Problem with Transformers Agents: audio generation
### System Info

Hello. I'm exploring Transformers Agents capabilities and wanted to generate an image and ask the agent to say what it contains.
I created the image with the command:
room = agent.run("Generate an image of a 19th century ballroom")

that works fine, but when I ask to describe the image with:

audio = agent.run("Read out loud the contents of the image image", image=room)
play_audio(audio)

it answers with the attached error.
[message.txt](https://github.com/huggingface/transformers/files/11450975/message.txt)


### Who can help?

_No response_

### Information

- [ ] The official example scripts
- [X] My own modified scripts

### Tasks

- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X] My own task or dataset (give details below)

### Reproduction

room = agent.run("Generate an image of a 19th century ballroom")
audio = agent.run("Read out loud the contents of the image image", image=room)
play_audio(audio)


### Expected behavior

It should create an audio file with the description of the image.
How does it go if you decompose the process in several steps ? 

for example : 
```python
room = agent.run("Generate an image of a 19th century ballroom")
description = agent.run("describe the contents of the `image`", image=room)
audio = agent.run("Read out load the content of `description`", description=description)
play_audio(audio)
```<|||||>It seems to work now, even if the model said "A red carpet".

The image was:
![room](https://github.com/huggingface/transformers/assets/42667376/715da99f-650e-419e-ad9e-2d1ff66c11eb)

and the output:

==Explanation from the agent==
I will use the following  tool: `image_generator` to generate an image according to the prompt.


==Code generated by the agent==
image = image_generator(prompt="19th century ballroom")


==Result==
Downloading (…)ain/text_to_image.py: 100%
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A new version of the following files was downloaded from https://huggingface.co/space/huggingface-tools/text-to-image:
- text_to_image.py
. Make sure to double-check they do not contain any added malicious code. To avoid downloading new versions of the code file, you can pin a revision.
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`text_config_dict` is provided which will be used to initialize `CLIPTextConfig`. The value `text_config["id2label"]` will be overriden.
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==Explanation from the agent==
I will use the following  tool: `image_captioner` to generate a description of the image.


==Code generated by the agent==
description = image_captioner(image)


==Result==
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/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py:1346: UserWarning: Using `max_length`'s default (20) to control the generation length. This behaviour is deprecated and will be removed from the config in v5 of Transformers -- we recommend using `max_new_tokens` to control the maximum length of the generation.
  warnings.warn(
==Explanation from the agent==
I will use the following  tool: `text_reader` to read out loud the content of the variable `description`.


==Code generated by the agent==
audio_description = text_reader(description)


==Result==
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Dataset cmu-arctic-xvectors downloaded and prepared to /root/.cache/huggingface/datasets/Matthijs___cmu-arctic-xvectors/default/0.0.1/a62fea1f9415e240301ea0042ffad2a3aadf4d1caa7f9a8d9512d631723e781f. Subsequent calls will reuse this data.
<|||||>This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

Please note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) are likely to be ignored.