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Update app.py
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app.py
CHANGED
@@ -113,7 +113,7 @@ with gr.Blocks() as demo:
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with gr.TabItem("Baseline Trainer") as baseline_trainer:
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with gr.Row():
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with gr.Column():
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title = gr.Markdown(""" ## Train a supervised baseline model""")
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description = gr.Markdown("This app trains a model and pushes it to your Hugging Face Hub Profile.")
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dataset = gr.File(label = "CSV Dataset")
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column = gr.Text(label = "Enter target variable:")
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@@ -132,7 +132,7 @@ with gr.Blocks() as demo:
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with gr.TabItem("Analyze") as analyze:
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with gr.Row():
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with gr.Column():
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title = gr.Markdown(""" ## Analyze Dataset """)
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description = gr.Markdown("Analyze a dataset or predictive variables against a target variable in a dataset (enter a column name to column section if you want to compare against target value). You can also do pairwise analysis, but it has quadratic complexity.")
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dataset = gr.File(label = "CSV Dataset")
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column = gr.Text(label = "Compare dataset against a target variable (Optional)")
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with gr.TabItem("Baseline Trainer") as baseline_trainer:
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with gr.Row():
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with gr.Column():
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title = gr.Markdown(""" ## Train a supervised baseline model πͺ""")
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description = gr.Markdown("This app trains a model and pushes it to your Hugging Face Hub Profile.")
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dataset = gr.File(label = "CSV Dataset")
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column = gr.Text(label = "Enter target variable:")
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with gr.TabItem("Analyze") as analyze:
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with gr.Row():
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with gr.Column():
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title = gr.Markdown(""" ## Analyze Dataset πͺ""")
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description = gr.Markdown("Analyze a dataset or predictive variables against a target variable in a dataset (enter a column name to column section if you want to compare against target value). You can also do pairwise analysis, but it has quadratic complexity.")
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dataset = gr.File(label = "CSV Dataset")
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column = gr.Text(label = "Compare dataset against a target variable (Optional)")
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