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#include <iostream> #include <string> #include <torch/torch.h> #include <transformers/generation_utils.h>

int main() { // Load the pre-trained GPT model std::string modelPath = "path/to/pretrained/model"; torch::jit::script::Module model = torch::jit::load(modelPath);

// Set the device (CPU or GPU)
torch::Device device(torch::kCPU);
model.to(device);

// Initialize the tokenizer
std::string tokenizerPath = "path/to/tokenizer";
transformers::GPT2Tokenizer tokenizer(tokenizerPath);

// Start the conversation loop
std::string userMessage;
while (true) {
    std::cout << "User: ";
    std::getline(std::cin, userMessage);

    // Tokenize the user's message
    std::vector<std::string> tokens = tokenizer.tokenize(userMessage);

    // Convert tokens to input tensor
    torch::Tensor inputIds = tokenizer.convertTokensToTensor(tokens).to(device);

    // Generate a response from the GPT model
    torch::Tensor outputIds = transformers::generate(model, inputIds);

    // Convert output tensor to tokens
    std::vector<std::string> responseTokens = tokenizer.convertIdsToTokens(outputIds);

    // Convert tokens to text
    std::string responseText = tokenizer.convertTokensToText(responseTokens);

    std::cout << "GPT: " << responseText << std::endl;
}

return 0;

}