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vlt Launches "reproduce": A New Tool Challenging the Limits of Package Provenance
vlt's new "reproduce" tool verifies npm packages against their source code, outperforming traditional provenance adoption in the JavaScript ecosystem.
fasteryoutubesummary
Advanced tools
Faster YouTube Summary is a tool designed to quickly generate detailed summaries of YouTube videos using Groq API
Faster YouTube Summary is a powerful tool designed to quickly generate detailed summaries of YouTube videos using the Groq API. This tool can deliver a comprehensive summary of a YouTube video in just 2 seconds (provided the video has native captions).
To install the necessary dependencies, run the following command:
pip install fasteryoutubesummary
Faster YouTube Summary leverages the Groq API to provide fast and accurate responses from large language models (LLMs). To use this tool, you'll need a Groq API key.
Obtain your API key from the Groq Console:
Get your Groq API key
Once you have your API key, set it as an environment variable:
export FYS_GROQ="YOUR_API_KEY"
Command Prompt:
set FYS_GROQ="YOUR_API_KEY"
PowerShell:
$env:FYS_GROQ="YOUR_API_KEY"
After setting up, you can use Faster YouTube Summary in your Python project with the following code:
from fasteryoutubesummary import get_video_summary
import os
url = input("Enter the URL of the YouTube video: ")
api_key = os.environ.get("FYS_GROQ")
summary = get_video_summary(url, api_key, return_summary_only=False)
print(summary)
return_summary_only
: If True
, returns only the summary text (default: True
). If False
, it generates a website summary.To receive the summary as plain text only:
from fasteryoutubesummary import get_video_summary
import os
url = input("Enter the URL of the YouTube video: ")
api_key = os.environ.get("FYS_GROQ")
summary = get_video_summary(url, api_key, return_summary_only=True)
print(summary)
You can also generate YouTube summaries directly from the command line using the fys command after installing the package.
fys https://www.youtube.com/watch?v=VIDEO_ID
This will generate a text summary of the specified YouTube video.
fys [URL] [OPTIONS]
URL
: The YouTube video URL (required).-f
, --faster
: Enables faster mode (FASTER
), prioritizing speed over accuracy.-w
, --website
: Generates a website summary instead of plain text.-l
, --language [LANGUAGE]
: Sets the output language. Supported languages: ENGLISH
, SPANISH
, GERMAN
, FRENCH
, ITALIAN
, JAPANESE
.fys https://www.youtube.com/watch?v=o-2ybJPgtjA
fys https://www.youtube.com/watch?v=o-2ybJPgtjA --f
fys https://www.youtube.com/watch?v=o-2ybJPgtjA --w
fys https://www.youtube.com/watch?v=o-2ybJPgtjA --language JAPANESE
fys https://www.youtube.com/watch?v=o-2ybJPgtjA --f --w --language JAPANESE
Thanks to the Groq API, Faster YouTube Summary supports multiple languages. To generate a summary in a different language, use the language
parameter:
from fasteryoutubesummary import get_video_summary
import os
url = input("Enter the URL of the YouTube video: ")
api_key = os.environ.get("FYS_GROQ")
summary = get_video_summary(url, api_key, language='JAPANESE', return_summary_only=True)
print(summary)
Language | Language Code |
---|---|
English | ENGLISH |
Spanish | SPANISH |
German | GERMAN |
French | FRENCH |
Italian | ITALIAN |
Japanese | JAPANESE |
Although the default model is optimized for accuracy, Faster YouTube Summary provides an optional FASTER mode for speed optimization:
fys https://www.youtube.com/watch?v=o-2ybJPgtjA --f
In this mode, summaries are generated faster, though with slightly reduced accuracy.
Faster YouTube Summary is licensed under the MIT License. See the LICENSE file for more details.
Contributions are welcome! If you'd like to improve this package, feel free to submit a pull request or open an issue on GitHub.
For any questions or support, feel free to reach out via email.
FAQs
Faster YouTube Summary is a tool designed to quickly generate detailed summaries of YouTube videos using Groq API
We found that fasteryoutubesummary demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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