Hussein Habibi Juybari Husseinhj

ChatGPT Conversation Exporter

Export all your ChatGPT conversations as JSON + Markdown + HTML + ZIP. Works with ChatGPT Business/Team/Enterprise accounts (including SSO/Okta).

JSON — Raw conversation data from the API
Markdown — Clean text with headers per message, relative links to downloaded files
HTML — ChatGPT-style conversation viewer with sidebar navigation, syntax-highlighted code blocks, and embedded images

Install tor via HomeBrew and start the tor serivce.

brew install tor && brew services start tor

And to use obsf4 proxy we need to install its library/ Use HomeBrew for installation of the library.

brew install obfs4proxy

Create apple-app-site-association text file without .json file extension
Use application/json MIME type for the text file
Have the following contents of the file similar to this format:
```
 {
 	"applinks": {
```

"apps": [],

CLICK ME

print("hello world!")

For example, you want to set 40% alpha transparence to #000000 (black color), you need to add 66 like this #66000000.

	data class SellerData(val count: Int)

	data class BuyerData(val count: Int)

	@Stable
	class UiState {
	val sellerData = mutableStateOf<SellerData>(SellerData(0))
	val buyerData = mutableStateOf<BuyerData>(BuyerData(0))
	}

	doInstall <- TRUE
	toInstall <- c("ggplot2", "cluster", "MASS", "smacof")
	if(doInstall){install.packages(toInstall, repos = "http://cran.us.r-project.org")}
	lapply(toInstall, library, character.only = TRUE)

	# Generate a matrix of dissimilarities from pairwise correlations
	data(breakfast) # Preference orderings of breakfast items, from smacof
	corrMat <- cor(breakfast, use = "pair")
	distMat <- dist(corrMat)