​
代码

cookbook/models/google/gemini/video_input_file_upload.py
import time
from pathlib import Path

from agno.agent import Agent
from agno.media import Video
from agno.models.google import Gemini
from agno.utils.log import logger

model = Gemini(id="gemini-2.0-flash-exp")
agent = Agent(
    model=model,
    markdown=True,
)

# 请下载一个示例视频文件来测试这个 Agent
# 运行：`wget https://storage.googleapis.com/generativeai-downloads/images/GreatRedSpot.mp4` 来下载示例视频
video_path = Path(__file__).parent.joinpath("samplevideo.mp4")
video_file = None
remote_file_name = f"files/{video_path.stem.lower().replace('_', '')}"
try:
    video_file = model.get_client().files.get(name=remote_file_name)
except Exception as e:
    logger.info(f"获取文件 {video_path.stem} 时出错：{e}")
    pass

# 如果视频文件不存在，则上传该视频文件
if not video_file:
    try:
        logger.info(f"正在上传视频：{video_path}")
        video_file = model.get_client().files.upload(
            file=video_path,
            config=dict(name=video_path.stem, display_name=video_path.stem),
        )

        # 检查文件是否已准备好使用。
        while video_file.state.name == "PROCESSING":
            time.sleep(2)
            video_file = model.get_client().files.get(name=video_file.name)

        logger.info(f"已上传视频：{video_file}")
    except Exception as e:
        logger.error(f"上传视频时出错：{e}")

if __name__ == "__main__":
    agent.print_response(
        "告诉我关于这个视频的信息",
        videos=[Video(content=video_file)],
        stream=True,
    )

​
用法

1

创建虚拟环境

打开 Terminal 并创建一个 python 虚拟环境。

python3 -m venv .venv
source .venv/bin/activate
2

设置你的 API 密钥

export GOOGLE_API_KEY=xxx
3

安装库

pip install -U google-genai agno
4

运行 Agent

python cookbook/models/google/gemini/video_input_file_upload.py