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@@ -146,7 +146,7 @@ REMOTE_MODEL_PATHS = {
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"checksum": "8a98094e5e3a255a5c9c0ab7efe8fd28",
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},
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"fine": {
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"repo_id": "reach-vb/bark-small",
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"repo_id": "reach-vb/bark",
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"file_name": "fine_2.pt",
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"checksum": "59d184ed44e3650774a2f0503a48a97b",
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},
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@@ -199,24 +199,12 @@ def _parse_s3_filepath(s3_filepath):
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return bucket_name, rel_s3_filepath
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# def _download(from_s3_path, to_local_path):
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# os.makedirs(CACHE_DIR, exist_ok=True)
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# response = requests.get(from_s3_path, stream=True)
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# total_size_in_bytes = int(response.headers.get("content-length", 0))
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# block_size = 1024
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# progress_bar = tqdm.tqdm(total=total_size_in_bytes, unit="iB", unit_scale=True)
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# with open(to_local_path, "wb") as file:
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# for data in response.iter_content(block_size):
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# progress_bar.update(len(data))
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# file.write(data)
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# progress_bar.close()
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# if total_size_in_bytes != 0 and progress_bar.n != total_size_in_bytes:
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# raise ValueError("ERROR, something went wrong")
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def _download(from_hf_path, file_name, to_local_path):
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os.makedirs(CACHE_DIR, exist_ok=True)
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hf_hub_download(repo_id=from_hf_path, filename=file_name, cache_dir=to_local_path)
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destination_file_name = to_local_path.split("/")[-1]
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file_dir = CACHE_DIR
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hf_hub_download(repo_id=from_hf_path, filename=file_name, local_dir=file_dir)
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os.replace(f"{CACHE_DIR}/{file_name}", to_local_path)
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class InferenceContext:
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def __init__(self, benchmark=False):
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