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Check out the documentation for more information.
File Overview:
- test_images: Contains all test sample images either in /Real or /AI depending on classification
- app.py: Main page
- best_model.keras: Uploaded model from Google Colab notebook
- requirements.txt: All imports
App.py Overview:
Setup:
- Load model in
- Create list of all images filepaths along with the classification
modelGuess Function:
- Preprocess and provide model the image to classify and return boolean result
guess Function:
- Gets model guess
- Updates human and model score based on guesses
- Create result message curated to guesses along with providing accuracy and end of game winner
nextRound Function:
- Choose the next random image to show and add it to the queue
restart Function:
- Reset scores, called on reload
Gradio Block:
- Image displayed
- Real/AI Buttons, result, and Next button set up in a row
- Set up demo load and all button clicks
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