hume.ai is a AI service that can be used for classifying a user's emotional state. It would be great if there was some way to integrate their Expression Measurement API into CasualOS. Some techproofing has demonstrated that we can use OAuth access tokens for expression measurement sessions.
For now, the only needed function is ai.hume.requestAccessToken(). This should make a request to the server which will generate an access token that can be used by the client to access the Hume API. These tokens should ideally be somewhat short lived and not able to be refreshed.
The basic pattern looks like this:
// Request an access token using the OAuth Client Credentials flow
const res = await self.fetch(`https://${host}/oauth2-cc/token`, {
method: 'POST',
headers: {
'Content-Type': 'application/x-www-form-urlencoded',
'Authorization': `Basic ${API_KEY}`,
},
body: new URLSearchParams({
grant_type: 'client_credentials',
}).toString(),
cache: 'no-cache',
});
The server should also have another subscription feature: ai.hume so that this feature can be limited based on a user's subscription tier.
hume.ai is a AI service that can be used for classifying a user's emotional state. It would be great if there was some way to integrate their Expression Measurement API into CasualOS. Some techproofing has demonstrated that we can use OAuth access tokens for expression measurement sessions.
For now, the only needed function is
ai.hume.requestAccessToken(). This should make a request to the server which will generate an access token that can be used by the client to access the Hume API. These tokens should ideally be somewhat short lived and not able to be refreshed.The basic pattern looks like this:
The server should also have another subscription feature:
ai.humeso that this feature can be limited based on a user's subscription tier.Hume Docs