πŸ₯ New @streamlit app! 🎈

WTFaq leverages the power of @huggingface Transformers & @Google T5 to generate quality question & answer pairs from URLs!

Select your best Q&As on the fly & export them to CSV!

🎲App bit.ly/3zzS4us
πŸ“¬Post bit.ly/3kUz59O

#SEO

β†“πŸ§΅ Image
First things first, pick a URL!

The app will crawl the URL's content & retrieve it back in the app.

Server side only for now. I'm planning to add the ability to crawl client-side rendered URLs soon, stay tuned! πŸ€—

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Once a URL is crawled, you can check its scraped content in the toggleable section (see belowπŸ‘‡)

As we're still in beta and want to monitor memory spikes closely, built Q&A pairs are based on the first thousand scraped characters only.

We will increase that limit soon!πŸ˜‰

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Wait a few seconds for the results to be populated.

Results will be displayed in a matrix of 5 to 20 question & answers pairs.

You can select your favourite Q&A pairs on the fly simply by ticking them, as shown on the video below πŸ‘‡

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Final step!

Your selected Q&A pairs will be displayed in the bottom table.

If you wish to download them, click that download button - VoilΓ !

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Many cool content & #SEO use cases! πŸ”₯

βœ“ Use it for content generation purposes
βœ“ Map-out Q&A pairs with your product, service or brand
βœ“ Research any topic and get Q&A pairs from that seed topic
βœ“ Differentiate your pages!

6/10
🧰 The stack is 100% #Python! 🐍πŸ”₯

βœ“ Web framework: @streamlit! 🎈
βœ“ Scraping tasks: Requests
βœ“ @Google T5 via @huggingface Pipelines - huggingface.co/transformers/m…
βœ“ Not to forget @thiago's mighty Component for coloured labels! github.com/tvst/st-annota… πŸ™Œ

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πŸ› οΈ Still To-Do’s:

βœ“ Optimise code to increase speed ⚑
βœ“ Increase RAM capacity to mitigate bumps and allow for more content to be analysed
βœ“ Provide additional Q&A algorithms

Kudos to @huggingFaces and @Streamit DevOps for their support so far! πŸ™Œ

8/10
πŸ“‚ About open-sourcing the code:

That code currently lies in a private repo. I should be able to make it public soon for you to re-use it in your own apps and creations!

Keep your eyes peeled! πŸ™Œ

9/10
WTFaq is still in beta, head-off to my Gitter page for bug reports, Qs or suggestions:
▢️ gitter.im/DataChaz/what-…

This app is free! You can buy me a β˜• to support my work if it's useful to you!
▢️ buymeacoffee.com/cwar05

🎲 Check my other apps! charlywargnier.com/my-public-web-…

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More from @DataChaz

14 Apr
Alrighty then! Here's StreamProphet in ΓΌber early Beta! πŸ€—

- Connect to GSC
- Visualise forecasted #SEO traffic + time series' trends & seasonality
- Export predictions to CSV + models to JSON! πŸ”₯

🎲 App: bit.ly/3a6oliw
πŸ“¬Post: bit.ly/3sfSoKT

@streamlit

πŸ§΅β†“
πŸš€ How to get started!

- Click the 'sign-in w/ Google' button to reach the consent screen
- Copy the Oauth token & paste it back in the app
- Type the web property you want to review
- Define your forecast horizon
- Press the 'Fetch GSC data & get predictions' button! πŸ”₯

2/8 ↓
πŸ“ˆ Checking predictions

- You can visualise past data & predictions in the right-hand side chart
- Left charts show the decomposed trend, weekly & yearly seasonality (when avail.) of the time series
- You can export predictions via CSV + your forecast model via JSON πŸ€—

3/8 ↓
Read 9 tweets
19 Feb
Introducing Wiki Topic Grapher! πŸ‘ΎπŸπŸ”₯

Leverage the power of Google #NLP to retrieve entity relationships from Wikipedia URLs or topics!

+ Get interactive graphs of connected entities
+ Export results w/ ent. types+salience to CSV!

▢️share.streamlit.io/charlywargnier…

h/t @Streamlit 🧡
Many cool #SEO use cases! πŸ”₯

+ Research any topic then get entity associations that exist from that seed topic
+ Map out related entities with your product, service or brand
+ Find how well you've covered a specific topic on your website
+ Differentiate your pages!

2/8
About the stack, it's 100% #Python! 🐍πŸ”₯

+ @GCPcloud Natural Language API
+ PyWikibot
+ Networkx
+ PyVis
+ @Streamlit
+ Streamlit Components -> streamlit.io/components

3/8
Read 9 tweets

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