GPT-4

from openai import OpenAI
import base64

client = OpenAI(api_key="your-api-key")

# GPT-4 Turbo with Vision (이미지 분석)
def analyze_image(image_path: str, question: str) -> str:
    with open(image_path, "rb") as f:
        image_data = base64.standard_b64encode(f.read()).decode("utf-8")

    response = client.chat.completions.create(
        model="gpt-4-turbo",
        messages=[{
            "role": "user",
            "content": [
                {"type": "text", "text": question},
                {"type": "image_url", "image_url": {
                    "url": f"data:image/jpeg;base64,{image_data}",
                    "detail": "high"  # low, high, auto
                }}
            ]
        }],
        max_tokens=1000
    )
    return response.choices[0].message.content

# 재현 가능한 출력 (seed 사용)
response = client.chat.completions.create(
    model="gpt-4-turbo",
    messages=[{"role": "user", "content": "Generate a haiku about coding."}],
    seed=42,
    temperature=1
)
print(f"System fingerprint: {response.system_fingerprint}")

# JSON 모드 활용
response = client.chat.completions.create(
    model="gpt-4-turbo",
    messages=[
        {"role": "system", "content": "Extract entities as JSON with keys: persons, organizations, locations"},
        {"role": "user", "content": "Apple CEO Tim Cook announced new products in Cupertino."}
    ],
    response_format={"type": "json_object"}
)
import json
entities = json.loads(response.choices[0].message.content)

# Assistants API with Code Interpreter
assistant = client.beta.assistants.create(
    name="Data Analyst",
    instructions="You analyze data and create visualizations.",
    model="gpt-4-turbo",
    tools=[{"type": "code_interpreter"}]
)

thread = client.beta.threads.create()
client.beta.threads.messages.create(
    thread_id=thread.id,
    role="user",
    content="Analyze the attached CSV and plot sales trends."
)

run = client.beta.threads.runs.create_and_poll(
    thread_id=thread.id,
    assistant_id=assistant.id
)

# 긴 문서 처리 (128K 컨텍스트)
with open("long_document.txt", "r") as f:
    long_text = f.read()  # 최대 ~300페이지

response = client.chat.completions.create(
    model="gpt-4-turbo",
    messages=[
        {"role": "system", "content": "Summarize the key points of this document."},
        {"role": "user", "content": long_text}
    ],
    max_tokens=2000
)