Introduction
Gradio is a Python library that allows you to quickly create machine learning web applications. In this guide, we’ll walk through the steps to build a machine learning web application using Gradio on Ubuntu.
Prerequisites
Before proceeding, ensure you have:
- An Ubuntu server or desktop environment
- Python installed on your system
Steps to Build Machine Learning Web Application Using Gradio
- Install Gradio: Install Gradio using pip:
pip install gradio- Write Your Machine Learning Model: Write a Python script to define and load your machine learning model. For example:
# Import necessary libraries
import gradio as gr
# Define your machine learning model
def predict(text):
# Add your machine learning model prediction code here
return prediction_result
# Load your machine learning model
gr.Interface(fn=predict, inputs="text", outputs="text").launch()- Run Your Application: Run your machine learning web application:
python your_script.py- Access Your Application: Open a web browser and navigate to the URL provided in the terminal to access your machine learning web application.
Conclusion
Congratulations! You have successfully built a machine learning web application using Gradio on your Ubuntu system. You can now deploy your application and share it with others.
RDS CAL (Client Access License)
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