Charly Wargnier Profile picture
Jul 26, 2021 10 tweets 7 min read Read on X
🥁 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
📬Post bit.ly/3kUz59O

#SEO

↓🧵 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! 🤗

2/10 Image
Once a URL is crawled, you can check its scraped content in the toggleable section (see below👇)

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!😉

3/10 Image
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 👇

4/10
Final step!

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

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

5/10 Image
Many cool content & #SEO use cases! 🔥

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

6/10
🧰 The stack is 100% #Python! 🐍🔥

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

7/10 Image
🛠️ Still To-Do’s:

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

Kudos to @huggingFaces and @Streamit DevOps for their support so far! 🙌

8/10
📂 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! 🙌

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 ☕ to support my work if it's useful to you!
▶️ buymeacoffee.com/cwar05

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

10/10 Image

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More from @DataChaz

May 8
Wild.

With OpenAI’s new Image API, we’ve entered a new era where AI writes *and* designs your posts! 🤯

Nate Herkelman used it to turn @n8n_io into a full content + design studio:

↳ reads your post
↳ builds aligned visuals
↳ designs charts + graphics!

Full demo in 🧵 ↓
Nate just dropped the full @n8n_io demo on YouTube:


Definitely worth watching if you're a content creator!
ICYMI Nate built a full-on marketing agent in @n8n_io!

It generates images, grabs assets, writes posts, and logs every step!

Read 7 tweets
May 6
Mind-blowing.

Nate Herkelman uses AI systems in @n8n_io to automate product videography from raw photos! 🤯

His process:
↳ upload poorly lit photos
↳ enhance + auto-generate studio videos
↳ smart prompting tricks
↳ ace marketing assets in minutes!

27-min demo in 🧵 ↓
Nate just dropped the full @n8n_io demo on YouTube:


If you want to automate product videography, this is definitely worth a watch!
ICYMI: Nate built a full-on marketing agent in @n8n_io!

It generates images, grabs assets, writes posts, and logs every step. Wild stuff.

Read 6 tweets
May 4
This is next level.

Nate Herkelman uses @n8n_io to bring full observability to AI agents! 🤯

His setup:
↳ logs all agents’ actions
↳ tracks models + token usage
↳ monitors costs
↳ records I/O + errors

Full 9-minute walkthrough in 🧵 ↓
Nate just dropped the full @n8n_io demo on YouTube - super useful if you’re building AI agents!
youtube.com/watch?v=vVdS-Z…
youtube.com/watch?v=vVdS-Z…
And ICYMI, Nate also built a full-on marketing agent in @n8n_io.

It generates images, grabs assets, writes posts, and logs every step! 🤯

Read 5 tweets
Apr 22
In case you missed it, 5 new AI agent guides dropped last week from Anthropic, OpenAI, McKinsey and Google.

Most are on point and practical, one raised eyebrows… but if you’re deep into agents and LLMs, they’re all worth a look.

🧵↓
1/

Anthropic dropped a practical blueprint for building agentic workflows with Claude:

2/

OpenAI’s 34-page, great practical guide to building agents end to end:

Read 7 tweets
Mar 28
My new favorite way to visualize any codebase! 🤯


link to repo 🧵↓ gitdiagram.com
I can’t believe @ahmedkhaleel04 built this in just 7 days in @cursor_ai... it's already over 100k users and almost 3K ⭐️ on @Github!

github.com/ahmedkhaleel20…
I love seeing my beloved @streamlit featured on the homepage! 🤗🎈 Image
Read 4 tweets
Feb 19
Europe is back in the AI race.

Last week, London-based @Convergence_ai_ turned heads by crushing @OpenAI’s Operator.

Today, they’re back with something even bigger: Proxy 1.0 - one of the most powerful web-based AI agents out there!



Let’s dive in! 🧵↓ proxy.convergence.ai
Quick reminder that funding isn’t everything.

@OpenAI raised $18 billion.

@Convergence_ai_? Just $12 million! That’s 0.067% of OpenAI’s budget.

And yet, Proxy is faster, smarter, fully autonomous.



2/tech.eu/2024/09/27/con…
I got to be part of the beta, where we pushed Proxy through 100K+ real-world tasks.

The main complaints we had:

❌ Slow load times
❌ Doesn’t fully complete open-ended tasks
❌ Failures when faced with website roadblocks

Proxy 1.0 tackles all of these issues head-on!

3/
Read 12 tweets

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