Create app.py
Browse files
app.py
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import gradio as gr
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import pandas as pd
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# Function to find solutions with floating-point comparison tolerance
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def find_solutions(i_1, i_2):
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m1_range = range(3, 7) # m1 between 3 and 7
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m2_range = range(3, 7) # m2 between 3 and 7
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valid_solutions = []
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# z1 and z3 ranges under 50
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z1_range = range(18, 40)
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z3_range = range(18, 40)
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tolerance = 1e-9 # Set a tolerance for floating-point comparison
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# Iterating over all possible combinations
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for m1 in m1_range:
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for m2 in m2_range:
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for z1 in z1_range:
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for z3 in z3_range:
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# Calculate left-hand side and right-hand side of the equation
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lhs = (i_1 + 1) * m1 * z1
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rhs = (i_2 + 1) * m2 * z3
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# Use a tolerance to compare floating-point numbers
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if abs(lhs - rhs) < tolerance:
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valid_solutions.append((m1, m2, z1, z3))
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# Convert the list of solutions to a pandas DataFrame
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df = pd.DataFrame(valid_solutions, columns=['m1', 'm2', 'z1', 'z3'])
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return df
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# Create the Gradio app
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demo = gr.Interface(
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fn=find_solutions,
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inputs=[gr.Number(label="i_1"), gr.Number(label="i_2")],
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outputs=gr.DataFrame(label="Solutions"),
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title="iSolver | Find Valid Parameter Sets",
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description="""
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**Find all valid solutions** to satisfy the axle spacing equation of a two-speed manual transmission system.
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- **Equation**: (i_1 + 1) * m_1 * z_1 = (i_2 + 1) * m_2 * z_3
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- **i_i**: Conversion rates between gears
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- **m_i**: Modules of gears
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- **z_1** and **z_3**: The number of teeth on gears 1 and 3
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Enter two values for **i_1** and **i_2** below:
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"""
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)
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# Launch the app
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demo.launch(share=True)
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