DataChazGPT (not a bot) Profile picture
Jul 26, 2021 β€’ 10 tweets β€’ 7 min read β€’ Read on X
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

Sep 5, 2023
I'm SO excited about our @Streamlit #LLM Hackathon kicking off today! πŸŽˆπŸš€

Build an innovative LLM app, and get ace prizes from our amazing partners:

- @LangChainAI
- @AssemblyAI
- @Weaviate_io
- @Llama_Index
- @ClarifAI

πŸ”— Join:

More below πŸ§΅β†“ streamlit.io/community/llm-…

πŸ’‘ Rules:

Build an innovative #LLM-based @Streamlit app that incorporates at least one of the following LLM technologies:

- @LangChainAI
- @AssemblyAI
- @Weaviate_io
- @Llama_Index
- @ClarifAI

- There are 5 β€œMost Innovative Use” prize categories, one for each partner listed above.
- In each category, there will be two lucky app winners.
You can submit your app alone, or as a team of two.
- Winners will be announced by October 5.
Image
πŸ§‘β€βš–οΈ Judging:

- Inventive: Your app offers unique features not present in other @Streamlit apps.
- Error-Free: No errors detected during app testing.
- Public GitHub Repo:
Your app’s source code is publicβ€”using secrets management to protect your API keys and credentials.
- Hosted on Community Cloud: Your app must be publicly accessible on Streamlit's Community Cloud.
- Tools Used: Incorporates at least one partner such as LangChain, LlamaIndex, Weaviate, AssemblyAI, or Clarifai.
- LLM Pain Points: Bonus for addressing LLM challenges like transparency, trust, accuracy, privacy, cost-efficiency, or ethics.
Image
Read 11 tweets
Jul 25, 2023
Want to try out @Meta's latest open-sourced #AI chatbot, #Llama2?

Here are three (FREE!) ways to do it! πŸ§΅β†“ Image
@perplexity_ai 2 - via @huggingface! πŸ€—

Read 6 tweets
Jul 20, 2023
Amazing new #SpeechRecognition release by @AssemblyAI! πŸ”₯

Their new #Conformer2 model, trained on a vast 1.1M hours of audio data, is here, marking a 170% increase in training compared to its predecessor!

Let's dive in!

πŸ§΅β†“

1/6
.@AssemblyAI's versatile new algo handles a huge range of speech recognition tasks:

βœ”οΈ Transcription
βœ”οΈ Summarization
βœ”οΈ Topic detection
βœ”οΈ Content moderation
βœ”οΈ Sentiment analysis
βœ”οΈ Entity detection & more!

A real Swiss army knife for efficient audio & text processing!

2/6 Image
Built on a scaled-up version of Google Brain's Conformer architecture, #Conformer2 takes cues from the scaling laws discovered by @GoogleDeepMind! 🧠

This larger training data set aims for greater accuracy in transcriptions, even for challenging audio data!

3/6 Image
Read 7 tweets
Jun 28, 2023
You've been waiting for it, and now the Chat is out of the bag! πŸŽ‰

Starting today you can build your own #AI-powered chatbots with @Streamlit's stunning new chat UI!

Everything is programmable: input, output, everything.

More details and tutorials πŸ§΅β†“

#SnowflakeSummit2023 https://t.co/7dQ3YCmFJ6twitter.com/i/web/status/1…
There are two elements to our new () widget.

chat_message and chat_input

First, chat_message inserts a chat message container:

πš πš’πšπš‘ 𝚜𝚝.πšŒπš‘πšŠπš_πš–πšŽπšœπšœπšŠπšπšŽ("πšžπšœπšŽπš›"):
𝚜𝚝.πš πš›πš’πšπšŽ("π™·πšŽπš•πš•πš˜ πŸ‘‹")

Check our docs: https://t.co/hPwPPMAhq0 https://t.co/UYQsDwRrxe https://t.co/qcAUieiSJost.chat
docs.streamlit.io/library/api-re…
twitter.com/i/web/status/1…
The second element, chat_input, displays a customisable chat input widget.

- Demo:

- Check our docs: https://t.co/ffkgjauwBU https://t.co/PXkpYm7P3P https://t.co/QJMcLQVnbjdoc-chat-input.streamlit.app/?utm_medium=oe…
docs.streamlit.io/library/api-re…
twitter.com/i/web/status/1…
Read 7 tweets
Jun 26, 2023
.@Fanilo reacts to the most popular @Streamlit LLM apps! 🎈

Listing all the apps in the πŸ§΅β†“

#1 KnowledgeGPT:

Allows you to upload a document and receive answers to questions you ask about it, including references to the source!

knowledgegpt.streamlit.app
#2 SEO ChatBot

A cool @Streamlit LLM app, trained on SEO-related corpora, that answers questions related to SEO.

seo-chat-bot.streamlit.app
Read 10 tweets
Jun 23, 2023
Take your dataframes to the next level with column configuration! πŸ”₯

With our latest release (@Streamlit 1.23.0), you can now customize all columns in your dataframes to add images, hyperlinks, sparklines, and more! 🎈

Well done @lukasmasuch, @jrieke and team!

Links below ↓
Here's the demo app:
column-config.streamlit.app
Read 4 tweets

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