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app.py
CHANGED
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@@ -12,11 +12,12 @@ device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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OUT_PATH ="./savedPredictions/results.csv"
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def dataProcessing(file, timestamp_column:str=None):
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global chronos2
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if os.path.exists(OUT_PATH):
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os.remove(OUT_PATH)
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yield (
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gr.update(visible=True, value="⏳ Processing file, please wait..."), # processing_msg
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gr.update(visible=False), # plot_output
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@@ -35,14 +36,21 @@ def dataProcessing(file, timestamp_column:str=None):
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df.to_csv(OUT_PATH, index=False)
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except Exception as e:
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if os.path.exists(OUT_PATH):
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os.remove(OUT_PATH)
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OUT_PATH ="./savedPredictions/results.csv"
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def dataProcessing(file, timestamp_column: str = None):
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global chronos2
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if os.path.exists(OUT_PATH):
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os.remove(OUT_PATH)
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# Mostra messaggio di processing
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yield (
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gr.update(visible=True, value="⏳ Processing file, please wait..."), # processing_msg
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gr.update(visible=False), # plot_output
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df.to_csv(OUT_PATH, index=False)
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# Nascondi processing, mostra risultati
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yield (
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gr.update(visible=False), # processing_msg
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gr.update(visible=True, value=fig) if fig is not None else gr.update(visible=False), # plot_output
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gr.update(visible=True, value=OUT_PATH), # download_output
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gr.update(visible=False, value="") # errorHandler
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)
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except Exception as e:
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# Mostra errore
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yield (
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gr.update(visible=False), # processing_msg
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gr.update(visible=False), # plot_output
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gr.update(visible=False), # download_output
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gr.update(visible=True, value=f"Error: {e}") # errorHandler
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)
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if os.path.exists(OUT_PATH):
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os.remove(OUT_PATH)
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