How to Use PaLI Gemma 2 Mix with Gradio Client for Free on Google Colab

This tutorial demonstrates how to use the PaLI Gemma 2 Mix model with gradio_client on Google Colab for free. The process involves the following steps:

1. Install Required Libraries

Since we are using gradio_client to access the model, we need to install it first:

!pip install gradio_client

2. Load the Gradio Client

We then import the required functions from gradio_client and initialize the model client.

from gradio_client import Client, handle_file
from gradio_client import file as file_

This allows us to interact with a remote Gradio API hosting the PaLI Gemma 2 Mix model.

3.1 Load and Preprocess the Image

Before sending the image to the model, we may need to resize it while maintaining the aspect ratio. This is done using OpenCV:

import cv2

def resize_image(image_path, width=None, height=None):
    """Resizes an image while maintaining aspect ratio if only one dimension is given."""
    image = cv2.imread(image_path)
    h, w = image.shape[:2]

    if width is None and height is None:
        raise ValueError("At least one of 'width' or 'height' must be specified")

    if width is None:
        aspect_ratio = w / h
        width = int(height * aspect_ratio)
    elif height is None…