Transformers
English
Hindi
Sanskrit
sovereign-ai
ecological-intelligence
indian-llm
environmental-protection
Instructions to use iamkoder001/ARAVALLI-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iamkoder001/ARAVALLI-1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("iamkoder001/ARAVALLI-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| import os | |
| import requests | |
| from bs4 import BeautifulSoup | |
| import time | |
| from urllib.parse import urljoin | |
| class SovereignScraper: | |
| """ | |
| Ingestion engine for ARAVALLI-1. | |
| Focus: Indian Gazettes, Environmental Reports, and Global Satellite Metadata. | |
| """ | |
| def __init__(self, base_url, storage_path="data/raw/"): | |
| self.base_url = base_url | |
| self.storage_path = storage_path | |
| if not os.path.exists(self.storage_path): | |
| os.makedirs(self.storage_path) | |
| def crawl_and_download(self, file_ext=".pdf"): | |
| """Crawls the index page and downloads relevant files for training.""" | |
| print(f"Initiating Sovereign Ingestion from: {self.base_url}") | |
| try: | |
| response = requests.get(self.base_url, timeout=15) | |
| soup = BeautifulSoup(response.text, 'html.parser') | |
| # Identify links to documents (Gazettes/Reports) | |
| links = soup.find_all('a', href=True) | |
| for link in links: | |
| href = link['href'] | |
| if href.endswith(file_ext): | |
| download_url = urljoin(self.base_url, href) | |
| file_name = href.split('/')[-1] | |
| self._save_file(download_url, file_name) | |
| # Respectful delay to prevent server overload | |
| time.sleep(1) | |
| except Exception as e: | |
| print(f"Ingestion Breach: {e}") | |
| def _save_file(self, url, name): | |
| """Saves the raw data to the sovereign vault.""" | |
| path = os.path.join(self.storage_path, name) | |
| if os.path.exists(path): | |
| return # Skip if already ingested | |
| print(f"Ingesting: {name}") | |
| r = requests.get(url, stream=True) | |
| with open(path, 'wb') as f: | |
| for chunk in r.iter_content(chunk_size=8192): | |
| f.write(chunk) | |
| if __name__ == "__main__": | |
| # Example Target: The Gazette of India (Archive Node) | |
| # Note: Use specific URLs for Environmental Impact Assessments | |
| scraper = SovereignScraper("https://egazette.gov.in/") | |
| scraper.crawl_and_download() | |