Deepfake Detection System

Deepfake Detection System

A Gradio app named for deepfake detection, for checking whether media may be fake. Runs in your browser on Hugging Face or on your own computer with Python 3.13.

Made by saimuddineni on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face.

About

What it is: This Space is a Gradio app named Deepfake Detection System. By its name it checks whether a picture or clip may be a deepfake, which means media made or altered by AI.

The README holds only a configuration pointer, so the source gives no feature list. The repository has app.py, requirements.txt and the README.

Who it suits: It suits people who want a quick look at a detector from a browser tab, and developers who want to read a small Gradio app for a detection task.

Industry | Who uses it | How they use it | Example
Journalism | Reporters | Check a suspicious picture or clip | Screening an image before reporting on it
Trust and safety | Moderators | Try the detector on flagged media | Getting a quick second opinion on a flagged item
Education | Teachers and students | Open the app and try some examples | Discussing how deepfakes are detected
AI development | Developers | Read app.py and requirements.txt | Reusing the layout for another detector

Skip it if you need a result you can rely on in a legal or news setting, since the source gives no accuracy figures.

Where to use it: The app runs in these places.

• A web browser, on the Space's page at Hugging Face
• A local copy on Windows, macOS or Linux, running Python 3.13
• Hugging Face's cpu-basic hardware, where the online Space runs

Use case | Who | What they get back
Check a piece of media | Anyone | A detection result in the browser page
Run a private copy | Developers | The same app on their own machine
Study the code | Learners | A short Gradio app with two code files

How to set it up: Online you only need a browser. A local copy needs these.

• Python 3.13 on Windows, macOS or Linux
• The pip command

1. Install the huggingface_hub package.
2. Download the Space's files into a folder with the hf command.
3. Move into that folder.
4. Install gradio at version 6.18.0.
5. Install the packages listed in requirements.txt.
6. Start the app with python app.py.

pip install -U huggingface_hub
hf download saimuddineni/deepfake-detection-system --repo-type space --local-dir deepfake-detection-system
cd deepfake-detection-system
pip install gradio==6.18.0
pip install -r requirements.txt
python app.py

How to use it: Open the Space's page, or run the command below in your copy and open the page the app serves. Then add the media you want checked and run it.

python app.py

Example: You open the Space, add a picture you want checked and run it. The app shows its detection result on the page, though the source does not describe the exact output.

For newcomers and experts: If you are new, open the Space's page and try a picture whose origin you know. A known case helps you judge how far to trust the answer.

If you know the field, the repository is small, with app.py and requirements.txt, and the app uses Gradio 6.18.0 on Python 3.13. The source names no model repository, so it does not say how detection is done or how accurate it is.

Open the Space page or run app.py
Add the media to check
The app runs its detection
The result shows on the same page

Good to know: The source gives only names and files. Treat any detector result as a hint and not as proof.

• License: MIT
• Cost to run: none named
• Data it reaches: the media you give it. The source says nothing else.

On Hugging Face, 13 November 2026

• Likes: 1
• Built with: gradio
• License: mit

Links

• Space: https://huggingface.co/spaces/saimuddineni/deepfake-detection-system
• Files: https://huggingface.co/spaces/saimuddineni/deepfake-detection-system/tree/main

Try it

Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself.