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Update app.py
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app.py
CHANGED
@@ -46,7 +46,7 @@ with gr.Blocks() as demo:
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gr.Dropdown(["nous", "openllm"], label="Benchmark", info="Select your benchmark suite", value="nous"),
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gr.Textbox("", label="Model", info="ID of the model you want to evaluate", placeholder="mlabonne/NeuralBeagle14-7B"),
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gr.Dropdown(GPU_LIST, label="GPU", value="NVIDIA GeForce RTX 3090", info="Select your GPU to run the evaluation"),
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gr.Slider(
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gr.Slider(minimum=50, maximum=500, value=100, step=25, label="Container disk", info="Size of the container disk in GB"),
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gr.Dropdown(["COMMUNITY", "SECURE"], value="COMMUNITY", label="Cloud type", info="Select your cloud type"),
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gr.Textbox("https://github.com/mlabonne/llm-autoeval.git", label="LLM AutoEval repo", info="Link to your LLM AutoEval repo"),
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gr.Dropdown(["nous", "openllm"], label="Benchmark", info="Select your benchmark suite", value="nous"),
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gr.Textbox("", label="Model", info="ID of the model you want to evaluate", placeholder="mlabonne/NeuralBeagle14-7B"),
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gr.Dropdown(GPU_LIST, label="GPU", value="NVIDIA GeForce RTX 3090", info="Select your GPU to run the evaluation"),
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gr.Slider(minimum=1, maximum=8, value=1, step=1, label="Number of GPUs", info="Number of GPUs to use"),
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gr.Slider(minimum=50, maximum=500, value=100, step=25, label="Container disk", info="Size of the container disk in GB"),
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gr.Dropdown(["COMMUNITY", "SECURE"], value="COMMUNITY", label="Cloud type", info="Select your cloud type"),
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gr.Textbox("https://github.com/mlabonne/llm-autoeval.git", label="LLM AutoEval repo", info="Link to your LLM AutoEval repo"),
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