run.py

import os

import hydra

from aiflows.backends.api_info import ApiInfo
from aiflows.messages import InputMessage
from aiflows.utils.general_helpers import read_yaml_file, quick_load

from aiflows import logging
from aiflows.flow_cache import CACHING_PARAMETERS, clear_cache

CACHING_PARAMETERS.do_caching = False  # Set to True in order to disable caching

logging.set_verbosity_debug()
logging.auto_set_dir()

dependencies = [
    {"url": "aiflows/InteractiveCodeGenFlowModule", "revision": "main"},
]

from aiflows import flow_verse

flow_verse.sync_dependencies(dependencies)

if __name__ == "__main__":
    # ~~~ make sure to set the openai api key in the envs ~~~
    key = os.getenv("OPENAI_API_KEY")
    api_information = [ApiInfo(backend_used="openai", api_key=os.getenv("OPENAI_API_KEY"))]
    current_dir = os.getcwd()
    cfg_path = os.path.join(current_dir, "InteractiveCodeGenFlow.yaml")
    cfg = read_yaml_file(cfg_path)

    # configuring memory files
    with open(os.path.join(current_dir, "example_library.py"), 'w') as f:
        pass
    memory_files = {"code_library": os.path.join(current_dir, "example_library.py")}
    cfg["memory_files"] = memory_files

    # configuring api information
    quick_load(cfg, api_information)

    InteractiveCodeGenFlow = hydra.utils.instantiate(cfg, _recursive_=False, _convert_="partial")


    input_data = {
        "goal": "write a function to add up two numbers"
    }
    input_message = InputMessage.build(
        data_dict=input_data,
        src_flow="Launcher",
        dst_flow=InteractiveCodeGenFlow.name
    )

    # ~~~ calling the flow ~~~
    output_message = InteractiveCodeGenFlow(input_message)

    print(output_message.data)