Instructions to use Subject-Emu-5259/NeuralAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Subject-Emu-5259/NeuralAI with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
| import requests | |
| from requests.auth import HTTPBasicAuth | |
| import os | |
| class NeuralCloudClient: | |
| def __init__(self, base_url="http://localhost:8002/remote.php/dav/files/admin", user="admin", password="NeuralAI_Admin_2026!"): | |
| self.base_url = base_url.rstrip('/') | |
| self.auth = HTTPBasicAuth(user, password) | |
| def _get_url(self, path): | |
| return f"{self.base_url}/{path.lstrip('/')}" | |
| def list_files(self, path=""): | |
| url = self._get_url(path) | |
| headers = {'Depth': '1'} | |
| response = requests.request('PROPFIND', url, auth=self.auth, headers=headers) | |
| if response.status_code == 207: | |
| # Simple XML parsing would be better, but let's keep it minimal for now | |
| return response.text | |
| response.raise_for_status() | |
| def upload_file(self, local_path, remote_path): | |
| url = self._get_url(remote_path) | |
| with open(local_path, 'rb') as f: | |
| response = requests.put(url, auth=self.auth, data=f) | |
| response.raise_for_status() | |
| return response.status_code | |
| def download_file(self, remote_path, local_path): | |
| url = self._get_url(remote_path) | |
| response = requests.get(url, auth=self.auth, stream=True) | |
| response.raise_for_status() | |
| with open(local_path, 'wb') as f: | |
| for chunk in response.iter_content(chunk_size=8192): | |
| f.write(chunk) | |
| return local_path | |
| def delete_file(self, remote_path): | |
| url = self._get_url(remote_path) | |
| response = requests.delete(url, auth=self.auth) | |
| response.raise_for_status() | |
| return response.status_code | |
| def mkdir(self, remote_path): | |
| url = self._get_url(remote_path) | |
| response = requests.request('MKCOL', url, auth=self.auth) | |
| if response.status_code == 405: # Already exists | |
| return 201 | |
| response.raise_for_status() | |
| return response.status_code | |
| if __name__ == "__main__": | |
| client = NeuralCloudClient() | |
| print("Testing NeuralCloudClient...") | |
| try: | |
| # Create a test directory | |
| client.mkdir("NeuralAI_Vault") | |
| # Upload a test file | |
| test_file = "/tmp/cloud_test.txt" | |
| with open(test_file, "w") as f: | |
| f.write("NeuralAI Cloud Storage Test") | |
| client.upload_file(test_file, "NeuralAI_Vault/test.txt") | |
| print("Upload successful!") | |
| # List files | |
| print("Remote files:") | |
| print(client.list_files("NeuralAI_Vault")) | |
| except Exception as e: | |
| print(f"Error: {e}") | |