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Build Chat Apps with Streamlit Chat Elements and GPT4All (LLM Apps)
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In this tutorial we will learn how to use the streamlit chat elements with gpt4all to build a chatbot and a Large language Model App.
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⏲️===TimeStamps===⏲️
0:01 Introduction
01:20 Workflow of App
02:30 Setup
03:20 Chat Elements - Chat Input
03:45 Display chat with Chat_Message
05:05 Roles, User and Custom Avatar Icon
06:40 Temporal Storage via Session State
07:30 Chat history
08:40 Adding to Session State
11:40 Adding LLM via Gpt4all
15:00 Process with LLM and Store Response
21:05 Recap
If you liked the video don't forget to leave a like 👍 or subscribe ❤️.
⚡ If you need any help just message me in the comments, you never know it might help someone else too. ⚡
JCharisTech
Support the Channel: Become a Patreon
◾◾◾Get The Data Science Prime App◾◾◾
◾◾◾ Need Your Dataset Cleaned check out this gig ◾◾◾
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🎓=== Check out these Awesome Data Science Courses!===🎓
⏲️===TimeStamps===⏲️
0:01 Introduction
01:20 Workflow of App
02:30 Setup
03:20 Chat Elements - Chat Input
03:45 Display chat with Chat_Message
05:05 Roles, User and Custom Avatar Icon
06:40 Temporal Storage via Session State
07:30 Chat history
08:40 Adding to Session State
11:40 Adding LLM via Gpt4all
15:00 Process with LLM and Store Response
21:05 Recap
If you liked the video don't forget to leave a like 👍 or subscribe ❤️.
⚡ If you need any help just message me in the comments, you never know it might help someone else too. ⚡
JCharisTech
Support the Channel: Become a Patreon
◾◾◾Get The Data Science Prime App◾◾◾
◾◾◾ Need Your Dataset Cleaned check out this gig ◾◾◾
Follow
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