Have you set your users collection as the "Users collection" in the firestore settings?

To achieve this you can add an int field in each event that is called "numSpots" or something, and then when a user creates and event they can set this field with a number text field. And whenever someone tries to join an event you can check if the number of joined users in the event matches the numSpots field, and in that case show some text like: "This event is full". You can create whatever UI you want for this, but hope you get the concept.

@@leomcmillion ok thanks for the reply i understand that part my issue is inserting the slots so after the event is create im wanting the user to click attend then their ref to fill that slot my problem is creating the slots when the creator sets up the event im i inserting a number of rows using a loop and the value of textfield int and each person owing the row or is the another way ?

Absolutely! Had actually planned on recording an video about that in the autumn when I get back to recording videos again. Thanks for the suggestion!

You can check that out here: platform.openai.com/docs/guides/text-to-speech/supported-languages There you can see what languages they support. You can also see there that you get audio for the same language as the text you give to the API.

Thanks! I have never used M4a so don't know. What documentation are you referring to? Flutterflow's? Or OpenAI's? And to where in your app are you having troubles uploading the M4a files? to Flutterflow or to OpenAI? I can help you better with the above information. This problem should no be super hard to figure though so am sure you can come up with a solution yourself.

To make incoming strings to flutterflow look as normal text instead of having those weird symbols you can create a custom function in flutterflow that decodes a string to be UTF8. This should work since I think they are using UTF8 encoding. Here is the code you can try: String decodeUtf8String(String encodedString) { List<int> bytes = encodedString.codeUnits; return utf8.decode(bytes); } Hope this is what you were asking for, if I misunderstood your question please let me know.

@@leomcmillion hei Leo. Sadly it did not work :(. I sent you an email with some screenshots just to make myself clearer. Whenever you have the time to check it out! Thank you so much for your help!

@@ghitaneugeneduard4318 I did not get any screenshots via email. Please try to send again.

Sorry, I don't use xano for authentication. But here is a thread where this problem have been discussed: community.xano.com/ask-the-community/post/firebase-jwt-authentication-with-xano-O1Mn1CdKS4NUYgc

At minute 19:30, Action 2, we can see “Action Output Variable Name” apiResult. After fill here, “action output” appears.

Great question! I answered you via email on how to do this without exposing the API key in the url. You can do it by routing the apj call via a custom cloud function and then get your google api key from your secret manager in google cloud (you need to store the api key as a secret key in the google cloud secret manager). Takes a little more work but is worth it for security.

@@leomcmillion Hello! Have you tried doing that? I am using Firebase to send password reset emails, but I've noticed that, although I customize the redirection link in Firebase Console to avoid including the API Key, the link that reaches the end user still includes the API Key, so it does not matter if I use a link to a cloud function, they always include it by default. Did I understand something wrong?

@@orianatoubia681 ​ I think you are mixing up the API key and the oobCode. The oobCode is the key that you are seing in the url that the user gets, which is standard. The oobCode and mode parameters are added to the link you set in the template, since the oobCode is needed to reset password. Not a problem that the user have access to that. But in the video I do show the API for the user which is not ideal, but that is not needed if you route the "Reset password" API call made in the Reset password page via a cloud function that reads the api key from your secret manager. Am unsure how you have set it up but sounds like you have just routed the reset password page via a cloud function which is not needed, but the API call made on that page that requires the API key should be routed via a cloud function (API should not be hard coded in the function). Hope this answers your question. If I missunderstod anything just let me know.

Have you checked so the value in your "message" datatype is a string? Also check so the input field is set to "text "and not to "number". It could also be that you renamed the text field to something else. It should pop up as a option, so it's probably something smal like this. Hope this helped somewhat at least.

You can in the icon click logic check if the current item is already in your fav list, and based on that either remove it or add it.

You can do that by just following the API documentation here: platform.openai.com/docs/api-reference/chat/create And making this API call in a cloud function using the trigger "onCall" and the library axios. You can ask chatGPT for assistance on how to implement this. Try this first and let me know if you encounter any issues.

​@@leomcmillion I tried I did something like this. Still can't get it to work. Also when I deploy in FF I see the function but when I deploy outside of it I don't. const functions = require('firebase-functions'); const axios = require('axios'); const apiKey = apikey; exports.chatGPTtestfunction = functions.region('us-central1').runWith({ timeoutSeconds: 90, memory: '128MB' }).https.onCall(async (data, context) => { console.log('Function invoked'); if (!context.auth || !context.auth.uid) { console.log('Authentication required'); return { success: false, error: 'Authentication required' }; } const tripTitle = data.tripTitle; const tripDetails = data.tripDetails console.log('Received data:', { tripTitle, tripDetails }); const prompt = `Please analyze the following trip for me: Title: ${tripTitle} Description: ${tripDetails}`; try { console.log('Sending request to OpenAI API'); const response = await axios.post('api.openai.com/v1/chat/completions', { model: 'gpt-4', // or the appropriate model messages: [ { role: 'system', content: 'You are a helpful assistant.' }, { role: 'user', content: prompt } ], max_tokens: 150 }, { headers: { 'Content-Type': 'application/json', 'Authorization': `Bearer ${apiKey}` } }); const breakdown = response.data.choices[0].message.content.trim(); console.log('Received response from OpenAI API:', breakdown); return { success: true, breakdown: breakdown }; } catch (error) { // Enhanced error logging if (error.response) { // The request was made and the server responded with a status code that falls out of the range of 2xx console.error('Error response data:', error.response.data); console.error('Error response status:', error.response.status); console.error('Error response headers:', error.response.headers); return { success: false, error: error.response.data }; } else if (error.request) { // The request was made but no response was received console.error('Error request data:', error.request); return { success: false, error: 'No response received from the API' }; } else { // Something happened in setting up the request that triggered an Error console.error('Error message:', error.message); return { success: false, error: error.message }; } } });

You could check their official documentation in case they have changed anything since the video was made, Hope that helps: platform.openai.com/docs/api-reference/chat/create

No. You will need to build it yourself.

@@leomcmillion 😅 im very bad with code.. Im using flutterflow but still im bad.. Any suggestion. This app is tournament related app.. So it contains payment and backend api and im very bad at it.. Any suggestions

It could be that your phone or the other phones you are testing on have saved a specific version of your app in the cache. So before testing try and reset the cache in the browser where you are testing the app. It could also be valuable to read the most recent docs for chatGPT since this video was made a while ago and could be outdated from all their recent updates.

@@leomcmillion thank you for your quick response. Most of the other phones were being used to test for the first time when we experienced the issue. Please can you direct me to the section of the Chatgpt documentation that covers this. Thanks 🙏🏾

@@knowpal-quiz platform.openai.com/docs/api-reference/chat/create

@@leomcmillion thank you very much.

I don't work with Supabase that much so am unsure why .url should not work if you added that field to the right table. Let me know if you find out how to access fields of a supabase document in the custom code.

Can try my best. Send me a video explaining your problem in more detail, to this email: [email protected]

You will need to use a newer model for example gpt 3.5-turbo 0125. But the newer models are still only informed up to a specific date. Since the the llm don't have access to the internet or real time data such as the current date, they can't answer such questions if you do not include that in their context information. Which you then need to update very regularly in order to keep the info relevant. The chat bots are much better on giving information that is more static and does not change day to day.