Problem with Transformers Agents: audio generation
Author: piust
Pull request: no

### 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.

Comments:
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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Downloading and preparing dataset cmu-arctic-xvectors/default to /root/.cache/huggingface/datasets/Matthijs___cmu-arctic-xvectors/default/0.0.1/a62fea1f9415e240301ea0042ffad2a3aadf4d1caa7f9a8d9512d631723e781f...
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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.


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