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shaunthecomputerscientist / EDA-GPT

Automated Data Analysis leveraging llms
MIT License
146 stars 30 forks source link

Is there a way to run it with LMStudio or Ollama? #1

Open qwaszaq opened 1 month ago

shaunthecomputerscientist commented 1 month ago

Thank you for taking interest. It uses langchain integration of ollama. I don't have space to run ollama models on my device. But it's great if you could test the ollama feature. You need to run the app and choose ollama model which you have downloaded.

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rocket-ops commented 1 month ago

Great project. Was trying to get this going with Ollama and local LLM but Ollama doesn't utilize an API key to put in the secrets file. Is there a work around or a way get this working?

shaunthecomputerscientist commented 1 month ago

Great project. Was trying to get this going with Ollama and local LLM but Ollama doesn't utilize an API key to put in the secrets file. Is there a work around or a way get this working?

Did you try installing ollama model and serving it. Then using eda gpt to choose the model? Is it not working?

rocket-ops commented 1 month ago

Ollama is being served. Initially, I got an error for no secrets.toml file after launching streamlit. I created an empty file. After launching EDA, I get on the home screen.

KeyError: 'st.secrets has no key "HUGGINGFACEHUB_API_TOKEN". Did you forget to add it to secrets.toml or the app settings on Streamlit Cloud? More info: https://docs.streamlit.io/streamlit-cloud/get-started/deploy-an-app/connect-to-data-sources/secrets-management'

In the Edit GPT screen a slightly different one.

KeyError: 'st.secrets has no key "TAVILY_API_KEY". Did you forget to add it to secrets.toml or the app settings on Streamlit Cloud? More info: https://docs.streamlit.io/streamlit-cloud/get-started/deploy-an-app/connect-to-data-sources/secrets-management'

shaunthecomputerscientist commented 1 month ago

You need to fill the api keys of the services you are using else it will give error. If you select huggingface but don't have api key it will give error. If you use the search function for llm to search the Internet then tavily api will throw error. I suggest you to make these keys. These are free.

shaunthecomputerscientist commented 1 month ago

I should mention the links for making all api keys in readme. That way anyone can use it.

rocket-ops commented 1 month ago

Ok, I was not aware I needed to create keys for all the services to be able to then use Ollama locally. I never get to the point where I can select any specific service. I added OPEN AI to the secrets file but still get HuggingFace error.

rocket-ops commented 1 month ago

Added a hugging face token, still error. Just want to confirm you need to have a token for every service listed? The error is for a different one. Sorry for all the questions. Starting to think this project is over my head. Thank you for your help.

shaunthecomputerscientist commented 1 month ago

Since i made the project i know how to handle. From consumer point it's difficult. Let's connect somewhere and tell me all the problems. I will fix rhose and push a new version. Are you on WhatsApp?

rocket-ops commented 1 month ago

Send you an email, I am on whatapp.

shaunthecomputerscientist commented 1 month ago

@.***

On Tue, 30 Jul 2024, 18:57 rocket-ops, @.***> wrote:

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rocket-ops commented 1 month ago

Bingo! Got it, when I created the secrets.toml file, I did not put in all the blank entries that it was looking for so streamlit was erroring. Entered all the lines with no keys and it worked fine. Thanks for your help.

shaunthecomputerscientist commented 1 month ago

That's great. I feel like i should turn it into web app instead or a package so you can integrate the work flow in your app. Since i had less time i used streamlit for quicker interface. Tell me if ollama is working after you run that on yoru device else I'll fix that.

rocket-ops commented 1 month ago

It's working just fine. Have been messing with the config to try to push some larger datasets and see what happens. Very nice project.

shaunthecomputerscientist commented 1 month ago

Thank you. It works well on good or decent systems. If someone has low processing power then it's challanging to optimize. I tried to use all cpu cores available to process the files for creating embeddings. It can work decently with 100-200 page of dense texts. Not sure about 1000 pages. You can try once and let me know.

arsaboo commented 2 weeks ago

How are you adding Ollama server URL? I don't see any documentation