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September 5-19, 2023
LLM Hackathon
Submissions are now closed. Thank you for participating!
Streamlit has become the go-to platform for creating LLM-based apps. With over 12,000 (and growing!) apps, this community is creating new possibilities with large language models. Let’s push the envelope!
Build with leaders in LLM technology
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About the hackathon
Build an innovative LLM-based Streamlit app that incorporates at least one of the following LLM technologies:
- LangChain
- AssemblyAI
- Weaviate
- LlamaIndex
- Clarifai
There are five “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 new features not found in other Streamlit apps. The more unique, the better.
Error-Free
Your app doesn’t produce any errors during testing.
Public GitHub Repository
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
Your app uses at least one partner: LangChain, LlamaIndex, Weaviate, AssemblyAI, or Clarifai.
LLM Pain Points
You’ll get bonus points if your app addresses common LLM pain points like transparency, trust, accuracy, privacy, cost reduction, or ethics.
So. Many. Prizes.
Two winning apps in each “Most Innovative Use” category will win special swag from our partners.
The first 250 apps will receive a pair of Streamlit socks!
Sweatshirt from Langchain
Apple Airpods (3rd gen) from LlamaIndex
Premium Yeti Microphone from AssemblyAI
Keydous NJ80 wireless keyboard from Weaviate
$170 credits + swag pack from Clarifiai
All winners get a Streamlit backpack
Resources to get started
How to use Streamlit chat elements](https://www.youtube.com/watch?v=4sPnOqeUDmk)
Build a chatbot with custom data sources, powered by LlamaIndex](https://blog.streamlit.io/build-a-chatbot-with-custom-data-sources-powered-by-llamaindex/)
LangChain tutorial #1: Build an LLM-powered app in 18 lines of code](https://blog.streamlit.io/langchain-tutorial-1-build-an-llm-powered-app-in-18-lines-of-code/)
Add speech recognition to your Streamlit apps in 5 minutes](https://www.youtube.com/watch?v=-9J4FZq0t2k)
Explore models through Clarifai's portal](https://www.youtube.com/watch?v=7atDWbJB-Lk)
Build a model explorer app with Streamlit and Clarifai](https://www.clarifai.com/blog/easily-create-a-variety-of-llm-apps-with-streamlit-and-clarifai)
Read all LLM app tutorials from the blog](https://blog.streamlit.io/tag/llms/)
Apps built by the community](/content/gallery?category=llms/index.html)
Check out example LLM apps
Build a chatbot
Weaviate: Magic Chat
Langchain: Chat with search
LlamaIndex: Using custom data sources
AssemblyAI: Analyze video channels automatically
Clarifai: Interact with models via chatbots
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Thank you for participating!
Submissions are now closed.