readme + demo

5683a92 almost 3 years ago

1.72 kB

import os

import hydra


from flows.flow_launchers import FlowLauncher
from flows.utils.general_helpers import read_yaml_file

from flows import logging
from flows.flow_cache import CACHING_PARAMETERS

CACHING_PARAMETERS.do_caching = False  # Set to True to enable caching
# clear_cache() # Uncomment this line to clear the cache

logging.set_verbosity_debug()

dependencies = [
    {"url": "aiflows/HumanStandardInputFlowModule", "revision": os.getcwd()},
]
from flows import flow_verse
flow_verse.sync_dependencies(dependencies)

if __name__ == "__main__":

    root_dir = "."
    cfg_path = os.path.join(root_dir, "demo.yaml")
    cfg = read_yaml_file(cfg_path)
    flow_with_interfaces = {
        "flow": hydra.utils.instantiate(cfg['flow'], _recursive_=False, _convert_="partial"),
        "input_interface": (
            None
            if getattr(cfg, "input_interface", None) is None
            else hydra.utils.instantiate(cfg['input_interface'], _recursive_=False)
        ),
        "output_interface": (
            None
            if getattr(cfg, "output_interface", None) is None
            else hydra.utils.instantiate(cfg['output_interface'], _recursive_=False)
        ),
    }

    # ~~~ Get the data ~~~
    # This can be a list of samples
    data = {"id": 0}  # Add your data here

    # ~~~ Run inference ~~~
    path_to_output_file = None
    # path_to_output_file = "output.jsonl"  # Uncomment this line to save the output to disk

    _, outputs = FlowLauncher.launch(
        flow_with_interfaces=flow_with_interfaces,
        data=data,
        path_to_output_file=path_to_output_file,
    )

    # ~~~ Print the output ~~~
    flow_output_data = outputs[0]
    print(flow_output_data)

	import os

	import hydra


	from flows.flow_launchers import FlowLauncher
	from flows.utils.general_helpers import read_yaml_file

	from flows import logging
	from flows.flow_cache import CACHING_PARAMETERS

	CACHING_PARAMETERS.do_caching = False # Set to True to enable caching
	# clear_cache() # Uncomment this line to clear the cache

	logging.set_verbosity_debug()

	dependencies = [
	{"url": "aiflows/HumanStandardInputFlowModule", "revision": os.getcwd()},
	]
	from flows import flow_verse
	flow_verse.sync_dependencies(dependencies)

	if __name__ == "__main__":

	root_dir = "."
	cfg_path = os.path.join(root_dir, "demo.yaml")
	cfg = read_yaml_file(cfg_path)
	flow_with_interfaces = {
	"flow": hydra.utils.instantiate(cfg['flow'], _recursive_=False, _convert_="partial"),
	"input_interface": (
	None
	if getattr(cfg, "input_interface", None) is None
	else hydra.utils.instantiate(cfg['input_interface'], _recursive_=False)
	),
	"output_interface": (
	None
	if getattr(cfg, "output_interface", None) is None
	else hydra.utils.instantiate(cfg['output_interface'], _recursive_=False)
	),
	}

	# ~~~ Get the data ~~~
	# This can be a list of samples
	data = {"id": 0} # Add your data here

	# ~~~ Run inference ~~~
	path_to_output_file = None
	# path_to_output_file = "output.jsonl" # Uncomment this line to save the output to disk

	_, outputs = FlowLauncher.launch(
	flow_with_interfaces=flow_with_interfaces,
	data=data,
	path_to_output_file=path_to_output_file,
	)

	# ~~~ Print the output ~~~
	flow_output_data = outputs[0]
	print(flow_output_data)