NeuralCore 1.0.9

A Python client for NeuralCore AI APIs

NeuralCore Python SDK

The NeuralCore Python SDK provides an easy-to-use interface for interacting with the NeuralCore AI APIs, including chat, vision, and text-to-speech (TTS) capabilities. This module enables seamless integration of NeuralCore’s powerful AI features into your applications.

Features

• Chat API: Send messages and interact with NeuralCore's language models.
• Vision API: Analyze images with advanced vision models.
• Text-to-Speech (TTS) API: Convert text into speech using various voice options.
• Custom Configuration: Set default parameters like temperature and tokens to customize responses.
• System Messages: Utilize system messages for providing context or instructions to models.
• Custom FineTuned Model Chat API: FineTune our Model with your data and use its in API.

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Installation

Clone or download this repository and ensure you have Python 3.7+ installed. Install the required dependencies:

pip install NeuralCore

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Usage

Initialization

To use the NeuralCore Python SDK, initialize the client with your API key:

from neuralcore import NeuralCore

api_key = "your_api_key_here"
client = NeuralCore(api_key)

Chat API

Send a chat request to NeuralCore. You can include system messages to provide specific instructions or context to the model:

response = client.chat(
    messages=[
        {"role": "system", "content": "You are an assistant that provides concise answers."},
        {"role": "user", "content": "What is the capital of France?"}
    ],
    model="neura-3.5-aala",
    temperature=0.8,
    tokens=150
)
print(response)

Note: System messages are optional but useful for guiding the model's behavior. Messages should follow the format:

• role: "system", "user", or "assistant"
• content: Text content for the respective role

Vision API

Send an image analysis request to NeuralCore. This feature allows models to interpret visual content based on a provided prompt:

response = client.vision(
    image_url="https://example.com/image.jpg",
    prompt="Describe the objects in the image.",
    model="neura-vision-3.5",
    temperature=0.7,
    tokens=200
)
print(response)

Text-to-Speech (TTS) API

Generate speech from text using NeuralCore's TTS API. Specify the desired voice to customize the output:

response = client.speak(
    text="Hello, how can I assist you?",
    voice="luna"  # Options: asteria, luna, stella, athena, hera, orion, arcas, perseus, angus, orpheus, helios, zeus
)
print(response)

Custom FineTuned Models API

Use your Custom FineTuned models using API

response = client.finetune_chat(
    "What is the capital of France?",
    model="YOUR_FINETUNED_MODEL_ID" #you can find your ModelID in https://neuralcore.org/dashboard/finetune
)
print(response)

Or using a message list

messages = [
    {"role": "system", "content": "You are a helpful AI assistant"},
    {"role": "user", "content": "What is the capital of France?"}
]
response = client.finetune_chat(
    messages=messages,
    model="YOUR_FINETUNED_MODEL_ID", #you can find your ModelID in https://neuralcore.org/dashboard/finetune
    temperature=0.7,
    tokens=200
)
print(response)

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Models Overview

Chat Models

NeuralCore offers several models for language processing tasks:

• neura-1.0: Base model for general language tasks.
• neura-2.0: Enhanced version with improved context handling.
• neura-3.5-aala: Latest release with advanced capabilities.
• neura-4.0-think: Latest Realease for reasoning.
• llama3-70b-8192: External model powered by Meta.

Vision Models

NeuralCore also provides specialized models for image analysis:

• neura-vision-1.0: Stable release for basic image analysis.
• neura-vision-2.0: Enhanced version with improved detail recognition.
• neura-vision-3.5: Latest release with advanced capabilities.

Text-to-Speech Voices

NeuralCore's TTS API supports the following voices:

• Female Voices: asteria, luna, stella, athena, hera
• Male Voices: orion, arcas, perseus, angus, orpheus, helios, zeus

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Configuration

You can customize the default settings during initialization:

from neuralcore import NeuralCoreConfig, NeuralCore

config = NeuralCoreConfig(
    api_key="your_api_key_here",
    base_url="https://api.neuralcore.org/api/n",
    tts_url="https://api.neuralcore.org/api/v1/tts",
    default_temperature=0.6,
    default_tokens=250,
    default_voice="luna"
)
client = NeuralCore(api_key=config.api_key)

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Error Handling

The SDK raises a NeuralCoreError for any issues with API requests. Example:

try:
    response = client.chat("What's the weather?")
except NeuralCoreError as e:
    print(f"Error: {e}")

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Requirements

• Python 3.7+
• requests library

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License

This project is licensed under the MIT License.

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Support

For support, contact NeuralCore Support or open an issue in this repository.