Video

Video question answering

This example demonstrates how to ask questions about 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="Describe the tone and genre 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_question_answering.py
Certainly! Here's a description of the tone and genre of the video clip:
**Genre:**  Travel or scenery/ambient video
**Tone:** Relaxed, peaceful, and observational. The video presents a serene view of a park next to a busy street. The presence of nature with the sounds of the city creates a tranquil atmosphere.

Further Information

Gemini docs link 1