app.py

import gradio as gr
from PIL import Image
from vit_model_test import CustomModel

# Initialize the model
model = CustomModel()

def predict(image: Image.Image):
    animation.visible = True  # הראה את האנימציה
    label, confidence = model.predict(image)
    result = "AI image" if label == 1 else "Real image"
    animation.visible = False  # הסתר את האנימציה
    return result, f"Confidence: {confidence:.2f}%"


# Define the Gradio interface
demo = gr.Interface(
    fn=predict,
    inputs=gr.Image(type="pil"),
    outputs=[gr.Textbox(), gr.Textbox()],
    title="Vision Transformer Model",
    description="Upload an image to classify it using the Vision Transformer model.",
    live=True,  # מאפשר חיזוי מיידי
)

# Add video component
animation = gr.Video("https://cdn-uploads.huggingface.co/production/uploads/66d6f1b3b50e35e1709bfdf7/x7Ud8PO9QPfmrTvBVcCKE.mp4", visible=False)  # הכניסי את ה-URL הנכון

# Launch the Gradio interface
if __name__ == "__main__":
    demo.launch()