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import os, subprocess
import gradio as gr
import shutil
from mega import Mega
import pandas as pd
import os
# Class to handle caching model urls from a spreadsheet
class CachedModels:
def __init__(self):
csv_url = "https://docs.google.com/spreadsheets/d/1tAUaQrEHYgRsm1Lvrnj14HFHDwJWl0Bd9x0QePewNco/export?format=csv&gid=1977693859"
if os.path.exists("spreadsheet.csv"):
self.cached_data = pd.read_csv("spreadsheet.csv")
else:
self.cached_data = pd.read_csv(csv_url)
self.cached_data.to_csv("spreadsheet.csv", index=False)
# Cache model urls
self.models = {}
for _, row in self.cached_data.iterrows():
filename = row['Filename']
url = None
for value in row.values:
if isinstance(value, str) and "huggingface" in value:
url = value
break
if url:
self.models[filename] = url
# Get cached model urls
def get_models(self):
return self.models
def show(path,ext,on_error=None):
try:
return list(filter(lambda x: x.endswith(ext), os.listdir(path)))
except:
return on_error
def run_subprocess(command):
try:
subprocess.run(command, check=True)
return True, None
except Exception as e:
return False, e
def download_from_url(url=None, model=None):
if not url:
try:
url = model[f'{model}']
except:
gr.Warning("Failed")
return ''
if model == '':
try:
model = url.split('/')[-1].split('?')[0]
except:
gr.Warning('Please name the model')
return
model = model.replace('.pth', '').replace('.index', '').replace('.zip', '')
url = url.replace('/blob/main/', '/resolve/main/').strip()
for directory in ["downloads", "unzips","zip"]:
#shutil.rmtree(directory, ignore_errors=True)
os.makedirs(directory, exist_ok=True)
try:
if url.endswith('.pth'):
subprocess.run(["wget", url, "-O", f'assets/weights/{model}.pth'])
elif url.endswith('.index'):
os.makedirs(f'logs/{model}', exist_ok=True)
subprocess.run(["wget", url, "-O", f'logs/{model}/added_{model}.index'])
elif url.endswith('.zip'):
subprocess.run(["wget", url, "-O", f'downloads/{model}.zip'])
else:
if "drive.google.com" in url:
url = url.split('/')[0]
subprocess.run(["gdown", url, "--fuzzy", "-O", f'downloads/{model}'])
elif "mega.nz" in url:
Mega().download_url(url, 'downloads')
else:
subprocess.run(["wget", url, "-O", f'downloads/{model}'])
downloaded_file = next((f for f in os.listdir("downloads")), None)
if downloaded_file:
if downloaded_file.endswith(".zip"):
shutil.unpack_archive(f'downloads/{downloaded_file}', "unzips", 'zip')
for root, _, files in os.walk('unzips'):
for file in files:
file_path = os.path.join(root, file)
if file.endswith(".index"):
os.makedirs(f'logs/{model}', exist_ok=True)
shutil.copy2(file_path, f'logs/{model}')
elif file.endswith(".pth") and "G_" not in file and "D_" not in file:
shutil.copy(file_path, f'assets/weights/{model}.pth')
elif downloaded_file.endswith(".pth"):
shutil.copy(f'downloads/{downloaded_file}', f'assets/weights/{model}.pth')
elif downloaded_file.endswith(".index"):
os.makedirs(f'logs/{model}', exist_ok=True)
shutil.copy(f'downloads/{downloaded_file}', f'logs/{model}/added_{model}.index')
else:
gr.Warning("Failed to download file")
return 'Failed'
gr.Info("Done")
except Exception as e:
gr.Warning(f"There's been an error: {str(e)}")
finally:
shutil.rmtree("downloads", ignore_errors=True)
shutil.rmtree("unzips", ignore_errors=True)
shutil.rmtree("zip", ignore_errors=True)
return 'Done'
def speak(audio, text):
print(f"({audio}, {text})")
current_dir = os.getcwd()
os.chdir('./gpt_sovits_demo')
process = subprocess.Popen([
"python", "./zero.py",
"--input_file", audio,
"--audio_lang", "English",
"--text", text,
"--text_lang", "English"
], stdout=subprocess.PIPE, text=True)
for line in process.stdout:
line = line.strip()
if "All keys matched successfully" in line:
continue
if line.startswith("(") and line.endswith(")"):
path, finished = line[1:-1].split(", ")
if finished:
os.chdir(current_dir)
return path
os.chdir(current_dir)
return None
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