roka 0.1.0

Lightning-fast toolkit for hackathon dominance.

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.