Thank you! And great question. I show my specs (for the computer I mainly use for recording) and address how to get better performance with Ollama in my 3 latest videos. Here is one of them... th-cam.com/video/l0tc2TSxkO8/w-d-xo.html I hope it helps!
How do you use the openweb ui API key? Not the open AI API key. I want to "generate secret API key" and put my local AI into apps, VR, discord bot, and use on my phone.
Hi there! Thanks for your patience. I have been busy on other projects lately. Open WebUI actually sits on top of something like Ollama so it would not have an API key that you would use. Understanding API Keys: Open AI API Key: You need this if you're connecting to OpenAI's services. This isn't related to running local models but is for accessing their cloud-based models. No API Key for Local Models: When using Ollama or similar local AI runners, you generally don't need an API key for the model itself since it runs on your machine. Exposing Local AI to External Apps: Local AI Access: If you want to access Ollama or any local AI from outside your local network (like in VR, on your phone, or through a Discord bot), you'll indeed need to make your local service accessible over the internet. Here's how: Dynamic DNS Services: Services like No-IP can give your dynamic IP a static hostname. This is useful but might not directly help with API access unless paired with port forwarding or tunneling. Tunneling with ngrok: This is a great suggestion for exposing a local server to the internet temporarily. However, for a more permanent solution, you might look into setting up a reverse proxy or using a VPN. Securing Your Service: If you decide to make your local AI accessible via an API (which would be necessary for integration into apps or bots), you should indeed secure it: Create an API Endpoint: Your app or bot would interact with this endpoint. Here, you might consider generating a "secret API key" not for Ollama but for your application layer that interacts with Ollama or another local AI. This key would be used to authenticate and authorize requests to your service, not to interact with the AI model itself. Security: Use HTTPS for your API, implement authentication (like API keys or OAuth), and consider rate limiting to protect your local resources. Implementation Ideas: For Discord Bot or Mobile App: You would write an application that communicates with your local AI through a secure API you've set up. This app would use your custom API key to authenticate its requests to your local server. Future Video Content: This is indeed a fantastic idea for a video or a series! Covering how to set up a local AI, expose it safely to the internet, secure it with API keys, and then integrate it into various platforms could be very educational. Thanks for watching!
Yeah, running these locally is going to depend on your local resources. You will definitely want a good GPU and Ollama should take advantage of that. Still can be a bit slow though it seems. Also depends on the parameter size of the model. Thanks for watching!
I really appreciate the time for creating this Ollama videos. For noobs this step by step are very helpful.
Glad it was helpful! Thanks for the feedback!
Hey there, very good video. Can you please tell, what is your computer specification? My laptop can't process even simple query.
Thank you! And great question. I show my specs (for the computer I mainly use for recording) and address how to get better performance with Ollama in my 3 latest videos. Here is one of them...
th-cam.com/video/l0tc2TSxkO8/w-d-xo.html
I hope it helps!
How do you use the openweb ui API key? Not the open AI API key. I want to "generate secret API key" and put my local AI into apps, VR, discord bot, and use on my phone.
Hi there! Thanks for your patience. I have been busy on other projects lately. Open WebUI actually sits on top of something like Ollama so it would not have an API key that you would use.
Understanding API Keys:
Open AI API Key: You need this if you're connecting to OpenAI's services. This isn't related to running local models but is for accessing their cloud-based models.
No API Key for Local Models: When using Ollama or similar local AI runners, you generally don't need an API key for the model itself since it runs on your machine.
Exposing Local AI to External Apps:
Local AI Access: If you want to access Ollama or any local AI from outside your local network (like in VR, on your phone, or through a Discord bot), you'll indeed need to make your local service accessible over the internet. Here's how:
Dynamic DNS Services: Services like No-IP can give your dynamic IP a static hostname. This is useful but might not directly help with API access unless paired with port forwarding or tunneling.
Tunneling with ngrok: This is a great suggestion for exposing a local server to the internet temporarily. However, for a more permanent solution, you might look into setting up a reverse proxy or using a VPN.
Securing Your Service:
If you decide to make your local AI accessible via an API (which would be necessary for integration into apps or bots), you should indeed secure it:
Create an API Endpoint: Your app or bot would interact with this endpoint. Here, you might consider generating a "secret API key" not for Ollama but for your application layer that interacts with Ollama or another local AI. This key would be used to authenticate and authorize requests to your service, not to interact with the AI model itself.
Security: Use HTTPS for your API, implement authentication (like API keys or OAuth), and consider rate limiting to protect your local resources.
Implementation Ideas:
For Discord Bot or Mobile App: You would write an application that communicates with your local AI through a secure API you've set up. This app would use your custom API key to authenticate its requests to your local server.
Future Video Content:
This is indeed a fantastic idea for a video or a series! Covering how to set up a local AI, expose it safely to the internet, secure it with API keys, and then integrate it into various platforms could be very educational.
Thanks for watching!
far from be an expert but doing a prompt is very slow to get an answer.
Yeah, running these locally is going to depend on your local resources. You will definitely want a good GPU and Ollama should take advantage of that. Still can be a bit slow though it seems. Also depends on the parameter size of the model. Thanks for watching!