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docs: update core modules part (#1116)
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camel/toolkits/dalle_toolkit.py

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class DalleToolkit(BaseToolkit):
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r"""A class representing a toolkit for image generation using OpenAI's.
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This class provides methods handle image generation using OpenAI's DALL-E.
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r"""A class representing a toolkit for image generation using OpenAI's
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DALL-E model.
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"""
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def base64_to_image(self, base64_string: str) -> Optional[Image.Image]:

docs/conf.py

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"logo": {
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"text": f"CAMEL {release}",
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"image_light": "https://raw.githubusercontent.com/camel-ai/camel/master/misc/logo_light.png",
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"image_dark": "https://raw.githubusercontent.com/camel-ai/camel/master/misc/logo_dark.png",
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"image_dark": "https://raw.githubusercontent.com/camel-ai/camel/master/misc/logo_light.png",
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}
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}
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docs/cookbooks/agents_message.ipynb

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{
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"cell_type": "markdown",
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"source": [
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"# 🐫 CAMEL Message Cookbook"
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"# Message Cookbook"
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],
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"metadata": {
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"id": "w5_pa5kKPzAE"
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"id": "PNBFEXc-R-0s",
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"outputId": "3efcae2c-a001-4098-a78f-bb8fb611925f"
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},
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"execution_count": 2,
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"execution_count": null,
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"outputs": [
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{
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"name": "stdout",
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"outputId": "aacee56c-7f1e-4220-d98d-f08baeaabb0d",
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"id": "DKcOX661Xvfd"
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},
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"execution_count": 3,
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"execution_count": null,
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"outputs": [
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{
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"output_type": "stream",
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"- `meta_dict`: An metadata dictionary for the message.\n",
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"\n",
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"Below are optional arguments you can pass:\n",
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"\n",
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"- `video_bytes`: Optional bytes of a video associated with the message.\n",
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"- `image_list`: Optional list of PIL Image objects associated with the message.\n",
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"- `image_detail`: Detail level of the images associated with the message. Default is \"auto\".\n",
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"metadata": {
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"id": "pAdDeN7DdUgr"
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},
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"execution_count": 8,
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"execution_count": null,
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"outputs": []
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},
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{
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"metadata": {
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"id": "pEiFYV-yez5j"
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},
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"execution_count": 9,
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"execution_count": null,
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"outputs": []
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},
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{
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"metadata": {
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"id": "iIWWSfSpEf2n"
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},
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"execution_count": 10,
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"execution_count": null,
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"outputs": []
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},
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{
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"id": "nbr7nIKxGz07",
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"outputId": "18d99774-b808-4f59-bca4-37606e075ed3"
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},
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"execution_count": 11,
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"execution_count": null,
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"outputs": [
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{
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"output_type": "stream",

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