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This module provides a simple interface for interacting with AI conversation APIs, including GPT-4 and others. Easily integrate advanced NLP capabilities into your apps for chatbot development, conversational AI, and intelligent dialogue systems. Supports multiple AI models for flexibility and customization.

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Muhammadali-Akbarov/ai-conversation-api-client

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AI-Based Conversation API Client

This Python module provides a powerful and flexible interface for interacting with an AI-based conversation API. It enables users to seamlessly send prompts and receive intelligent responses from a specified API endpoint, with robust support for both full and chunked responses.

Key Features

  • Easy-to-use interface for sending prompts and receiving AI-generated responses
  • Support for both full and chunked response modes for real-time interaction
  • Customizable API client and response parser for flexibility
  • Configurable options for AI model selection and parameters

Installation

To install the AI-Based Conversation API Client, follow these steps:

  1. Clone the repository or download the source code:

    git clone https://github.com/Muhammadali-Akbarov/ai-conversation-api-client.git
    

    or download and extract the ZIP file from the repository's main page.

  2. Navigate to the project directory:

    cd ai-conversation-api-client
    
  3. Run the installation script:

    ./install.sh
    

After running the installation script, your environment will be fully set up and ready to use the AI-Based Conversation API Client.

Usage Example

Here's a simple example of how to use the AI-Based Conversation API Client:

from typing import Generator

from conversation.client import ConversationAPI

api = ConversationAPI()
PROMPT = "Gimme ten programming languages name."

result = api.enter_prompt(prompt=PROMPT, chunked=False)

if isinstance(result, Generator):
    for chunk in result:
        print(chunk, end='', flush=True)

else:
    print(result)

Result

Sure! Here are ten programming languages:

1. Python
2. Java
3. JavaScript
4. C++
5. C#
6. Ruby
7. PHP
8. Swift
9. Go
10. Rust

Let me know if you need more information about any of these languages!

About

This module provides a simple interface for interacting with AI conversation APIs, including GPT-4 and others. Easily integrate advanced NLP capabilities into your apps for chatbot development, conversational AI, and intelligent dialogue systems. Supports multiple AI models for flexibility and customization.

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