Chat with MySQL Database using GPT-4 and Mistral AI | Python GUI App

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Build a Natural Language SQL Chatbot with GPT-4 and Mistral AI: A Complete Tutorial

This is a tutorial on building a natural language SQL chatbot using GPT-4 and Mistral. This chatbot isn't just any chatbot; it's designed to communicate with a SQL database in natural language.

In this detailed video, we cover everything from setting up your development environment to integrating OpenAI's powerful GPT-4 model for generating SQL queries based on natural language input. Whether you're a beginner or an experienced developer, you'll find valuable insights into developing applications that interact with Large Language Models.

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## Key Highlights
- Creating the Chat Interface: Learn how to set up a user-friendly chat interface that allows users to ask questions in natural language.
- SQL Query Generation: Discover how to utilize GPT-4 to generate SQL queries from natural language questions.
- Database Interaction: Get hands-on experience connecting to a SQL database, running generated queries, and interpreting the results.
- Enhancing User Experience: Explore how to implement conversational memory for follow-up questions, making your chatbot smarter and more intuitive.
- Tech Stack Deep Dive: Dive deep into the technologies used, including Python, Streamlit for the frontend, LangChain for integrating language models, and SQL Alchemy for database management.

By the end of this tutorial, you'll have a fully functional SQL chatbot that can interpret natural language queries, generate corresponding SQL queries, and fetch and interpret results from a music store database. This project is not just a fantastic addition to your portfolio but also a solid foundation for developing advanced AI-driven applications.

Whether you're aiming to impress potential employers, showcase innovative projects to your clients, or simply share your creations with friends, this tutorial equips you with the skills and knowledge needed to stand out in the tech world.

Don't forget to like, share, and subscribe for more tutorials on the latest software technologies. Join our Discord server for community updates and discussions on the fascinating world of Large Language Models. Let's embark on this journey together and unlock the full potential of AI in application development!

🚀 Timestamps:
0:00 Introduction
2:21 Setting Up the Project
5:39 Build the GUI
11:10 Integrating the Database
17:49 SQL Chain Diagram
20:28 Make chat interactive
27:09 Create SQL Chain
38:43 Create Full Chain
50:05 Runnables
53:45 Add Mistral AI Model and Test
59:53 Conclusion

#SQLChatbot #GPT4Tutorial #AIProgramming #SoftwareDevelopment #PythonTutorial #OpenAI #Streamlit #LangChain #SQLAlchemy #TechTutorial
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please make video for this usecase only using open source LLM models

RahulM-lmqg
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I just made it through the entire tutorial. As usual you attention to the details is awesome. Now I want to try to agent version and see the difference!

jim
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Great!! I will try it out this week!! Keep on going with the good stuff🎉

aristoz
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Thanks @alejandro_ao. Could you make a video on implementing graphs/charts alongside the NL response?
Congrats on your diploma!

lookingaround
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The way you explain the details is impressive.

AasherKamal
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Hi Alejandro! Thanks for the video and congrats for your achivement. Here is my little contribution to your great viedo. It seems that the example SQL query for question: "which 3 artists have the most tracks?" is not right (at minute 28:27). One solution could be "SELECT Header.Name, COUNT(*) as track_count FROM (SELECT artist.Name, album.ArtistId, album.AlbumId FROM album JOIN artist ON album.ArtistId = artist.ArtistId) AS Header JOIN track ON Header.AlbumId = track.AlbumId GROUP BY Header.ArtistId ORDER BY track_count DESC LIMIT 3;" 😉

claudiogandolfo
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Thanks for this great tutorial. In case I would like to have some plot (bar or line charts of any column of a table), how should I approach ?

songfromktown
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Congratulations on your Diploma. 🎊 Enjoying your videos.

muhammadqasim
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Hello, great tutorial as always. I am completely new to this, so after running the code and changing a few things I keep getting this error "AttributeError: st.session_state has no attribute "db"" and I do not know how to solve it.

AyomideKazeem-gn
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Love your walkthroughs! I’m using your method and approach to chat with a MySQL database of resumes. The eventual goal would be to build up the database of both resumes and job descriptions and have my team of recruiters be able to prompt it to optimize efficiency.

scollin
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Great project. As a beginner this project can help me to learn better. Do make some more unique projects . Keep doing great work.

shashankkumardubey
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Great, thanks for sharing. Quick question: Can it be used with large databases that have more than 100 tables? What do you recommend for handling large databases?

MarioLopez-bmmf
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I need your help, I followed all the steps and I am at the last part where I ask questions and get feedbacks but I keep getting this error validation error even though I have included the API KEY.

for ChatGroq __root__ Did not find groq_api_key, please add an environment variable `GROQ_API_KEY` which contains it, or pass `groq_api_key` as a named parameter. Please what can I do?

niyetheg
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If using open_ai_key, will the data in the database be leaked, how can it be secured?

nguyenduythai
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Are you able to create a video where you're searching through multiple tables? Or would this approach work for this too?

LukeS-em
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Do you have a series for beginner to learn how to build custom theme and create pages with these? I'm used to build with the builder in WordPress.

andersonkoh
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Hi, this is great thank you so much I'm learning a lot from this. I see you said this wasn't production ready and that improvements could be made. What improvements do you think you would make and why would that be an improvement? Thanks again for this video, you're very ahead with tech :)

TYTennis
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This is what we have been waiting for a time, No words only 🎈🤩..We must all do our homework. Special thanks for groqcloud.Congratulation on your Diploma AO.

trideepsaha
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can you show me the steps when my streamlit app is hosted on cloud so that when the user enters connection details my web app should be able to connect

Parthi
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Hey alejandro amazing project! I implemented this made a bunch if changes to it too.
I had a request, do you have a video about creating and working with agents using open source llms like groq. If not can you make a tutorial for that? Most videos i see always use openai and i just am not able to implement them with open source llms. And openai refuses to take my debit card

delgrave