MESOP is an open-source project from Google that allows you to build beautiful and responsive web UIs in pure Python. It provides a set of pre-built UI components and a state management system that makes it easy to create multi-page applications.

Here's a quick overview of how to get started with MESOP:

1. Install the MESOP package: MESOP is not an official Google product, but it's available as an open-source project. You can install it using pip.

2. Import the necessary modules: You'll need to import the mesop package and the mesop.lab module, which contains the pre-built UI components.

3. Create a page: The basic building block in MESOP is a page. You can define a page using the @me.page decorator and provide a name for the page.

4. Use pre-built components: MESOP comes with a set of pre-built UI components, such as chat, text-to-text, and text-to-image. You can use these components in your page by calling the corresponding function from the mesop.lab module.

5. Manage state: MESOP provides a State class that makes it easy to manage the state of your application. You can create state variables and update them in response to user interactions.

6. Deploy your application: MESOP applications can be deployed to production environments. The project provides a mesop.run() function that you can use to run your application.

Here's an example of a simple chat application built with MESOP:

from mesop import me
from mesop.lab import chat

@me.page('/chat')
def chat_page():
    return chat.transform(
        prompt='Hi, how are you?',
        chat_history=[],
        user_role='user',
        title='Gemini Chat'
    )

me.run()

In this example, we define a page at the /chat endpoint that uses the chat component from the mesop.lab module. The transform function takes the user's input, the chat history, the user's role, and the title of the chat window, and returns the response from the language model.

MESOP is a powerful tool for building responsive and interactive web applications in Python. Its focus on AI-related use cases and its state management system make it a compelling alternative to other Python web frameworks like Streamlit or Gradio.

MESOP, Google's open-source package for building beautiful web UIs in pure Python, offers a variety of pre-built UI components that can help expedite your development process. These components are focused on AI models and applications, providing a seamless integration between your Python code and the user interface.

Some of the key pre-built components include:

1. Chat Component: This component allows you to build your own chatbot applications, where the input from the user is processed and the output is displayed in the chat window.

2. Text-to-Text Component: This component handles text-to-text transformations, such as rephrasing or rewriting input text.

3. Text-to-Image Component: This component integrates with image generation models, allowing users to input text and see the corresponding generated images within the UI.

4. File Upload Component: Users can upload files directly within the MESOP-powered application, enabling features like file management or data processing.

5. Selection Components: MESOP provides components for radio buttons, toggles, and other selection-based UI elements, making it easy to build interactive applications.

These pre-built components are designed to be highly customizable, allowing you to build unique and responsive UIs without the need to write extensive JavaScript, CSS, or HTML code. By leveraging these components, you can rapidly prototype and develop AI-powered applications, focusing on the core functionality rather than the user interface implementation.

The MESOP team is continuously expanding the library of pre-built components, so you can expect to see more specialized UI elements in the future, further enhancing the flexibility and capabilities of this open-source project.

MESOP provides a robust state management system that makes it easier to manage the state of your application. The State class within the MESOP package allows you to easily track and update the state of different variables in your codebase.

Here's an example that demonstrates how to use the State class to manage a simple counter:

from mesop import State, page

# Create a State object to track the number of clicks
clicks = State(0)

@page("counter")
def counter():
    # Access the current value of the clicks state
    click_count = clicks.value

    # Increment the clicks state when the button is clicked
    @clicks.event
    def button_click(event):
        clicks.update(click_count + 1)

    # Render the UI with the current click count
    return me.column(
        me.text(f"You have clicked the button {click_count} times."),
        me.button("Increment", on_click=button_click),
    )

In this example, we create a State object called clicks to track the number of clicks. We then define a counter function that is decorated with @page to create a new page in our MESOP application.

Inside the counter function, we access the current value of the clicks state using clicks.value. We then define a button_click function that is registered as an event handler for the button click using @clicks.event. Whenever the button is clicked, this function is called, and it updates the clicks state by incrementing the value.

Finally, we render the UI with the current click count and the button to increment the count.

This example demonstrates how MESOP's state management system makes it easy to manage the state of your application. By using the State class, you can easily track and update the state of your variables, and MESOP will handle the updates to the UI automatically.

The MESOP team has provided a variety of demo applications to showcase the capabilities of the framework. Let's explore some of these demos:

1. Chart Demo:

   • This demo showcases the use of the chart component in MESOP.
   • The chart component allows you to create interactive and responsive charts within your MESOP application.
   • You can customize the chart by providing the user role and title.
   • The demo simply takes the user input and displays it on the chart, demonstrating the basic functionality.

2. ML Rewriter Demo:

   • This demo showcases the text-to-text transformation capabilities of MESOP.
   • It takes a user prompt as input and generates a rewritten version of the text.
   • This can be useful for tasks like paraphrasing, summarization, or language translation.

3. Gemini and ChatGPT Pro Demo:

   • This demo showcases the multi-page feature of MESOP, allowing users to switch between different pages.
   • It provides an interface to interact with either the Gemini 1.5 or ChatGPT Pro language models.
   • Users can select the desired model and provide input, which will be processed and the output will be displayed.
   • This demo highlights the flexibility of MESOP in integrating with various AI models and creating a seamless user experience.

These demos provide a great starting point for understanding the capabilities of MESOP and how you can leverage them in your own projects. They demonstrate the core features of the framework, such as the built-in UI components, state management, and the ability to integrate with external AI models.

By exploring these demos, you can gain insights into how to structure your MESOP applications, handle user interactions, and create visually appealing and responsive user interfaces. These examples can serve as a foundation for building your own MESOP-powered applications.

To build a chat app using MESOP and Gemini, we'll follow these steps:

1. Install the required packages:

   • misop: the MESOP library
   • google-generative-ai: the Gemini API client

2. Import the necessary modules:

   • misop and misop.labs for the MESOP components
   • google.generative.v1 for the Gemini API

3. Configure the Gemini model settings, such as the API key.

4. Define the main page function:

   • Use the @me.page decorator to define the entry point.
   • Utilize the misop.labs.Chat component to create the chat UI.
   • Implement the transform function to handle user input:
     • Pass the user's input to the Gemini API.
     • Stream the API's response back to the chat UI.

5. Run the MESOP application using the misop run command, specifying the entry point.

The resulting chat app will allow users to interact with the Gemini language model through a responsive and visually appealing interface, all built using Python and the MESOP library.

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In this tutorial, we have explored the capabilities of Misop, Google's open-source package for building beautiful and responsive web UIs in pure Python. We have learned about the key concepts of Misop, such as components, state management, and multi-page applications.

We have seen how to get started with Misop by setting up a Google Colab environment and running simple examples like a "Hello World" app and a counter app. We have also explored the pre-built components provided by Misop, such as the chat, text-to-text, and text-to-image components.

Finally, we have built a more complex chat application that integrates the Gemini API, demonstrating how Misop can be used to create powerful AI-powered applications. The flexibility and responsiveness of the Misop UI, combined with the ease of integration with external APIs, make it a compelling choice for building web applications, especially those involving AI and machine learning.

Overall, Misop appears to be a promising new tool in the Python web development ecosystem, and it will be interesting to see how it evolves and gains adoption over time. For developers looking to build beautiful and responsive web UIs without the need for JavaScript, CSS, or HTML, Misop is definitely worth exploring.