✓ 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!
✓ 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
- There are 5 “Most 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.
🧑⚖️ 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 public—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.