Hi thank you vey much o all your tutorials..
I am quite inexperienced on the AI subject.. Yet before referring to you I spent quite some time and I see in this repo .. (I have installed langflow server (both desktop and pip version) and your project in VS Code; but got stuck at Langflow API endpoints: and I can't proceed unfortunately)
the "langflow_flow" is missing in this repo whereas in other repos for instance in "meetingmind project" you have it as well as "instructions" how to do it:
- Set up LangFlow:
Install and run the LangFlow backend server
Upload the flow provided in the repo at utils/langflow_flow/Meeting Mind.json
Note the URL of your LangFlow server
Create a .env.local file in the root directory and add the LangFlow URL: .. and so on..
Could you pls. help me on this?
I am especially wondering the quality mindmap of YT Video transcript it will generate and I will compare it to the ones generated mostly on online sites.
Also, Maybe here I might have more control such as exporting as .md file or .mm file that can be read by Xmind..
In any case, by this I will be getting into AI especially locally running it etc. just because of this project and you.
Thank you for your time.
Hi thank you vey much o all your tutorials..
I am quite inexperienced on the AI subject.. Yet before referring to you I spent quite some time and I see in this repo .. (I have installed langflow server (both desktop and pip version) and your project in VS Code; but got stuck at Langflow API endpoints: and I can't proceed unfortunately)
the "langflow_flow" is missing in this repo whereas in other repos for instance in "meetingmind project" you have it as well as "instructions" how to do it:
Could you pls. help me on this?
I am especially wondering the quality mindmap of YT Video transcript it will generate and I will compare it to the ones generated mostly on online sites.
Also, Maybe here I might have more control such as exporting as .md file or .mm file that can be read by Xmind..
In any case, by this I will be getting into AI especially locally running it etc. just because of this project and you.
Thank you for your time.