from llama_index.core import SimpleDirectoryReader
from llama_index.core.node_parser import SemanticSplitterNodeParser
from llama_index.embeddings.ollama import OllamaEmbedding

def generate_chunks(content):
    with open("./temp.txt", "wb") as file:
        file.write(content.encode("utf-8"))
        file.flush()
        file.close()

    embed_model = OllamaEmbedding(model_name="mxbai-embed-large")
    splitter = SemanticSplitterNodeParser(buffer_size=5, breakpoint_percentile_threshold=70, embed_model=embed_model)

    document = SimpleDirectoryReader(input_files=["./temp.txt"]).load_data()

    nodes = splitter.build_semantic_nodes_from_documents(document)

    output = []

    for i, node in enumerate(nodes):
        output.append(node.to_dict()["text"])

    return output