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Create app.py
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app.py
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import streamlit as st
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import matplotlib.pyplot as plt
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import numpy as np
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# Function to draw the plot
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def draw_plot(length, width):
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fig, ax = plt.subplots(figsize=(8, 8))
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# Plotting the plot as a rectangle
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ax.plot([0, length], [0, 0], color="blue") # Bottom side
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ax.plot([0, length], [width, width], color="blue") # Top side
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ax.plot([0, 0], [0, width], color="blue") # Left side
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ax.plot([length, length], [0, width], color="blue") # Right side
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# Adding labels and title
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ax.set_title(f"Plot: Length = {length} units, Width = {width} units")
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ax.set_xlabel("Length (units)")
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ax.set_ylabel("Width (units)")
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# Set the limits
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ax.set_xlim(0, length + 10)
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ax.set_ylim(0, width + 10)
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# Hide the axes for better visual
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ax.axis('off')
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return fig
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# Streamlit interface
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st.title("Plot Drawing App")
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# User input for plot dimensions
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length = st.number_input("Enter the Length of the Plot (in units)", min_value=1, max_value=1000, value=50)
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width = st.number_input("Enter the Width of the Plot (in units)", min_value=1, max_value=1000, value=30)
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# Draw the plot when inputs are provided
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if length and width:
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fig = draw_plot(length, width)
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# Display the plot
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st.pyplot(fig)
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# Option to download the plot image
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st.download_button(
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label="Download Plot Image",
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data=fig_to_bytes(fig),
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file_name="plot_image.png",
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mime="image/png"
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)
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# Convert the plot to bytes for download
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def fig_to_bytes(fig):
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import io
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img_bytes = io.BytesIO()
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fig.savefig(img_bytes, format="png")
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img_bytes.seek(0)
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return img_bytes.read()
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