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| [ | |
| "Traceback (most recent call last):", | |
| " File \"/home/ubuntu/miniconda3/lib/python3.10/site-packages/urllib3/connectionpool.py\", line 703, in urlopen", | |
| " httplib_response = self._make_request(", | |
| " File \"/home/ubuntu/miniconda3/lib/python3.10/site-packages/urllib3/connectionpool.py\", line 398, in _make_request", | |
| " conn.request(method, url, **httplib_request_kw)", | |
| " File \"/home/ubuntu/miniconda3/lib/python3.10/site-packages/urllib3/connection.py\", line 239, in request", | |
| " super(HTTPConnection, self).request(method, url, body=body, headers=headers)", | |
| " File \"/home/ubuntu/miniconda3/lib/python3.10/http/client.py\", line 1282, in request", | |
| " self._send_request(method, url, body, headers, encode_chunked)", |
cschin
/ diffusion.ipynb
Created
January 17, 2024 04:00
A toy model showing how diffusion model works
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| import gradio as gr | |
| import numpy as np | |
| import wave | |
| def response(): | |
| def streaming(): | |
| f = wave.open("sound.wav", 'rb') | |
| buffer = f.readframes(f.getnframes()) | |
| data = np.frombuffer(buffer, dtype=f'int{f.getsampwidth()*8}') | |
| chunks = [] |
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