Thanks for the kind words! I am glad you enjoyed it. ♥

Happy to hear that you enjoyed this one too! Thanks for the comment! 🙏

Glad I could help! Thanks for watching and for the kind words. Cheers, Sven ✌️

Thanks for watching. Yes, unfortunately there is no free lunch in life :(

@@CodingIsFun 🙂

Thanks for watching. Here you are: kzfaq.info/get/bejne/arl_ZqaGvLa9lmQ.html

My pleasure! Appreciate you taking the time to watch and leave a comment. 👍

Glad you liked it. Thanks for watching and taking the time to leave a comment!

Glad to hear you liked it! Thank you for commenting and watching.

Thank you ❤️

Thanks for watching. Glad you liked it. For that video, I used "Atom"

This feature is fresh out of the oven and was just released on June 27. Good luck with your project! 🍀

@@CodingIsFun Thanks for the tutorial, I'll try my best.

Thanks for watching. Hard to tell from a distance why you are facing an issue

@@CodingIsFun I solved it 10 minutes ago 😂 I didn't notice that my program saved the assistant response twice in the session.state.messages

Thanks for watching! 👍

You can do it with gemini or any other open model from hugging face, for free

Thanks so much for watching the video and leaving a comment! Your request is definitely noted. However, I get a ton of requests for custom solutions and, as much as I'd love to help everyone out, I just don't have the time in my schedule to develop and test all of them. I hope you can understand. Happy Coding!

@@CodingIsFun okayy thankss

As always, thanks for watching. As far as I know, there are no free APIs offered by OpenAI

Thanks for watching. Not that I know of.

Thanks. As I am mentioned, I took the code from the streamlit docs: docs.streamlit.io/knowledge-base/tutorials/build-conversational-apps

Thank you very much for watching the video and your comment. Your requirements are well noted. Yet, I receive many requests for creating individual solutions. As much as I want to help, I simply do not find the time in my daily schedule to develop & test all the different requests. I hope you can understand. Thank you! Cheers, Sven ✌️

Thanks for watching. You don't want to push the secrets file to GitHub. Therefore, make sure to include it in the .gitignore file. Cheers, Sven ✌

That's natively not supported in Streamlit according to the docs: docs.streamlit.io/develop/api-reference/chat/st.chat_input Cheers, Sven 🤞

Thank you very much for watching the video and your comment. Your requirements are well noted. Yet, I receive many requests for creating individual solutions. As much as I want to help, I simply do not find the time in my daily schedule to develop & test all the different requests. I hope you can understand. Thank you!

Thanks for watching. Have a look here: help.openai.com/en/articles/6891831-error-code-429-you-exceeded-your-current-quota-please-check-your-plan-and-billing-details I hope it helps! Cheers, Sven ✌️

Hello, Did you debug the error? The same error I just went throw. Could you please say the steps taken to debug the error?

@@sharonefsr24 I wasn't able to

Thanks for watching. That is currently not natively supported by Streamlit. Cheers, Sven ✌️

Thank you very much for watching the video and your comment. Your requirements are well noted. Yet, I receive many requests for creating individual solutions. As much as I want to help, I simply do not find the time in my daily schedule to develop & test all the different requests. I hope you can understand. Thank you! Cheers, Sven ✌️

You can use any other API / LLM if you want. I just use the OpenAI API as an example. Cheers, Sven ✌️

Don't worry. I suggest you get to know these tools well. Use them to help you work better and faster. I might actually make a separate video on this topic.

Ok, but please do not spam

Thanks for watching. Yes, it works

​@@CodingIsFunNo, I've tried it and it updates. Mine is an error, please make a new tutorial video 😢🙏

@@Aynay27 My example is staight from the docs: docs.streamlit.io/knowledge-base/tutorials/build-conversational-apps If you think, there is a bug in the Streamlit docs, you might want to raise a Github issue.

@@CodingIsFun I don't think @tanyyu and @Aynay27 are referring to Streamlit, that part is fine! What doesn't work is the way you interact with the OpenAI API which indeed has updated and it doesn't work like it's showing on the video anymore as that is considered deprecated. The solution could be to either to downgrade the version of the OpenAI lib with `pip install` or to update the code to reflect the new OpenAI API on chat completions which would be something like: ``` for response in OpenAI().chat.completions.create( model=st.session_state["openai_model"], messages=[ { "role": m["role"], "content": m["content"], } for m in st.session_state[MESSAGES] ], stream=True, ): full_response += response.choices[0].delta.content or "" message_placeholder.write(full_response) ```

@@Nuno_Reis_Official Thanks, that's a good point. Regarding my previous answer, I simply cannot give any advice without knowing the error message

Yes, after you have deployed your app, you can also share the url. I already have tutorials here on my channel on how to deploy a Streamlit app. Cheers, Sven ✌️

@@CodingIsFun thanks 😊

Thank you! Happy to hear that you're enjoying the videos! :)

The key difference is that os.getenv reads environment variables from the operating system, while streamlit.secrets provides a secure way to store and access sensitive data specifically within Streamlit applications, adding an extra layer of security when sharing or deploying these apps.