public async Task <IActionResult> OnPost()
{
// recover sessionID
var sessionID = HttpContext.Session.GetString("SessionID");
if (string.IsNullOrEmpty(sessionID))
{
HttpContext.Session.Clear();
return(RedirectToPage("Index"));
}
// User posted some content
if (String.IsNullOrEmpty(UserInput))
{
// User didn't provide any input, so nothing to do
return(Page());
}
else
{
// Check with API if content is valid
// and Use API call to send this content to GPT model
var context = await _storytllerAPI.AddUserContext(UserInput, sessionID);
// Update input field with corrected text
ScreenedContext userContext = (ScreenedContext)context["ScreenedContext"];
UserInput = userContext.CorrectedText;
if (!userContext.IsBounced)
{
Context apiContext = (Context)context["APIContext"];
// Add new text recieved from API to text and session
string newContent = HttpContext.Session.GetString("SessionText") + "\n\n" + UserInput + "\n\n" + apiContext.SessionText;
// Update session variable with user input and content from API
HttpContext.Session.SetString("SessionText", newContent);
// Apply new content to page model
StoryText = newContent;
// remove user input and any errors as successfull
UserInput = null;
ErrorText = null;
}
else
{
// set list of terms which are considered to be offensive
OffensiveTerms = userContext.OffensiveTerms.ToHashSet();
// Return back stored in session text
StoryText = HttpContext.Session.GetString("SessionText");
// Add error message
ErrorText = "Please enter correct text!";
}
}
return(Page());
}
public async Task <ScreenedContext> ModerateText(string text)
{
// create in-memory stream, as ContentModerator SDK accepts text only as a stream
var stream = new MemoryStream(Encoding.UTF8.GetBytes(text));
// use ContentModeratorClient.TextModeration to check provided text
var answer = await _client.TextModeration.ScreenTextAsync("text/plain", stream, "eng", true, false, null, false);
// Content-Type: text/plain
// Text: (variable)
// Language: eng
// Autocorrect: true
// Check for PII (US only): false
// ListID (custom list of words): null
// Classify as adult (class1), racist (class2) or offensive (class3): false
//
// Up to 1024 characters long stream can be used per one request.
// Free version of Azure ContentModerator allows only 1 request per second, and up to 5000 requests per month
// Details: https://docs.microsoft.com/en-us/rest/api/cognitiveservices/contentmoderator/textmoderation/screentext
// and https://docs.microsoft.com/en-us/azure/cognitive-services/content-moderator/client-libraries?pivots=programming-language-csharp&tabs=cli
// create a new screened text object and add some values. Can be done through model itself
var screen = new ScreenedContext()
{
OriginalText = answer.OriginalText,
CorrectedText = answer.AutoCorrectedText,
OffensiveTerms = new HashSet <string>(),
IsBounced = false
};
// Check if ContentModerator found any offensive terms
if (null != answer.Terms)
{
// Add all of them to the HashSet (so it keeps unique terms only)
foreach (var term in answer.Terms)
{
screen.OffensiveTerms.Add(term.Term);
}
screen.IsBounced = true;
}
return(screen);
}
