mirror of https://github.com/coqui-ai/TTS.git
Made the tqdm `progress_bar` objects of static download methods a static class variable (#3297)
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@ -26,7 +26,9 @@ LICENSE_URLS = {
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}
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}
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class ModelManager(object):
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class ModelManager(object):
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tqdm_progress = None
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"""Manage TTS models defined in .models.json.
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"""Manage TTS models defined in .models.json.
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It provides an interface to list and download
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It provides an interface to list and download
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models defines in '.model.json'
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models defines in '.model.json'
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@ -525,12 +527,12 @@ class ModelManager(object):
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total_size_in_bytes = int(r.headers.get("content-length", 0))
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total_size_in_bytes = int(r.headers.get("content-length", 0))
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block_size = 1024 # 1 Kibibyte
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block_size = 1024 # 1 Kibibyte
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if progress_bar:
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if progress_bar:
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progress_bar = tqdm(total=total_size_in_bytes, unit="iB", unit_scale=True)
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ModelManager.tqdm_progress = tqdm(total=total_size_in_bytes, unit="iB", unit_scale=True)
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temp_zip_name = os.path.join(output_folder, file_url.split("/")[-1])
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temp_zip_name = os.path.join(output_folder, file_url.split("/")[-1])
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with open(temp_zip_name, "wb") as file:
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with open(temp_zip_name, "wb") as file:
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for data in r.iter_content(block_size):
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for data in r.iter_content(block_size):
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if progress_bar:
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if progress_bar:
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progress_bar.update(len(data))
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ModelManager.tqdm_progress.update(len(data))
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file.write(data)
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file.write(data)
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with zipfile.ZipFile(temp_zip_name) as z:
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with zipfile.ZipFile(temp_zip_name) as z:
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z.extractall(output_folder)
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z.extractall(output_folder)
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@ -560,12 +562,12 @@ class ModelManager(object):
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total_size_in_bytes = int(r.headers.get("content-length", 0))
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total_size_in_bytes = int(r.headers.get("content-length", 0))
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block_size = 1024 # 1 Kibibyte
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block_size = 1024 # 1 Kibibyte
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if progress_bar:
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if progress_bar:
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progress_bar = tqdm(total=total_size_in_bytes, unit="iB", unit_scale=True)
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ModelManager.tqdm_progress = tqdm(total=total_size_in_bytes, unit="iB", unit_scale=True)
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temp_tar_name = os.path.join(output_folder, file_url.split("/")[-1])
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temp_tar_name = os.path.join(output_folder, file_url.split("/")[-1])
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with open(temp_tar_name, "wb") as file:
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with open(temp_tar_name, "wb") as file:
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for data in r.iter_content(block_size):
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for data in r.iter_content(block_size):
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if progress_bar:
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if progress_bar:
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progress_bar.update(len(data))
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ModelManager.tqdm_progress.update(len(data))
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file.write(data)
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file.write(data)
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with tarfile.open(temp_tar_name) as t:
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with tarfile.open(temp_tar_name) as t:
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t.extractall(output_folder)
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t.extractall(output_folder)
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@ -596,10 +598,10 @@ class ModelManager(object):
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block_size = 1024 # 1 Kibibyte
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block_size = 1024 # 1 Kibibyte
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with open(temp_zip_name, "wb") as file:
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with open(temp_zip_name, "wb") as file:
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if progress_bar:
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if progress_bar:
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progress_bar = tqdm(total=total_size_in_bytes, unit="iB", unit_scale=True)
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ModelManager.tqdm_progress = tqdm(total=total_size_in_bytes, unit="iB", unit_scale=True)
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for data in r.iter_content(block_size):
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for data in r.iter_content(block_size):
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if progress_bar:
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if progress_bar:
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progress_bar.update(len(data))
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ModelManager.tqdm_progress.update(len(data))
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file.write(data)
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file.write(data)
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@staticmethod
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@staticmethod
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