Metadata-Version: 2.4
Name: roka
Version: 0.1.0
Summary: Lightning-fast toolkit for hackathon dominance.
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: fastapi
Requires-Dist: uvicorn
Requires-Dist: httpx
Requires-Dist: parsel
Requires-Dist: scikit-learn
Requires-Dist: torch

# ROKA: The Hackathon Accelerator

ROKA is a high-speed Python library built to eliminate boilerplate code. It handles APIs, scraping, and ML architecture so you can focus on building your core product during high-pressure development sessions.

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## Installation

Install via pip:

bash
pip install roka


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## Core Features

* **Zero-Config Scraping:** Extract clean data and metadata from any URL instantly.
* **Instant ML Wrappers:** One-line deployments for sentiment analysis, OCR, and summarization.
* **Streamlined API Connectors:** Pre-configured interfaces for OpenAI, Firebase, and Twilio.
* **Lightweight Design:** Minimal dependencies to ensure fast deployment and environment stability.

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## Usage Examples

### 1. Web Scraping
Extract headlines and main content without manual parsing.

python
from roka import Scraper

data = Scraper.quick_get("https://example-news-site.com")
print(data.headlines)
print(data.main_content)


### 2. Sentiment Analysis
Deploy a model for immediate text processing.

python
from roka.ml import QuickAnalyze

result = QuickAnalyze.sentiment("This project is moving fast.")
# Output: {'label': 'POSITIVE', 'score': 0.99}


### 3. OpenAI Integration
Simplified setup for LLM features.

python
from roka.connect import OpenAI

ai = OpenAI(api_key="your_key")
response = ai.ask("Provide a concept for a hackathon project.")


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## Efficiency Gains

| Task | Traditional Method | With ROKA |
| :--- | :--- | :--- |
| API Setup | 20 Minutes | 2 Minutes |
| Data Scraping | 1 Hour+ | 5 Minutes |
| ML Implementation | 30 Minutes | 1 Line |

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## Contributing

To contribute a new utility or feature:
1. Fork the repository.
2. Create a feature branch.
3. Submit a Pull Request with a description of the utility added.

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## License

Distributed under the MIT License.
