Video

Video summarization

This example demonstrates how to summarize the content of a video using the Gemini API. Note: For videos larger than 20MB, you must use the File API for uploading.

Import the Gemini API

from google import genai
from google.genai import types
import os
import requests

Initialize the Gemini client with your API key

client = genai.Client(api_key=os.getenv("GEMINI_API_KEY"))

video_url = "https://download.samplelib.com/mp4/sample-5s.mp4"

Download the video file. Read the video file as bytes for inline upload.

response = requests.get(video_url)
video_bytes = response.content

Create a Gemini request with the video and a question

response = client.models.generate_content(
    model="gemini-2.0-flash",
    contents=types.Content(
        parts=[
            types.Part(text="Summarize the content of this video."),
            types.Part(inline_data=types.Blob(data=video_bytes, mime_type="video/mp4")),
        ]
    ),
)

Print the model's response

print(response.text)

Running the Example

First, install the Google Generative AI library

$ pip install google-genai

Then run the program with Python

$ python video_summarization.py
The video shows a park with trees next to a busy street with cars and buses passing by. The sun shines through the leaves of the trees.

Further Information

Gemini docs link 1