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cablyai

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cablyai

A library meant to be a wrapper for the CablyAI service.

  • 0.0.5
  • PyPI
  • Socket score

Maintainers
1

cablyai

A simple Python client for interacting with the CablyAI API, allowing you to easily make requests for text, image, audio generation, and moderation.

Installation

To install the package, you can clone the repository using git and install it using pip:

git clone https://github.com/acattoXD/cablyai.git
cd cablyai
pip install .

Or, you install it using the pypi library.

pip install cablyai

Usage

Here’s a basic example of how to use the CablyAI client:

from cablyai import CablyAI

# Initialize the client with your API key
client = CablyAI("YOUR_API_KEY")

# Example: Chat request
response = client.chat.completions.create(
    model="MODEL_NAME",
    messages=[
        {"role": "user", "content": "Hello!"},
        {"role": "assistant", "content": "Hello! How can I assist you today?"}
    ]
)
print("Chat Response:", response.choices[0].message.content)

# Example: Image generation request
image_response = client.images.generate(
    prompt="A sunset over the mountains.",
    n=1,
    size="1024x1024",
    response_format="url",
    model="MODEL_NAME"
)
print("Image Response:", image_response.data[0].url)


# Example: Text-to-speech request
from pathlib import Path

speech_file_path = Path(__file__).parent / "speech.mp3"
audio_response = client.audio.speech.create(
    model="tts-1",
    voice="alloy",
    input="Today is a wonderful day to build something people love!"
)
audio_response.stream_to_file(speech_file_path)
print(f"Speech saved to {speech_file_path}")

# Example: Content moderation request
moderation_response = client.moderations.create(
    model="omni-moderation-latest",
    input="I hate you"
)
print("Moderation Response:", moderation_response)

API Methods

client.chat.completions.create(model: str, messages: list)

  • Description: Sends a chat prompt to the CablyAI API and returns the response.
  • Parameters:
    • model: The model to use for the chat.
    • messages: A list of messages in the conversation.

client.images.generate(prompt: str, n: int = 1, size: str = "1024x1024", response_format: str = "url", model: str)

  • Description: Generates an image based on the provided prompt.
  • Parameters:
    • prompt: The prompt for the image.
    • n: The number of images to generate (default is 1).
    • size: The size of the generated image (default is "1024x1024").
    • response_format: Format of the response (default is "url").
    • model: The model to use for image generation.

client.audio.speech.create(model: str, voice: str, input: str)

  • Description: Generates speech from the provided text input.
  • Parameters:
    • model: The model to use for text-to-speech conversion.
    • voice: The voice to use for the generated speech.
    • input: The text input to convert to speech.

client.moderations.create(model: str, input)

  • Description: Checks the content moderation for the provided input, which can be text or a combination of text and images.
  • Parameters:
    • model: The moderation model to use.
    • input: The input to moderate, can be text or a list containing both text and images.

License

This project is licensed under the ISC License - see the LICENSE file for details.

Contributing

Contributions are welcome! Please open an issue or submit a pull request for any improvements or bug fixes.

Author

acatto

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