build/lib/tools/model.py

import torch
from ollama import chat

# from pathlib import Path

# Pass in the path to the image
path = input("Please enter the path to the image: ")

# You can also pass in base64 encoded image data
# img = base64.b64encode(Path(path).read_bytes()).decode()
# or the raw bytes
# img = Path(path).read_bytes()

response = chat(
    model="gemma3:latest",
    messages=[
        {
            "role": "user",
            "content": "Review the chess position provided in the image. It is black's turn. Provide the correct next move for black which guarantees a win. Please provide your response in algebraic notation.",
            "images": [path],
        }
    ],
)


print(response.message.content)
torch.cuda.empty_cache()