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December 5, 2025 14:36
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| # /// script | |
| # requires-python = ">=3.12" | |
| # dependencies = [ | |
| # "httpx", | |
| # "rich", | |
| # ] | |
| # /// | |
| # script require llama.cpp: > llama-server -hf ggml-org/SmolVLM-500M-Instruct-GGUF --n-predict -1 | |
| import base64 | |
| from pathlib import Path | |
| from httpx import Client | |
| def image_to_base64(path: Path) -> str: | |
| data = base64.b64encode(path.read_bytes()).decode("utf-8") | |
| return f"data:image/jpeg;base64,{data}" | |
| def describe_image(image: Path) -> dict: | |
| image_b64 = image_to_base64(image) | |
| base_url = "http://localhost:8080" | |
| payload = { | |
| "model": "SmolVLM", # not used | |
| "messages": [ | |
| {"role": "system", "content": "Describe what you see in 5 sentences"}, | |
| { | |
| "role": "user", | |
| "content": [{"type": "image_url", "image_url": {"url": image_b64}}], | |
| }, | |
| ], | |
| "temperature": 0.0, | |
| } | |
| with Client( | |
| base_url=base_url, | |
| headers={"Content-Type": "application/json"}, | |
| timeout=None, | |
| ) as requests: | |
| response = requests.post("/v1/chat/completions", json=payload) | |
| return response.json() | |
| if __name__ == "__main__": | |
| from rich.console import Console | |
| from rich.markdown import Markdown | |
| beer = Path("beer.png") | |
| results = describe_image(beer) | |
| text = results["choices"][0]["message"]["content"] | |
| console = Console() | |
| console.print(Markdown(text)) |
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