Create README.md

README.md

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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;
+}