Metadata-Version: 2.1
Name: Helpingai_T2-fork
Version: 0.3.1
Summary: A simple module to use Perplexity AI in Python.
Home-page: https://github.com/HelpingAI/Helpingai_T2.git
Author: OEvortex
License: GPLv3
Project-URL: Source, https://github.com/HelpingAI/Helpingai_T2.git
Keywords: artificial-intelligence,perplexityai,perplexity,python,api,ai
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: GNU General Public License v2 (GPLv2)
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: requests
Requires-Dist: websocket-client

# Helpingai_T2

Helpingai_T2 is a Python module that allows you to interact with the Perplexity AI. It's simple to use and can be easily integrated into your Python projects.

## Installation

You can install Helpingai_T2 using pip. Run the following command in your terminal:

```bash
python -m pip install -U Helpingai-T2
```

Join our [Discord server](https://discord.gg/3fJENZMzqY) for live chat, support, or if you have any issues with this package.

## Support this repository:
- ⭐ **Star the project:** Star this repository. It means a lot to us! 💕
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## Usage

Here are some examples of how you can use the Helpingai_T2 module in your code:

### Single Prompt Example

This example takes a single input from the user and generates a response using the Perplexity AI.

```python
from Helpingai_T2 import Perplexity

# Get a prompt from the user
prompt = input("👦: ")

# Generate a response using the Perplexity AI
for a in Perplexity().generate_answer(prompt):
    print(f"🤖: {a['answer']}")
```

### Continuous Conversation Example

This example continuously takes input from the user and generates responses, creating an ongoing conversation with the Perplexity AI.

```python
from Helpingai_T2 import Perplexity

# Start a continuous conversation with the user
while True:
    # Get a prompt from the user
    prompt = input("👦: ")

    # Generate a response using the Perplexity AI
    for a in Perplexity().generate_answer(prompt):
        print(f"🤖: {a['answer']}")
```

