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Update app.py
Browse files
app.py
CHANGED
@@ -44,7 +44,7 @@ def get_model_size(model_info: ModelInfo):
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def add_docker_eval(zip_file):
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API.upload_file(
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-
path_or_fileobj= 'submitted_models/'
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repo_id="EnergyStarAI/tested_proprietary_models",
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path_in_repo=zip_file,
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repo_type="dataset",
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@@ -154,7 +154,7 @@ with gr.Blocks() as demo:
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with gr.Column():
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with gr.Accordion("Submit log files from a Docker run:", open = False):
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gr.Markdown("If you've already benchmarked your model using the [Docker file](https://github.com/huggingface/EnergyStarAI/) provided, please upload the **entire run log directory** (in .zip format) below:")
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file_output = gr.File()
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u = gr.UploadButton("Upload a zip file with logs", file_count="single")
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u.upload(add_docker_eval,u, file_output)
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with gr.Row():
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def add_docker_eval(zip_file):
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API.upload_file(
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+
path_or_fileobj= 'submitted_models/',
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repo_id="EnergyStarAI/tested_proprietary_models",
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path_in_repo=zip_file,
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repo_type="dataset",
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with gr.Column():
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with gr.Accordion("Submit log files from a Docker run:", open = False):
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gr.Markdown("If you've already benchmarked your model using the [Docker file](https://github.com/huggingface/EnergyStarAI/) provided, please upload the **entire run log directory** (in .zip format) below:")
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+
file_output = gr.File(visible=False)
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u = gr.UploadButton("Upload a zip file with logs", file_count="single")
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u.upload(add_docker_eval,u, file_output)
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with gr.Row():
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