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