#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;
}