Мультимодальный ввод и выполнение кода в Gemini

from google import genai
from PIL import Image

client = genai.Client(
    api_key="YOUR_API_KEY",
    http_options={"base_url": "https://api.apiyi.com"}
)

img = Image.open("photo.jpg")

response = client.models.generate_content(
    model="gemini-3.5-flash",
    contents=[
        "Describe this image in detail: key elements, colors, composition.",
        img
    ]
)
print(response.text)

from google.genai import types

with open("photo.jpg", "rb") as f:
    image_bytes = f.read()

response = client.models.generate_content(
    model="gemini-3.5-flash",
    contents=[
        types.Part.from_bytes(data=image_bytes, mime_type="image/jpeg"),
        "What's in this image?"
    ]
)

from google.genai import types

with open("meeting.mp3", "rb") as f:
    audio_bytes = f.read()

response = client.models.generate_content(
    model="gemini-3.5-flash",
    contents=[
        types.Part.from_bytes(data=audio_bytes, mime_type="audio/mp3"),
        "Transcribe this audio and summarize the main topics."
    ]
)
print(response.text)

from google.genai import types

with open("demo.mp4", "rb") as f:
    video_bytes = f.read()

response = client.models.generate_content(
    model="gemini-3.5-flash",
    contents=[
        types.Part.from_bytes(data=video_bytes, mime_type="video/mp4"),
        "Summarize the main content and key information of this video."
    ]
)
print(response.text)

from google.genai import types

response = client.models.generate_content(
    model="gemini-3.5-flash",
    contents=["What's the theme of this image?", img],
    config=types.GenerateContentConfig(
        media_resolution="MEDIA_RESOLUTION_LOW"  # LOW / MEDIUM / HIGH
    )
)

response = client.models.generate_content(
    model="gemini-3.5-flash",
    contents="""
Sales data: Product A 100 units × \$50, Product B 200 × \$30, Product C 150 × \$40.
Compute total revenue, average unit price, and each product's revenue share.
""",
    config={"tools": [{"code_execution": {}}]}
)

for part in response.candidates[0].content.parts:
    if getattr(part, "executable_code", None):
        print(f"[Code executed]\n{part.executable_code.code}")
    if getattr(part, "code_execution_result", None):
        print(f"[Result]\n{part.code_execution_result.output}")
    if getattr(part, "text", None):
        print(f"[Explanation]\n{part.text}")