How to Prediction the Gender Using Python
Published: 2023-05-08 07:05:31

How to Prediction the Gender Using Python

Hello coder, welcome to the codewithrandom blog. In this blog, we will learn how to Prediction the Gender Using Python built-in Tkinter library. The process of building a gender prediction GUI using tkinter involves creating a simple window and adding various widgets such as entry boxes for inputting data, a button for triggering the prediction, and a label for displaying the predicted gender. Once the GUI is built, it can be used to make predictions on new data by passing the input data to the trained model and displaying the predicted gender on the label.

How To Prediction the Gender Using Python in Tkinter, we need to perform the following steps:

For the [Prediction the Gender Using Python](https://www.codewithrandom.com/2023/05/06/predic-gender-using-python/) project, we need to install Tkinter  GUI. You can install these packages in your terminal.
```
$ pip install tk
```
step 1: open any python code Editor.

step 2: Importing the Required Modules.
```
import tkinter as tk from tkinter import ttk
```

step 3: create a function to define gender
```
def predict_gender(name): name = name.lower() if name[-1] == 'a': return "female" elif name[-1] == 'o': return "male" else: return "unknown" def main(): root = tk.Tk() root.title("Gender Predictor") root.geometry("400x200")
```
step 4: Define labels and entry box for user input
```
name_label = ttk.Label(root, text="Enter name:") name_label.grid(row=0, column=0, padx=5, pady=5) name_entry = ttk.Entry(root) name_entry.grid(row=0, column=1, padx=5, pady=5) result_label = ttk.Label(root, text="Predicted gender:") result_label.grid(row=1, column=0, padx=5, pady=5) result_entry = ttk.Entry(root, state="readonly") result_entry.grid(row=1, column=1, padx=5, pady=5)
```
step 5: Define the function that will handle the prediction and update the result
```
def predict(): name = name_entry.get() gender = predict_gender(name) result_entry.config(state="normal") result_entry.delete(0, tk.END) result_entry.insert(0, gender) result_entry.config(state="readonly")
```
step 6: Define the "Predict" button and bind it to the prediction function
```
predict_button = ttk.Button(root, text="Predict", command=predict) predict_button.grid(row=2, column=0, columnspan=2, padx=5, pady=5) root.mainloop() if __name__ == '__main__': main()
```

Complete Source Code For Prediction of the Gender Using Python(copy the code and run )

Hope you Like the Code!
```
import tkinter as tk from tkinter import ttk def predict_gender(name): name = name.lower() if name[-1] == 'a': return "female" elif name[-1] == 'o': return "male" else: return "unknown" def main(): root = tk.Tk() root.title("Gender Predictor") root.geometry("400x200") # Define labels and entry box for user input name_label = ttk.Label(root, text="Enter name:") name_label.grid(row=0, column=0, padx=5, pady=5) name_entry = ttk.Entry(root) name_entry.grid(row=0, column=1, padx=5, pady=5) result_label = ttk.Label(root, text="Predicted gender:") result_label.grid(row=1, column=0, padx=5, pady=5) result_entry = ttk.Entry(root, state="readonly") result_entry.grid(row=1, column=1, padx=5, pady=5) # Define the function that will handle the prediction and update the result def predict(): name = name_entry.get() gender = predict_gender(name) result_entry.config(state="normal") result_entry.delete(0, tk.END) result_entry.insert(0, gender) result_entry.config(state="readonly") # Define the "Predict" button and bind it to the prediction function predict_button = ttk.Button(root, text="Predict", command=predict) predict_button.grid(row=2, column=0, columnspan=2, padx=5, pady=5) root.mainloop() if __name__ == '__main__': main()
```

Summary

Hurray! You have successfully Prediction the Gender Using Python. Python can be a powerful tool for building gender prediction models and Tkinter can be used to create a simple and user-friendly GUI for making predictions. Hope you enjoyed building with us! Visit our homepage and you get lots of projects