Gradio-Streamlit is an open-source framework that enables easy creation of interactive web applications for machine learning models. It combines the simplicity and interactivity of Gradio with the powerful dashboard capabilities of Streamlit, allowing developers to quickly build and deploy web-based machine learning tools. Gradio-Streamlit offers seamless integration for real-time feedback and visualization of machine learning models and data.

Features of Gradio-Streamlit:

• Integrates Gradio and Streamlit for fast and interactive app development.
• Supports real-time model inference with customizable user interfaces.
• Allows quick deployment of machine learning models in web apps.
• Provides intuitive controls for model input and output visualization.
• Flexible and scalable architecture for data science and machine learning applications.
• Easy to integrate with pre-trained models and custom machine learning pipelines.
• Runs in a local or cloud environment, making it ideal for quick testing or full deployment.
• Fully open-source and easy to install and set up.

To check Gradio-streamlit working, run these commands:

$ sudo su

$ source streamlit-env/bin/activate

$ streamlit run app.py

$ Access via http://localhost:8501 on your browser.

If you want to check its version: streamlit version

Disclaimer: Gradio-Streamlit is an open-source software. It is not affiliated with, endorsed by, or sponsored by any other company. Gradio-Streamlit is provided "as is," without any warranty, express or implied. Users utilize this software at their own risk. The developers and contributors to Gradio-Streamlit hold no responsibility for any damages, losses, or consequences resulting from the use of this software. Users are advised to carefully review and comply with licensing terms and any applicable regulations while using Gradio-Streamlit.