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Update app.py
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app.py
CHANGED
@@ -172,7 +172,7 @@ def train_model(x, target_cols):
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metrics = pd.DataFrame([[0.05, 0.017]], columns=["RMSE", "MAPE"])
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next_df = x.sample(n=5, random_state=12)
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next_df.drop(columns=target_cols, inplace=True)
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return "
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@@ -229,9 +229,9 @@ with gr.Blocks(css=css_styling, title=page_title, theme=osium_theme) as demo:
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with gr.Column():
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gr.Markdown("### Your model adaptation")
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output_text = gr.Textbox(label="Training results")
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output_plot = gr.Image(label="Training performance", elem_classes="output-image")
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output_performance = gr.DataFrame(label="Model performance")
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output_next_experiments = gr.DataFrame(label="Suggested experiments to improve performance")
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with gr.Tab(label="Run your model"):
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@@ -396,7 +396,7 @@ with gr.Blocks(css=css_styling, title=page_title, theme=osium_theme) as demo:
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train_button.click(
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fn=train_model,
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inputs=[input_csv, target_columns],
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outputs=[output_text, output_plot,
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show_progress=True,
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)
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metrics = pd.DataFrame([[0.05, 0.017]], columns=["RMSE", "MAPE"])
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next_df = x.sample(n=5, random_state=12)
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next_df.drop(columns=target_cols, inplace=True)
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return "0.017", performance_plot, next_df
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with gr.Column():
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gr.Markdown("### Your model adaptation")
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output_text = gr.Textbox(label="Training results - Mean Average Percentage Error")
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output_plot = gr.Image(label="Training performance", elem_classes="output-image")
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# output_performance = gr.DataFrame(label="Model performance")
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output_next_experiments = gr.DataFrame(label="Suggested experiments to improve performance")
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with gr.Tab(label="Run your model"):
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train_button.click(
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fn=train_model,
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inputs=[input_csv, target_columns],
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outputs=[output_text, output_plot, output_next_experiments],
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show_progress=True,
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)
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