Local Inference (Ollama) and Offline Functionality Not Working as Expected

We attempted to set up Hugging Face AI Sheets to perform inference using local Large Language Models (LLMs) via Ollama
(specifically llama3 and phi3:mini), aiming for data privacy and potential offline use. However, our extensive testing
revealed that the application does not behave as expected based on the CUSTOMIZATION.md documentation.

Observed Behavior:

1. Hard Dependency on Internet Connection (Offline Failure):
2. Inference Not Routed to Local Ollama (Even When Online):
3. UI Misleading/Problematic:
4. `HF_TOKEN` Requirement:
1. Clone the AI Sheets repository: git clone https://github.com/huggingface/aisheets.git
`
HF_TOKEN="hf_YOUR_VALID_HUGGINGFACE_TOKEN"
MODEL_ENDPOINT_URL="http://localhost:11434"
MODEL_ENDPOINT_NAME="llama3" # Or "phi3:mini" for testing the other model
`
6. Build the application: pnpm run build
7. Start the server: pnpm serve (ensure internet connection is active for this step).
8. In the AI Sheets UI, load a CSV file (e.g., reviews.csv with texto_resena in column2).
9. Add a new column using a prompt (e.g., sentiment analysis on {{column2}}).
10. Observe: Check the ollama serve terminal. No new log entries will appear, indicating no request reached the local server.
11. Test Offline: Disconnect from the internet. Restart pnpm serve. The application will fail to load with an ENOTFOUND
huggingface.co error.

Expected Behavior:

* The application should be able to load and function without an internet connection when configured for local LLMs.
* Misleading documentation regarding local/offline capabilities.
* Operating System: Windows (win32)