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Update app.py
Browse files
app.py
CHANGED
@@ -525,6 +525,31 @@ def timegpt_fcst():
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time_taken = end_time - start_time
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st.success(f"Time taken for TimeGPT forecast: {time_taken:.2f} seconds")
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def timegpt_anom():
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@@ -602,7 +627,31 @@ def timegpt_anom():
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end_time = time.time() # End timing
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time_taken = end_time - start_time
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st.success(f"Time taken for TimeGPT forecast: {time_taken:.2f} seconds")
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time_taken = end_time - start_time
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st.success(f"Time taken for TimeGPT forecast: {time_taken:.2f} seconds")
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if 'forecast_df' in st.session_state:
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forecast_df = st.session_state.forecast_df
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st.markdown('You can download Input and Forecast Data below')
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tab_insample, tab_forecast = st.tabs(
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["Input data", "Forecast"]
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)
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with tab_insample:
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df_grid = df.drop(columns="unique_id")
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st.write(df_grid)
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# grid_table = AgGrid(
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# df_grid,
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# theme="alpine",
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# )
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with tab_forecast:
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if model_choice in forecast_results:
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df_grid = forecast_df
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st.write(df_grid)
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# grid_table = AgGrid(
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# df_grid,
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# theme="alpine",
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# )
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def timegpt_anom():
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end_time = time.time() # End timing
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time_taken = end_time - start_time
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st.success(f"Time taken for TimeGPT forecast: {time_taken:.2f} seconds")
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if 'forecast_df' in st.session_state:
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forecast_df = st.session_state.forecast_df
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st.markdown('You can download Input and Forecast Data below')
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tab_insample, tab_forecast = st.tabs(
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["Input data", "Forecast"]
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)
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with tab_insample:
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df_grid = df.drop(columns="unique_id")
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st.write(df_grid)
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# grid_table = AgGrid(
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# df_grid,
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# theme="alpine",
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# )
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with tab_forecast:
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if model_choice in forecast_results:
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df_grid = forecast_df
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st.write(df_grid)
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# grid_table = AgGrid(
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# df_grid,
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# theme="alpine",
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# )
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