markov_text_generation.c

/*
MIT License

Copyright (c) 2023 Jaysmito Mukherjee (jaysmito101@gmail.com)

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
*/

#define CGL_IMPLEMENTATION
#define CGL_EXCLUDE_TEXT_RENDER
#define CGL_EXCLUDE_NETWORKING
#define CGL_LOG printf
#include "cgl.h"


int main(int argc, char** argv)
{
    if (argc != 4)
    {
        printf("Invalid number of arguments\n");
        return -1;
    }
    // for random output on every run
    srand((uint32_t)time(NULL));


    // constants
    size_t trainer_data_size = 0;
    size_t n_gram_size = 4;


    char* trainer_data = CGL_utils_read_file(argv[1], &trainer_data_size);
    trainer_data_size = strlen(trainer_data);
    printf("trainer_data_size: %zu\n", trainer_data_size);

    // setup context
    printf("Creating Markov Context ... ");
    CGL_markov* mk = CGL_markov_create(n_gram_size, 1);
    CGL_markov_token_function_ngram_text_context* ng_ctx = CGL_markov_token_function_ngram_text_context_create(n_gram_size);
    printf("Done\n");

    // train and build data table
    printf("Training Markov Chains ... ");
    CGL_markov_train(mk, ng_ctx, trainer_data, trainer_data_size, CGL_markov_token_function_ngram_text);
    printf("Done\n");

    // free ngram context (only required for training)
    CGL_markov_token_function_ngram_text_context_destroy(ng_ctx);

    // prepare for generation
    size_t count = atoi(argv[2]);
    static char temp_buffer[4096];
    memset(temp_buffer, 0, sizeof(temp_buffer));
    static char temp_buffer2[4];
    memset(temp_buffer2, 0, sizeof(temp_buffer2));
    sprintf(temp_buffer, argv[3]);

    const char* key = temp_buffer + (strlen(argv[3]) == n_gram_size ? 0 : (strlen(argv[3]) - n_gram_size));

    // generate data
    printf("Generating Text ... ");
    while((count--) > 0 && CGL_markov_generate(mk, key++, temp_buffer2)) strcat(temp_buffer, temp_buffer2);
    printf("Done\n");
    printf("Generated text is : \n%s", temp_buffer);

    // destroy context
    CGL_markov_destroy(mk);
    CGL_free(trainer_data);

    return 0;
}