Image recognition

from openai import OpenAI

client = OpenAI(
    base_url="https://api.llm7.io/v1",
    api_key="unused",  # Use a https://dash.llm7.io/ token for higher limits.
)

image_url = "https://images.weserv.nl/?url=wsrv.nl/lichtenstein.jpg&w=600&output=webp"

messages = [
    {
        "role": "user",
        "content": [
            {"type": "text", "text": "Describe this image for alt text."},
            {"type": "image_url", "image_url": {"url": image_url}},
        ],
    }
]

stream = client.chat.completions.create(
    model="default",  # or a model ID with image input from /v1/models
    messages=messages,
    temperature=0.5,
    stream=True,
)

model_used = None
for chunk in stream:
    model_used = chunk.model
    delta = chunk.choices[0].delta.content or []
    if isinstance(delta, list):
        delta = "".join(
            part.get("text", "") for part in delta if part.get("type") == "text"
        )
    print(delta, end="", flush=True)

print(f"\nModel selected: {model_used}")

from openai import OpenAI

client = OpenAI(
    base_url="https://api.llm7.io/v1",
    api_key="unused",  # Use a https://dash.llm7.io/ token for higher limits.
)

image_url = "https://images.weserv.nl/?url=wsrv.nl/lichtenstein.jpg&w=600&output=webp"

result = client.chat.completions.create(
    model="pro",  # or a model ID with image input from /v1/models
    messages=[
        {
            "role": "user",
            "content": [
                {"type": "text", "text": "Summarize the scene in one sentence."},
                {"type": "image_url", "image_url": {"url": image_url}},
            ],
        }
    ],
    temperature=0.3,
)

print(result.choices[0].message.content)
print(f"Model selected: {result.model}")