Instructions to use Ananthusajeev190/Dream_viewer_venomoussai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use Ananthusajeev190/Dream_viewer_venomoussai with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("fill-in-model-name") model.load_adapter("Ananthusajeev190/Dream_viewer_venomoussai", set_active=True) - Notebooks
- Google Colab
- Kaggle
| import os | |
| import json | |
| import csv | |
| import nbformat | |
| from docx import Document | |
| from PyPDF2 import PdfReader | |
| def read_file(filepath): | |
| ext = filepath.lower().split('.')[-1] | |
| try: | |
| if ext == 'txt': | |
| with open(filepath, 'r', encoding='utf-8') as f: | |
| return f.read() | |
| elif ext == 'json': | |
| with open(filepath, 'r', encoding='utf-8') as f: | |
| return json.dumps(json.load(f), indent=2) | |
| elif ext == 'csv': | |
| with open(filepath, 'r', encoding='utf-8') as f: | |
| return f.read() | |
| elif ext == 'pdf': | |
| reader = PdfReader(filepath) | |
| return "\n".join([page.extract_text() or '' for page in reader.pages]) | |
| elif ext == 'docx': | |
| doc = Document(filepath) | |
| return "\n".join([para.text for para in doc.paragraphs]) | |
| elif ext == 'ipynb': | |
| with open(filepath, 'r', encoding='utf-8') as f: | |
| nb = nbformat.read(f, as_version=4) | |
| cells = [cell['source'] for cell in nb.cells if cell['cell_type'] == 'code'] | |
| return "\n\n".join(cells) | |
| else: | |
| return "Unsupported file type: " + ext | |
| except Exception as e: | |
| return f"β Error reading file: {e}" | |
| def list_files(): | |
| files = [f for f in os.listdir('.') if os.path.isfile(f)] | |
| return "\n".join(files) if files else "No files found." | |
| def mini_file_ai(): | |
| print("π€ MiniAI FileBot: Type 'list' to view files, 'read filename.ext', or 'bye' to exit.") | |
| while True: | |
| user_input = input("You: ").strip() | |
| if user_input.lower() == 'bye': | |
| print("MiniAI: Goodbye! π") | |
| break | |
| elif user_input.lower() == 'list': | |
| print("π Files in current folder:\n" + list_files()) | |
| elif user_input.lower().startswith('read '): | |
| filename = user_input[5:].strip() | |
| if os.path.exists(filename): | |
| content = read_file(filename) | |
| print(f"\nπ Content of {filename}:\n") | |
| print(content[:3000]) # Limit to 3000 chars | |
| else: | |
| print("β File not found.") | |
| else: | |
| print("MiniAI: I can only 'list', 'read filename', or 'bye'.") | |
| # Run the AI | |
| if __name__ == "__main__": | |
| mini_file_ai() |