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from glob import glob | |
import os | |
import shutil | |
import gradio as gr | |
from infer.lib.train.process_ckpt import extract_small_model | |
def download_weight(exp_dir: str) -> str: | |
models = glob(f"{exp_dir}/G_*.pth") | |
if not models: | |
raise gr.Error("No model found") | |
latest_model = max(models, key=os.path.getctime) | |
print(f"Latest model: {latest_model}") | |
name = os.path.basename(exp_dir) | |
out = os.path.join(exp_dir, f"{name}.pth") | |
extract_small_model( | |
latest_model, out, "40k", True, "Model trained by ZeroGPU.", "v2" | |
) | |
return out | |
def download_expdir(exp_dir: str) -> str: | |
shutil.make_archive(exp_dir, "zip", exp_dir) | |
return f"{exp_dir}.zip" | |
def remove_expdir(exp_dir: str) -> str: | |
shutil.rmtree(exp_dir) | |
return "" | |
class ExportTab: | |
def __init__(self): | |
pass | |
def ui(self): | |
gr.Markdown("# Download Model or Experiment Directory") | |
gr.Markdown( | |
"You can download the latest model or the entire experiment directory here." | |
) | |
with gr.Row(): | |
self.download_weight_btn = gr.Button( | |
value="Latest model (for inferencing)", variant="primary" | |
) | |
self.download_weight_output = gr.File(label="Prune latest model") | |
with gr.Row(): | |
self.download_expdir_btn = gr.Button( | |
value="Download experiment directory", variant="primary" | |
) | |
self.download_expdir_output = gr.File(label="Archive experiment directory") | |
with gr.Row(): | |
self.remove_expdir_btn = gr.Button( | |
value="REMOVE experiment directory", variant="stop" | |
) | |
def build(self, exp_dir: gr.Textbox): | |
self.download_weight_btn.click( | |
fn=download_weight, | |
inputs=[exp_dir], | |
outputs=[self.download_weight_output], | |
) | |
self.download_expdir_btn.click( | |
fn=download_expdir, | |
inputs=[exp_dir], | |
outputs=[self.download_expdir_output], | |
) | |
self.remove_expdir_btn.click( | |
fn=remove_expdir, | |
inputs=[exp_dir], | |
outputs=[exp_dir], | |
) | |