-geo-map
- Owner: chigwell
- Created: 2025-12-21T22:54:40.000Z (about 1 month ago)
- Default Branch: main
- Last Pushed: 2025-12-21T22:54:57.000Z (about 1 month ago)
- Last Synced: 2025-12-23T10:04:12.092Z (about 1 month ago)
- Topics: addressvalidation, coordinatesextraction, geocoding, geospatialanalysis, geospatialdata, geospatialvisualization, interactivemaps, landmarkidentification, llmatch-messages, locationbasedservices, locationextraction, naturallanguageprocessing, structureddata, texttogeospatial, texttomap
- Language: Python
- Homepage: https://pypi.org/project/text-geo-map/
- Size: 2.93 KB
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
## Package Title
[](https://badge.fury.io/py/text-geo-map)
[](https://opensource.org/licenses/MIT)
[](https://pepy.tech/project/text-geo-map)
[](https://www.linkedin.com/in/eugene-evstafev-716669181/)
Transforming Text Descriptions to Structured Geospatial Data
================
#### About the Package
A new Python package that converts plain text descriptions of locations into structured geospatial data. The package extracts and validates key details such as coordinates, addresses, or landmarks from the text and outputs the information in a standardized format.
#### Installing
----------------
Install the package via pip:
```bash
pip install text_geo_map
```
#### Using the Package
--------------------
```python
from text_geo_map import text_geo_map
user_input = "The Eiffel Tower in Paris, France"
response = text_geo_map(user_input)
print(response)
```
#### Parameters
------------
The `text_geo_map` function accepts the following parameters:
- `user_input`: The text description of a location.
- `llm`: An instance of the LangChain `BaseChatModel` to use for LL7 queries (default is `ChatLLM7` from `langchain_llm7`).
- `api_key`: The API key for LLM7 (default is `None`, which will use the `LLM7_API_KEY` environment variable).
You can also pass your own instance of a LangChain chat model by using the `llm` parameter. For example:
```python
import os
from langchain OpenAI import ChatOpenAI
from text_geo_map import text_geo_map
llm = ChatOpenAI()
response = text_geo_map(user_input, llm=llm)
```
Example to use the Anthropics:
```python
import os
from langchain_anthropic import ChatAnthropic
from text_geo_map import text_geo_map
llm = ChatAnthropic()
response = text_geo_map(user_input, llm=llm)
```
Example to use the Google generative ai:
```python
import os
from langchain_google_genai import ChatGoogleGenerativeAI
from text_geo_map import text_geo_map
llm = ChatGoogleGenerativeAI()
response = text_geo_map(user_input, llm=llm)
```
Note: The default rate limits for LLM7 free tier should be sufficient for most use cases of this package. If you need higher rate limits, you can pass your own API key via the environment variable `LLM7_API_KEY` or directly as the `api_key` parameter.
You can obtain a free API key by registering on https://token.llm7.io/.
#### Documentation
-----------------
More information can be found on the GitHub repository at: https://github.com/chigwell/
#### Author
----------------
This package was created by Eugene Evstafev and can be reached at hi@euegne.plus.