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When using the sample electricity data in the app I get the following error. I also get this error when using my own data that is in the same format.
TypeError: This app has encountered an error. The original error message is redacted to prevent data leaks. Full error details have been recorded in the logs (if you're on Streamlit Cloud, click on 'Manage app' in the lower right of your app).
Traceback:
File "/home/adminuser/venv/lib/python3.10/site-packages/streamlit/runtime/scriptrunner/script_runner.py", line 534, in _run_script
exec(code, module.dict)
File "/mount/src/timegpt-forecaster-streamlit/app.py", line 366, in
main()
File "/mount/src/timegpt-forecaster-streamlit/app.py", line 340, in main
data, X_df, X_df_future, forecast_results, weights_df = perform_forecast(
File "/mount/src/timegpt-forecaster-streamlit/app.py", line 141, in perform_forecast
forecast_results, weights = predict_from_api(
File "/mount/src/timegpt-forecaster-streamlit/app.py", line 119, in predict_from_api
y_hat_df = pd.DataFrame(**response['forecast'])
The text was updated successfully, but these errors were encountered:
When using the sample electricity data in the app I get the following error. I also get this error when using my own data that is in the same format.
TypeError: This app has encountered an error. The original error message is redacted to prevent data leaks. Full error details have been recorded in the logs (if you're on Streamlit Cloud, click on 'Manage app' in the lower right of your app).
Traceback:
File "/home/adminuser/venv/lib/python3.10/site-packages/streamlit/runtime/scriptrunner/script_runner.py", line 534, in _run_script
exec(code, module.dict)
File "/mount/src/timegpt-forecaster-streamlit/app.py", line 366, in
main()
File "/mount/src/timegpt-forecaster-streamlit/app.py", line 340, in main
data, X_df, X_df_future, forecast_results, weights_df = perform_forecast(
File "/mount/src/timegpt-forecaster-streamlit/app.py", line 141, in perform_forecast
forecast_results, weights = predict_from_api(
File "/mount/src/timegpt-forecaster-streamlit/app.py", line 119, in predict_from_api
y_hat_df = pd.DataFrame(**response['forecast'])
The text was updated successfully, but these errors were encountered: