Avoid Using Streamlit in Production 🚫

You might be thinking to consider getting your AI application to the next level and you want to run a business on top of it but you're not sure how to expose the model with your user?

Please watch this video. I give 4 reasons why Streamlit is not a good choice for your applications especially if you intend to inter act with large population of users.

Important things to consider:
- Custom Styling and simply enabled CSS
- Handling running sessions and multi threading capability (watch the video to learn more)
- Community Support for Developers
- Seamless integration with APIs and backend services

Watch my series on learning about Langchain Chain types:
https://youtu.be/y1Q8FgyGytY

- API CHAIN | https://www.youtube.com/watch?v=IpLJwDfxiVA
- CONSTITUTIONAL CHAIN | https://youtu.be/R9t82CWpVB0
- RAG CHAIN | https://youtu.be/zI8vHrZ44MY
- CHECKER CHAIN | https://youtu.be/4uPOKXJCXM4
- ROUTER CHAIN | https://youtu.be/ItppCNZBzbY
- SEQUENTIAL CHAIN | https://youtu.be/BtMpyw11V5w

Watch my video on building ChatGPT with local LLMs using Streamlit:
https://youtu.be/mGpXF0-Zzyw

Link to Fanilo's video on Streamlit's limitations:
https://www.youtube.com/watch?v=QiiwEAz6BVY

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#langchain #ai #llm #python #conversation #chain #chatgpt #chatbot #openai #education #coding #artificialintelligence #machinelearning #fullstack #backend #largelanguagemodels #nlp #naturallanguageprocessing #streamlit #production
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Chapters:
0:00 What is Streamlit?
1:04 Modern Web Apps
1:48 Streamlit's limits for business facing apps
2:42 1- Customized CSS Styling
3:04 2- Handle Multiple Threading
4:52 3- Small Size Community
5:14 4- Lack of Seamless Integration with Backend
5:39 Conclusion