Chat with CSV Streamlit Chatbot using Llama 2: All Open Source

In this exciting tutorial, I'll show you how to create your very own CSV Streamlit Chatbot using the powerful and open-source Llama 2 language model developed by Meta AI! The best part? It runs smoothly on a regular CPU machine, so no need for expensive hardware.

Throughout the video, I'll guide you step-by-step on building the chatbot, which can effortlessly retrieve information from a CSV file. To enhance its capabilities, we'll leverage sentence transformers for embeddings and utilize faiss CPU for efficient vector storage.

If you've ever wanted to dive into the world of chatbots and explore the potential of natural language processing, this tutorial is perfect for you. Join me and let's get hands-on with this exciting project!

Remember to like, comment, and subscribe to stay updated with more thrilling tutorials like this one. Happy coding!

#generativeai #coding #python

[CesarVegaL]

Thanks for the information. I'm going to try it and I'll be telling you about it. Great job!

[KAMShow-seqd]

Thank you so much for information and tutorial ! you really help us all understand everything better.

[sneharoy]

Was waiting for the CSV video... Thank you.

[MarceloLimaXP]

I ran the application on my machine. It worked perfectly =) Thank you.

[rajkachhadiya]

really interesting video and no one provides this much good content on YouTube
Thank you dear for your efforts and good content.
I appreciate your content and efforts. Once again thank you

[mallorywestwood]

May I know why you didn't use an Agent? For example instead of CSVLoader, could we have used create_csv_agent(llm, path) ? Trying to understand the difference.

[carloseugeniotorres]

Hi, how to use the downloaded model with an agent like or "create_csv_agent" to be able to make more precise queries to the CSV data? Like "how many rows with column=3" or "give me the mean of column test". Because like you did these kind of questions do not work.

[AA-rdnm]

Very nice and informative. If you can show how you deploy and create web versions that would be highly helpful.

[VenkatesanVenkat-fdhg]

Superrrr, thanks for your valuable content....

[esakkisundar]

I tried with a dataset containing employee salary information. When I ask how many records are present in the dataset, model is giving an incorrect output. If I ask what is the minimum salary its giving incorrect answer as well. How to make the model give accurate result

[learningneverends]

I am seeing streamlit Running but notseeing any response in even 10 to 15 mins as well.. The response
takes longer time?

[dasshiv]

I am getting this error any idea of resolving this? ValidationError: 2 validation errors for CTransformers max_new_tokens extra fields not permitted (type=value_error.extra) temperature extra fields not permitted (type=value_error.extra)

[prabhukesavan]

Is it possible to apply association rules to the csv data and get the results, like the appriori algo does.

[BestRestaurantToEat]

Where will we store (the directory) the download LLM - downloaded model here

[srikanthcv]

Hi, how do I consult you I have few questions, I need to process data of multiple csv file of different users, the search should happen specific to user which i select from the drop down

[sanjosedancewearandcostume]

very good video, you don't beat around the bush, which i like very much concise and to the point. All of your examples show cpu what if we have gpu and would like to use it. What changes or the imports you will make to make it run on gpu and make it run faster. Please point out those elements in your videos. I remember compiling your code and notices one or two modules without gpu support. Please love to hear back from you

[bijaynayak]

thanks for this informattive video .I have recreated with the same code & uploading the 2019 csv file while quering it is giving below error msg.
"Number of tokens (723) exceeded maximum context length (512)" what need to be done ?

[GiridharReddy-hbnv]

Why we are not using CSV_Agent from the Langchain here, will it perform better than this

[nysagarg]

Thank you so much for the video @aianytime! The app isn't running on my device tho. Its taking too much time to run

[jennilthiyam]

Hi, if i want to run this code on GPU, what shall i do?