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Update app.py
Browse files
app.py
CHANGED
@@ -84,15 +84,32 @@ def plot_feature_importance(importance):
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plt.close()
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return buf
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# Main analysis function
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def analyze_file(file):
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try:
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# Step 1: Read file
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df = read_file(file)
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# Step 2: Clean data
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df_cleaned = clean_data(df)
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# Step 3: Generate summary statistics
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summary = generate_summary(df_cleaned)
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@@ -110,8 +127,22 @@ def analyze_file(file):
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importance.head(10), # Top 10 important features
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importance_plot_buf,
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)
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except Exception as e:
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-
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# Gradio Interface
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def gradio_interface():
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@@ -139,4 +170,4 @@ def gradio_interface():
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# Launch the Gradio interface
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interface = gradio_interface()
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interface.launch(debug=True)
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plt.close()
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return buf
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def analyze_file(file):
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try:
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# Step 1: Read file
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df = read_file(file)
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# Check if the dataframe is empty
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if df.empty:
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return (
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"The uploaded file is empty or has no valid data.",
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None,
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None,
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None,
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)
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# Step 2: Clean data
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df_cleaned = clean_data(df)
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# Check if the cleaned dataframe is still empty
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if df_cleaned.empty:
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return (
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"The dataset contains no valid data after cleaning.",
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None,
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None,
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None,
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)
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# Step 3: Generate summary statistics
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summary = generate_summary(df_cleaned)
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importance.head(10), # Top 10 important features
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importance_plot_buf,
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)
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except ValueError as ve:
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# Handle file format issues or parsing errors
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return (
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f"ValueError: {str(ve)}",
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None,
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None,
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None,
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)
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except Exception as e:
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# Catch any other unforeseen issues
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return (
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f"An unexpected error occurred: {str(e)}",
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None,
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None,
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None,
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)
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# Gradio Interface
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def gradio_interface():
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# Launch the Gradio interface
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interface = gradio_interface()
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interface.launch(debug=True)
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