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Update app.py
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app.py
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@@ -5,53 +5,40 @@ import matplotlib.pyplot as plt
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from io import StringIO
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# Function to plot histogram
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def plot_histogram(file_contents, column):
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# Read the CSV file
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custom_df = pd.read_csv(StringIO(file_contents))
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# Plot histogram
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plt.ylabel('Frequency')
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return plt
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# Function to plot scatter plot
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def plot_scatter(file_contents, x_axis, y_axis):
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# Read the CSV file
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custom_df = pd.read_csv(StringIO(file_contents))
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# Plot scatter plot
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plt.ylabel(y_axis)
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return plt
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def layout_fn(inputs):
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# Get the data from uploaded file
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data = pd.read_csv(StringIO(inputs.file))
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# Get selected columns from dropdown options
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column_options = list(data.columns)
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selected_column = inputs.text if inputs.text else None
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selected_x_axis = inputs.text_1 if inputs.text_1 else None
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selected_y_axis = inputs.text_2 if inputs.text_2 else None
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# Create the figure with subplots
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fig, axes = plt.subplots(1, 2, figsize=(16, 6))
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# Check if data is uploaded and a column is selected for histogram
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if
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plot_histogram(
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else:
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axes[0].text(0.5, 0.5, "Upload a CSV and select a column", ha='center', va='center')
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# Check if data is uploaded and both x and y columns are selected for scatter plot
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if
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plot_scatter(
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else:
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axes[1].text(0.5, 0.5, "Upload a CSV, select X and Y columns", ha='center', va='center')
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@@ -60,32 +47,31 @@ def layout_fn(inputs):
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plt.tight_layout()
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return fig
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# Create the Gradio interface
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interface = gr.Interface(
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fn=layout_fn,
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inputs=[
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gr.
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gr.
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gr.
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gr.
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],
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outputs="plot",
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title="Data Visualization Tool",
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description="Upload a CSV file, select columns for histogram and scatter plots.",
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)
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if inputs.file:
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data = pd.read_csv(StringIO(inputs.file.getvalue()))
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choices = list(data.columns)
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interface.
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)
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interface.launch(share=True,fn_change=update_choices)
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from io import StringIO
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# Function to plot histogram
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def plot_histogram(file_contents, column, ax=None):
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# Read the CSV file
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custom_df = pd.read_csv(StringIO(file_contents))
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# Plot histogram
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sns.histplot(custom_df[column], ax=ax)
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ax.set_title(f'Histogram for {column}')
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ax.set_xlabel(column)
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ax.set_ylabel('Frequency')
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# Function to plot scatter plot
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def plot_scatter(file_contents, x_axis, y_axis, ax=None):
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# Read the CSV file
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custom_df = pd.read_csv(StringIO(file_contents))
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# Plot scatter plot
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sns.scatterplot(x=x_axis, y=y_axis, data=custom_df, ax=ax)
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ax.set_title(f'Scatter Plot ({x_axis} vs {y_axis})')
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ax.set_xlabel(x_axis)
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ax.set_ylabel(y_axis)
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def layout_fn(file, text, text_1, text_2):
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# Create the figure with subplots
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fig, axes = plt.subplots(1, 2, figsize=(16, 6))
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# Check if data is uploaded and a column is selected for histogram
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if file and text:
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plot_histogram(file.getvalue(), text, ax=axes[0])
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else:
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axes[0].text(0.5, 0.5, "Upload a CSV and select a column", ha='center', va='center')
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# Check if data is uploaded and both x and y columns are selected for scatter plot
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if file and text_1 and text_2:
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plot_scatter(file.getvalue(), text_1, text_2, ax=axes[1])
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else:
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axes[1].text(0.5, 0.5, "Upload a CSV, select X and Y columns", ha='center', va='center')
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plt.tight_layout()
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return fig
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# Create the Gradio interface
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interface = gr.Interface(
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fn=layout_fn,
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inputs=[
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gr.inputs.File(label="Upload CSV file"),
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gr.inputs.Dropdown(label="Select Column (Histogram)", choices=[]),
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gr.inputs.Dropdown(label="Select X-axis (Scatter)", choices=[]),
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gr.inputs.Dropdown(label="Select Y-axis (Scatter)", choices=[]),
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],
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outputs="plot",
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title="Data Visualization Tool",
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description="Upload a CSV file, select columns for histogram and scatter plots.",
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)
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def update_choices(file):
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if file:
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data = pd.read_csv(StringIO(file.getvalue()))
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choices = list(data.columns)
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interface.set_config(
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inputs=[
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gr.inputs.File(label="Upload CSV file"),
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gr.inputs.Dropdown(label="Select Column (Histogram)", choices=choices),
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gr.inputs.Dropdown(label="Select X-axis (Scatter)", choices=choices),
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gr.inputs.Dropdown(label="Select Y-axis (Scatter)", choices=choices),
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]
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)
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interface.run(share=True,fn_change=update_choices)
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