I’ve been using Python a lot lately for small automation and AI experiments, and one of the simplest but surprisingly useful things I built was a text summarizer.
The idea is very basic: you give it a long piece of text, and it returns a shorter version that still keeps the main meaning.
Nothing fancy just Python + an AI API but it’s actually something you can turn into real tools pretty quickly.
I started with a simple thought: most of the time, I don’t need all the text, I just need the key idea. So I tried to automate that.
Here’s the core part of the code:
python id="h3k1a9"
from openai import OpenAI
client = OpenAI(api_key="YOUR_API_KEY")
def summarize_text(text):
response = client.chat.completions.create(
model="gpt-4o-mini",
messages=[
{
"role": "system",
"content": "Summarize the text in a clear and simple way."
},
{
"role": "user",
"content": text
}
]
)
return response.choices[0].message.content
Honestly, this is pretty much it.
You pass in text, and the AI does the rest.
To test it, I just used a random paragraph:
python id="k9s2ld"
text = """
Python is widely used in AI, automation, and data science.
It is popular because it is simple and has a lot of powerful libraries.
print(summarize_text(text))
And the output is something like:
Python is a simple and popular language used in AI, automation, and data science.
What I like about this is how quickly something useful comes together.
It’s not a big system, but it already feels like a real tool. And from here, you can easily expand it into things like:
- PDF summarizers
- YouTube video summarizers
- note-taking assistants
- Slack or Discord bots
The more I work with Python + AI, the more I feel like the real skill is not writing complex code anymore it’s just connecting the right pieces together.
That’s it. Simple idea, simple code, but surprisingly useful.
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