Update app.py
Browse files
app.py
CHANGED
@@ -2,18 +2,15 @@ import gradio as gr
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import numpy as np
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def calculate_correlation(x_values, y_values):
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# Split the input strings by new lines and convert to lists of numbers
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try:
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x_values = list(map(float, x_values.split('\n')))
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y_values = list(map(float, y_values.split('\n')))
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except ValueError:
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return "Error: All values must be numbers."
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# Check if the lengths of x_values and y_values are the same
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if len(x_values) != len(y_values):
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return "Error: The number of X and Y values must be the same."
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-
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# Calculate the Pearson correlation coefficient
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n = len(x_values)
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sum_x = sum(x_values)
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sum_y = sum(y_values)
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@@ -30,12 +27,11 @@ def calculate_correlation(x_values, y_values):
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correlation = numerator / denominator
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return f"The Karl Pearson correlation coefficient is: {correlation:.10f}"
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# Create Gradio interface
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iface = gr.Interface(
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fn=calculate_correlation,
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inputs=[
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gr.
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gr.
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],
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outputs="text",
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title="Karl Pearson Correlation Coefficient Calculator",
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@@ -43,5 +39,4 @@ iface = gr.Interface(
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theme="compact"
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)
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# Launch the interface
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iface.launch()
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import numpy as np
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def calculate_correlation(x_values, y_values):
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try:
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x_values = list(map(float, x_values.split('\n')))
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y_values = list(map(float, y_values.split('\n')))
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except ValueError:
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return "Error: All values must be numbers."
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+
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if len(x_values) != len(y_values):
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return "Error: The number of X and Y values must be the same."
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+
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n = len(x_values)
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sum_x = sum(x_values)
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sum_y = sum(y_values)
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correlation = numerator / denominator
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return f"The Karl Pearson correlation coefficient is: {correlation:.10f}"
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iface = gr.Interface(
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fn=calculate_correlation,
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inputs=[
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gr.components.Textbox(lines=10, placeholder="Enter X values (one per line)"),
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gr.components.Textbox(lines=10, placeholder="Enter Y values (one per line)")
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],
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outputs="text",
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title="Karl Pearson Correlation Coefficient Calculator",
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theme="compact"
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)
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iface.launch()
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