Update image_question_answering.py
Author: mzamini92
Pull request: yes

In this modified version, the main changes are as follows:

The `encode` method now accepts a list of images and questions, and it returns a `DataLoader` object that batches the encoded inputs. This enables batch processing of multiple image and question pairs.

The `forward` method processes the inputs in batches using a `DataLoader` object. Each batch is sent to the device and processed by the model. The outputs are collected and concatenated along the batch dimension.

The `decode` method processes the outputs for each example in the batch and returns a list of answers.

The `description` and `inputs` sections are updated to reflect the changes and mention that the inputs should be provided as a list.

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Comments:
cc @LysandreJik 

Hey @mzamini92! We want these tools to be the simplest possible so that all agents can use them appropriately.

I recommend pushing your tool to the Hub instead, and replacing the existing ImQA tool with yours as explained in this guide: https://huggingface.co/docs/transformers/custom_tools#replacing-existing-tools