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"""
Gradio interface for converting models.
"""
import os
import uuid
import gradio as gr
from demo import constants, utils
from lczerolens.model import lczero as lczero_utils
def list_models():
"""
List the models in the model directory.
"""
models_info = utils.get_models_info()
return sorted([[model_info[0]] for model_info in models_info])
def on_select_model_df(
evt: gr.SelectData,
):
"""
When a model is selected, update the statement.
"""
return evt.value
def convert_model(
model_name: str,
):
"""
Convert the model.
"""
if model_name == "":
gr.Warning(
"Please select a model.",
)
return list_models(), ""
if model_name.endswith(".onnx"):
gr.Warning(
"ONNX conversion not implemented.",
)
return list_models(), ""
try:
lczero_utils.convert_to_onnx(
f"{constants.LEELA_MODEL_DIRECTORY}/{model_name}",
f"{constants.MODEL_DIRECTORY}/{model_name[:-6]}.onnx",
)
except RuntimeError:
gr.Warning(
f"Could not convert net at `{model_name}`.",
)
return list_models(), "Conversion failed"
return list_models(), "Conversion successful"
def upload_model(
model_file: gr.File,
):
"""
Convert the model.
"""
if model_file is None:
gr.Warning(
"File not uploaded.",
)
return list_models()
try:
id = uuid.uuid4()
tmp_file_path = f"{constants.LEELA_MODEL_DIRECTORY}/{id}"
with open(
tmp_file_path,
"wb",
) as f:
f.write(model_file)
utils.save_model(tmp_file_path)
except RuntimeError:
gr.Warning(
"Invalid file type.",
)
finally:
if os.path.exists(tmp_file_path):
os.remove(tmp_file_path)
return list_models()
def get_model_description(
model_name: str,
):
"""
Get the model description.
"""
if model_name == "":
gr.Warning(
"Please select a model.",
)
return ""
if model_name.endswith(".onnx"):
gr.Warning(
"ONNX description not implemented.",
)
return ""
try:
description = lczero_utils.describenet(
f"{constants.LEELA_MODEL_DIRECTORY}/{model_name}",
)
except RuntimeError:
raise gr.Error(
f"Could not describe net at `{model_name}`.",
)
return description
def get_model_path(
model_name: str,
):
"""
Get the model path.
"""
if model_name == "":
gr.Warning(
"Please select a model.",
)
return None
if model_name.endswith(".onnx"):
return f"{constants.MODEL_DIRECTORY}/{model_name}"
else:
return f"{constants.LEELA_MODEL_DIRECTORY}/{model_name}"
with gr.Blocks() as interface:
model_file = gr.File(type="binary")
upload_button = gr.Button(
value="Upload",
)
with gr.Row():
with gr.Column(scale=2):
model_df = gr.Dataframe(
headers=["Available models"],
datatype=["str"],
interactive=False,
type="array",
value=list_models,
)
with gr.Column(scale=1):
with gr.Row():
model_name = gr.Textbox(label="Selected model", lines=1, interactive=False, scale=7)
conversion_status = gr.Textbox(
label="Conversion status",
lines=1,
interactive=False,
)
convert_button = gr.Button(
value="Convert",
)
describe_button = gr.Button(
value="Describe model",
)
model_description = gr.Textbox(
label="Model description",
lines=1,
interactive=False,
)
download_button = gr.Button(
value="Get download link",
)
download_file = gr.File(
type="filepath",
label="Download link",
interactive=False,
)
model_df.select(
on_select_model_df,
None,
model_name,
)
upload_button.click(
upload_model,
model_file,
model_df,
)
convert_button.click(
convert_model,
model_name,
[model_df, conversion_status],
)
describe_button.click(
get_model_description,
model_name,
model_description,
)
download_button.click(
get_model_path,
model_name,
download_file,
)
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