Spaces:
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Sleeping
hugo flores garcia
commited on
Commit
•
4ec7317
1
Parent(s):
9c153c6
fixes
Browse files- app.py +1 -1
- vampnet/__init__.py +3 -16
app.py
CHANGED
@@ -18,7 +18,7 @@ from vampnet import mask as pmask
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device = "cuda" if torch.cuda.is_available() else "cpu"
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interface = Interface.default()
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init_model_choice = open("DEFAULT_MODEL
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# load the init model
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interface.load_finetuned(init_model_choice)
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device = "cuda" if torch.cuda.is_available() else "cpu"
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interface = Interface.default()
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+
init_model_choice = open("DEFAULT_MODEL").read().strip()
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# load the init model
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interface.load_finetuned(init_model_choice)
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vampnet/__init__.py
CHANGED
@@ -36,14 +36,8 @@ def download_default():
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for filename in filenames:
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path = f"{MODELS_DIR}/{filename}"
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if not Path(path).exists():
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path
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-
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filename=filename,
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subfolder=None,
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local_dir=MODELS_DIR,
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local_dir_use_symlinks=False,
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local_files_only=False
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)
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paths.append(path)
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# load the models
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@@ -58,14 +52,7 @@ def download_finetuned(name):
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path = f"{MODELS_DIR}/loras/{name}/{filename}"
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if not Path(path).exists():
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print(f"{path} does not exist, downloading")
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path
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repo_id=repo_id,
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filename=filename,
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subfolder=f"loras/{name}",
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local_dir=MODELS_DIR,
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local_dir_use_symlinks=False,
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local_files_only=False
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)
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paths.append(path)
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# load the models
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for filename in filenames:
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path = f"{MODELS_DIR}/{filename}"
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if not Path(path).exists():
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+
print(f"{path} does not exist, downloading")
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FS.download(f"{repo_id}/{filename}", path)
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paths.append(path)
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# load the models
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path = f"{MODELS_DIR}/loras/{name}/{filename}"
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if not Path(path).exists():
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print(f"{path} does not exist, downloading")
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FS.download(f"{repo_id}/loras/{name}/{filename}", path)
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paths.append(path)
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# load the models
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