Video

Just finished the tutorial and some other on your channel! How do I make a chatlike interface on streamlit where answers from the llm is displayed and remembered for further conversation?

Hi, Thanks to the video. I followed all the instructions and I make an adjustments but when I type this prompt "create a countplot of color" The output response is: "Unfortunately, I was not able to answer your question, because of the following error: [Errno 2] No such file or directory: 'D:/Workspace_vs_code/Chatbot/exports/charts/temp_chart.png' " How to solve this? thank you

you genius!!!

I run same code but getting Unfortunately, I was not able to answer your question, because of the following error: No code found in the response

Thank you very much for nice video. How can i apply two or more csv files in this pandasai and ollama? Ex) Comparing two or more csv file and finding the join of the csv files.

Thank you so much for sharing this valuable information. Great Job.👏👏

Does this work on mac with m2 too?

is there any solution to make the queries run faster? will gpu help?

Hi , I followed the same but I am getting error as "Unfortunately, I was not able to answer your question, because of the following error: No code found in the response" .

The voice is too robotic...😅

Thank you so much for sharing this wonderful information.👏👏

i did the exact ways u did brother..but the model takes a lot of time to generate the response..is there any possible fix?

Awesome video. Can we use this concept in ollama without using the langchain concept?

OK

for me i didnt get same output as u when debuged prompt in 07:15

Thanks so much for this informative tutorial. What keyboard are you using ? It sounds very nice 😊

This is so good! ❤ thank you so much!

Amazing video. Thank you.

Cool. When are you going to make a video about PDF queries ? That would be great!

which version of numpy youre using? ValueError: numpy.dtype size changed, may indicate binary incompatibility. Expected 96 from C header, got 88 from PyObject

Great video, opens so many possibilities. Qn. What are the system requirements for this type of set up?

Really enjoyed the video, thank you.

Great video. Thank you for making this easy.

Nice..but how is this different from other ask csv videos? whats the special point of agent ?

Udemyde de Türkçesi bulunmuyor. Eğitimleri Türkçe de yapabilir misin? En azından Türkçe altyazı?

wow your videos are amazing. CAn we use any open-source model with PandasAi?

Very cool! But this cannot be done in a deployed streamlit app for anyone to use... right?

Thanks for the video. Why do you have v1 at the end of the url?

Easy to follow, yet mind-blowing!

12:26 Gracias mil, la animación es muy adecuada cuando se intenta estas cosas y se consiguen mil errores hasta que por fin se logra el objetivo ja

Alguien ya verifico que los numeros esten bien

How much did it cost

I like when you say there we go😊

Thank you, but could you please hellp me. I get this error : Unfortunately, I was not able to answer your question, because of the following error: 404 page not found when I look at the pandasai.log I get this error : What is the sales in Canada? Variable `dfs: list[pd.DataFrame]` is already declared. At the end, declare "result" variable as a dictionary of type and value. If you are asked to plot a chart, use "matplotlib" for charts, save as png. Generate python code and return full updated code: 2024-06-10 13:31:35 [INFO] Executing Step 3: CodeGenerator 2024-06-10 13:31:35 [INFO] HTTP Request: POST 127.0.0.1:11434/chat/completions "HTTP/1.1 404 Not Found" 2024-06-10 13:31:35 [ERROR] Pipeline failed on step 3: 404 page not found

Thanks your videos are detailed and informative

I would call this an agent. more like pandas chat bot

Hi any steps you can suggest i should learn first? I'm from game development background with c#, I know a little bit of python. I don't know about conda or anything else

Hi great video. I wanted to ask whether prompting is necessary to improve the answer accuracy of the agent. Also how to deal with huge databases? Thanks in advance

Can u show how i can use RAG in this framework. I have a .csv file i would want to use for responses. Pls show that

What is purpose of using Conda environment for the projects ? I have been following your tutorials for a while and in your implementations you are always creating Conda environment. Due to fact that I am new to python I am curious is there any reason other than those benefits: Isolation, dependency management ?

Its not working all the time. Its handy but not good. In other way langchain dataframe agents are working better than this.

Hello, I wrote the same code, it works, but it is very slow, for example, when I say bring the first 4 data, it responds in 2 minutes 3 minutes, but it is very very fast in you. It is very fast when chatting normally with llama3. It is very fast in my database, but when I write this code, it works very slowly.

Thanks for the tutorial! Is this actually running locally? If so, how did it download so quickly?

Nice video. Thank you.

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why i am getting: llm = ollama(model="llama3") TypeError: 'module' object is not callable

Thank you,,,

I have 64gb ram and 8gb vram, i want to run llama 70B but it doesn't fit. how can i run it on system ram (64gb one) on python . can you make a video for that?

I have 64gb ram and 8gb vram, i want to run llama 70B but it doesn't fit. how can i run it on system ram with python. can you make a video for that?

thanks for your video. from indonesia.. but why in my laptop result data is so long.. any idea ?. my spec is asus ryzen 7 gen 5