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Update app.py
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app.py
CHANGED
@@ -55,9 +55,9 @@ with gr.Blocks() as demo:
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gr.Markdown(TITLE)
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inputs = [
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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"),
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gr.Dropdown(GPU_LIST, label="GPU", info="Select your GPU to run the evaluation"),
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gr.Slider(1, 8, 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"], 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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@@ -66,6 +66,7 @@ with gr.Blocks() as demo:
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gr.Textbox("", label="Github API Token", info="Your Github API token"),
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gr.Textbox("", label="Runpod API Token", info="Your Runpod API token"),
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]
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outputs = gr.Textbox(visible=False)
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btn = gr.Button("Evaluate!")
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btn.click(autoeval, inputs, outputs)
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gr.Markdown(TITLE)
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inputs = [
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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(minium=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"], 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.Textbox("", label="Github API Token", info="Your Github API token"),
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gr.Textbox("", label="Runpod API Token", info="Your Runpod API token"),
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]
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]
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outputs = gr.Textbox(visible=False)
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btn = gr.Button("Evaluate!")
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btn.click(autoeval, inputs, outputs)
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