Text Generation ​
The following API endpoints generate text based on input.
Natural Language Chat ​
Send natural language text to this endpoint for a text response back based on general intelligence.
Parameters
endpoint : https://api.weburban.com/generate/text-from-textprompt : (text) The text prompt you want to send
Example of how this would be implemented in shown below.
curl --location 'https://api.weburban.com/generate/text-from-text' \
--header 'Accept: application/json' \
--header 'x-api-key: <API Key>' \
--header 'Content-Type: application/json' \
--data '{
"prompt" : "How do I cook an egg?"
}'curl --location 'https://api.weburban.com/generate/text-from-text' \
--header 'Accept: application/json' \
--header 'x-api-key: <API Key>' \
--header 'Content-Type: application/json' \
--data '{
"prompt" : "How do I cook an egg?"
}'var myHeaders = new Headers();
myHeaders.append("Accept", "application/json");
myHeaders.append("x-api-key", "<API Key>");
myHeaders.append("Content-Type", "application/json");
var raw = JSON.stringify({
"prompt" : "How do I cook an egg?"
});
var requestOptions = {
method: 'POST',
headers: myHeaders,
body: raw,
redirect: 'follow'
};
fetch("https://api.weburban.com/generate/text-from-text", requestOptions)
.then(response => response.text())
.then(result => console.log(result))
.catch(error => console.log('error', error));var myHeaders = new Headers();
myHeaders.append("Accept", "application/json");
myHeaders.append("x-api-key", "<API Key>");
myHeaders.append("Content-Type", "application/json");
var raw = JSON.stringify({
"prompt" : "How do I cook an egg?"
});
var requestOptions = {
method: 'POST',
headers: myHeaders,
body: raw,
redirect: 'follow'
};
fetch("https://api.weburban.com/generate/text-from-text", requestOptions)
.then(response => response.text())
.then(result => console.log(result))
.catch(error => console.log('error', error));Generate new text from document ​
Create a new text arrangement from ngrams of an existing text document. The new generated text draws from logical arrangements in the provided text document.
Parameters
endpoint : https://api.weburban.com/generate/text-from-ngramurl : (url) Text file at url for ngram creationlength : (int) number of words the new text should contain`
Example of how this would be implemented in shown below.
curl --location 'https://api.weburban.com/generate/text-from-ngram' \
--header 'Accept: application/json' \
--header 'x-api-key: <API Key>' \
--header 'Content-Type: application/json' \
--data '{
"url" : "https://www.gutenberg.org/cache/epub/1342/pg1342.txt",
"length" : 100
}'curl --location 'https://api.weburban.com/generate/text-from-ngram' \
--header 'Accept: application/json' \
--header 'x-api-key: <API Key>' \
--header 'Content-Type: application/json' \
--data '{
"url" : "https://www.gutenberg.org/cache/epub/1342/pg1342.txt",
"length" : 100
}'var myHeaders = new Headers();
myHeaders.append("Accept", "application/json");
myHeaders.append("x-api-key", "<API Key>");
myHeaders.append("Content-Type", "application/json");
var raw = JSON.stringify({
"url" : "https://www.gutenberg.org/cache/epub/1342/pg1342.txt",
"length" : 100
});
var requestOptions = {
method: 'POST',
headers: myHeaders,
body: raw,
redirect: 'follow'
};
fetch("https://api.weburban.com/generate/text-from-ngram", requestOptions)
.then(response => response.text())
.then(result => console.log(result))
.catch(error => console.log('error', error));var myHeaders = new Headers();
myHeaders.append("Accept", "application/json");
myHeaders.append("x-api-key", "<API Key>");
myHeaders.append("Content-Type", "application/json");
var raw = JSON.stringify({
"url" : "https://www.gutenberg.org/cache/epub/1342/pg1342.txt",
"length" : 100
});
var requestOptions = {
method: 'POST',
headers: myHeaders,
body: raw,
redirect: 'follow'
};
fetch("https://api.weburban.com/generate/text-from-ngram", requestOptions)
.then(response => response.text())
.then(result => console.log(result))
.catch(error => console.log('error', error));The output of the request above will produce the following response.
Please note!
Your text response will be different to the one shown below because the concatenated ngrams in this endpoint are random and your text url may contain different phrases and words.
{
"Version": "1.0",
"Output": {
"text": "Elizabeth was forced to put it out of marital authority, and so small a family of five daughters, in favour of matrimony; it remains to be alone, and fearful of its proprietor, and, with no very striking resemblance"
}
}{
"Version": "1.0",
"Output": {
"text": "Elizabeth was forced to put it out of marital authority, and so small a family of five daughters, in favour of matrimony; it remains to be alone, and fearful of its proprietor, and, with no very striking resemblance"
}
}