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src/huggingface/get_files.py
CHANGED
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@@ -23,7 +23,7 @@ def get_best(env: str, filename: str = "demo.mp4") -> Path:
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filename=hf_env_results_path,
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)
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with Path(local_env_results_path).open() as f:
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env_results = yaml.
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best_model_type = max(env_results, key=lambda model: env_results[model])
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model_results_path = f"models/{env}/{best_model_type}/results.yaml"
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local_model_results_path = hf_hub_download(
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@@ -32,7 +32,7 @@ def get_best(env: str, filename: str = "demo.mp4") -> Path:
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filename=model_results_path,
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)
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with Path(local_model_results_path).open() as f:
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model_results = yaml.
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best_model = max(model_results, key=lambda model: model_results[model])
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hf_gif_path = f"models/{env}/{best_model_type}/{best_model}/{filename}"
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filename=hf_env_results_path,
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)
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with Path(local_env_results_path).open() as f:
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env_results = yaml.safe_load(f)
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best_model_type = max(env_results, key=lambda model: env_results[model])
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model_results_path = f"models/{env}/{best_model_type}/results.yaml"
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local_model_results_path = hf_hub_download(
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filename=model_results_path,
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)
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with Path(local_model_results_path).open() as f:
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model_results = yaml.safe_load(f)
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best_model = max(model_results, key=lambda model: model_results[model])
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hf_gif_path = f"models/{env}/{best_model_type}/{best_model}/{filename}"
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