import ssl
ssl._create_default_https_context = ssl._create_unverified_context
- To get AutoFocus channel
- Go to Securly website and follow the instructions
- Securly should give a code friendly URL to the channel
For AutoFocus, this was the result: "https://www.youtube.com/channel/UC2J-0g_nxlwcD9JBK1eTleQ/"
When both conda and miniforge are installed, depending on what PATH variable is set to, the command 'conda' refers to one of the two installations.
![Screenshot 2024-02-19 at 9 19 40 PM](https://private-user-images.githubusercontent.com/7885339/306142846-a295db66-db4e-4276-9dac-9ae8c2a6938e.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.pxhXkUQQGcOealhIYntsI7n8mkla73shOgeznP-x62s)
In this above case, the command to activate the environment 'ds' failed.
To avoid this, you can activate the 'ds' environment by being more clear about the source.
Steps:
# Mount Google Drive to a Colab notebook
from google.colab import drive
drive.mount('/content/drive')
# Read and copy Key from the openai_api_key file
with open('/content/drive/My Drive/path_to_directory_containing_txt_file/openai_api_key.txt', 'r') as file:
openai_api_key = file.read().strip()
This episode of Recsperts was transcribed with Whisper from OpenAI, an open-source neural net trained on almost 700 hours of audio. The model includes an encoder-decoder architecture by tokenizing audio into 30-second chunks, normalizing audio samples to the log-Mel scale, and passing the data into an encoder. A decoder is trained to predict the captioned text matching the encoder, and the model includes transcription, as well as timestamp-aligned transcription, and multilingual translation.
The transcription process outputs a single string file, so it's up to the end-user to parse out individual speakers, or run the model [through a sec
pymsteams is an open source library to securely send content into a Teams Channel using webhooks. It's versatile, and can be combined with other libraries like tabulate to send dataframes as a connector card.
import pymsteams
def get_current_and_previous_values():
# write the code to fetch the two values from your upstream process