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import torch
from datetime import datetime
def prettify_date(date_str):
if date_str is None:
return "None"
try:
date_time_obj = datetime.strptime(date_str, "%Y-%m-%dT%H:%M:%S.%f")
return date_time_obj.strftime("%Y-%m-%d %H:%M:%S")
except ValueError:
return "Invalid date format"
def model_information(path):
model_data = torch.load(path, map_location="cpu")
print(f"Loaded model from {path}")
epochs = model_data.get("epoch", "None")
steps = model_data.get("step", "None")
sr = model_data.get("sr", "None")
f0 = model_data.get("f0", "None")
version = model_data.get("version", "None")
creation_date = model_data.get("creation_date", "None")
model_hash = model_data.get("model_hash", None)
pitch_guidance = "True" if f0 == 1 else "False"
creation_date_str = prettify_date(creation_date) if creation_date else "None"
return (
f"Epochs: {epochs}\n"
f"Steps: {steps}\n"
f"RVC Version: {version}\n"
f"Sampling Rate: {sr}\n"
f"Pitch Guidance: {pitch_guidance}\n"
f"Creation Date: {creation_date_str}\n"
f"Hash (ID): {model_hash}"
)
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